百晓学者学者目录

赵军

副研究员、博士生导师、博导、教授、研究员,中国科学院大学

精选作品

期刊论文

2026

基于解题思维机制的大语言模型多项选择阅读理解增强框架

苏艺淞,张元哲,廖祥文,卫一帆,刘康,赵军

《中文信息学报》

2026

基于多特征语义分割和融合知识图谱的知识增强

尤一,赵军,高媛媛,王学艳,黎有齐

《计算机系统应用》

2026

面向电力安全知识抽取的知识图谱增强大模型混合微调方法

汤向华,江红成,顾明煜,周小勇,赵军,沈斐

《电力信息与通信技术》

2026

基于时间约束逻辑规则引导的时序知识超图链接预测方法

徐旺,王鑫,李钊,郭文斌,杜方,赵军

《计算机科学与探索》

2025

基于LLMs的危化品典型事故文本分类研究

张又元,马新春,赵军

《计算机技术与发展》

2025

注意力增强的语义融合知识图谱表示学习框架

郭文斌,王鑫,李钊,陈子睿,赵军,冯锋,杜方

《计算机研究与发展》

2025

Neural-Symbolic Collaborative Distillation: Advancing Small Language Models for Complex Reasoning Tasks

Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Jun Zhao

Proceedings of the AAAI Conference on Artificial Intelligence

2025

Why and How LLMs Benefit from Knowledge Introspection in Commonsense Reasoning

Chengfeng Zhao, Shizhu He, Shanshan Jiang, Bin Dong, Jun Zhao, Kang Liu

Conference on Empirical Methods in Natural Language Processing (EMNLP)

2025

Beyond Instruction Following: Evaluating Inferential Rule Following of Large Language Models

Wangtao Sun, Chenxiang Zhang, Xueyou Zhang, Xuanqing Yu, Ziyang Huang, Haotian Xu, Shizhu He, Jun Zhao, Kang Liu

Lecture notes in computer science

2025

Enhancing Large Language Models with Pseudo-and Multisource-Knowledge Graphs for Open-ended Question Answering

Jiaxiang Liu, Tong Zhou, Yubo Chen, Jun Zhao, Kang Liu

IEEE International Conference on Data Engineering Workshops (ICDEW)

2025

A Survey of Recent Advances in Commonsense Knowledge Acquisition: Methods and Resources

Chenhao Wang, Jiachun Li, Yubo Chen, Kang Liu, Jun Zhao

Machine Intelligence Research

2025

A Comprehensive Ontology Knowledge Evaluation System for Large Language Models

Xiaotong Qin, Tong Zhou, Yubo Chen, Kang Liu, Jun Zhao

Communications in computer and information science

2024

面向自然语言理解的语义表示方法综述

张翔,何世柱,张元哲,刘康,赵军

《中文信息学报》

2024

图终身学习:综述

刘壮,董子宸,董宜琳,尚家名,张帆,陈雨然,楼佩妍,孙欣然,王昱,赵军,Wayne Lin

《计算机研究与发展》

2024

基于动态邻居选择的知识图谱事实错误检测方法

桂梁,徐遥,何世柱,张元哲,刘康,赵军

《山东大学学报(理学版)》

2024

Large Language Models With Holistically Thought Could Be Better Doctors

Yixuan Weng, Bin Li, Fei Xia, Minjun Zhu, Bin Sun, Shizhu He, Shengping Liu, Kang Liu, Shutao Li A, Jun Zhao

Lecture notes in computer science

2024

Towards Better Quantity Representations for Solving Math Word Problems

Runxin Sun, Shizhu He, Jun Zhao, Kang Liu

ACM Transactions on Asian and Low-Resource Language Information Processing

2024

Information bottleneck based knowledge selection for commonsense reasoning

Zhao Yang, Yuanzhe Zhang, Pengfei Cao, Liu Cao, Jiansong Chen, Jun Zhao, Kang Liu

Information Sciences

2024

On the In-context Generation of Language Models

Zhongtao Jiang, Yuanzhe Zhang, Kun Luo, Xiaowei Yuan, Jun Zhao, Kang Liu

Conference on Empirical Methods in Natural Language Processing (EMNLP)

2024

Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment

Kun Luo, Minghao Qin, Zheng Liu, Shitao Xiao, Jun Zhao, Kang Liu

Conference on Empirical Methods in Natural Language Processing (EMNLP)

2024

Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models

Tianyi Men, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Jun Zhao

Conference on Empirical Methods in Natural Language Processing (EMNLP)

2023

大模型时代的自然语言处理:挑战、机遇与发展

车万翔,窦志成,冯岩松,桂韬,韩先培,户保田,黄民烈,黄萱菁,刘康,刘挺,刘知远,秦兵,邱锡鹏,万小军,王宇轩,文继荣,严睿,张家俊,张民,张奇,赵军,赵鑫,赵妍妍

《中国科学:信息科学》

2023

MMHQA-ICL: Multimodal In-context Learning for Hybrid Question Answering over Text, Tables and Images

Weihao Liu, Fangyu Lei, Tongxu Luo, Jiahe Lei, Shi-Zhu He, Jun Zhao, Kang Liu

arXiv.org

2023

HRoT: Hybrid prompt strategy and Retrieval of Thought for Table-Text Hybrid Question Answering

Tongxu Luo, Fangyu Lei, Jiahe Lei, Weihao Liu, Shi-Zhu He, Jun Zhao, Kang Liu

arXiv.org

2023

Explanation Guided Knowledge Distillation for Pre-trained Language Model Compression

Zhao Yang, Yuanzhe Zhang, Dianbo Sui, Yiming Ju, Jun Zhao, Kang Liu

ACM Transactions on Asian and Low-Resource Language Information Processing

2023

Unsupervised Domain Adaptation on Sentence Matching Through Self-Supervision

Guirong Bai, Qingbin Liu, Shizhu He, Kang Liu, Jun Zhao

Journal of Computer Science and Technology

2023

Knowledge Reasoning via Jointly Modeling Knowledge Graphs and Soft Rules

Yinyu Lan, Shizhu He, Kang Liu, Jun Zhao

Applied Sciences

2023

Unsupervised Dialogue State Tracking for End-to-End Task-Oriented Dialogue with a Multi-Span Prediction Network

Qingbin Liu, Shizhu He, Cao Liu, Kang Liu, Jun Zhao

Journal of Computer Science and Technology

2023

Bidirectional Sentence Ordering with Interactive Decoding

Guirong Bai, Shizhu He, Kang Liu, Jun Zhao

ACM Transactions on Asian and Low-Resource Language Information Processing

2023

LEGO: A Multi-agent Collaborative Framework with Role-playing and Iterative Feedback for Causality Explanation Generation

Zhi-Tao He, Pengfei Cao, Yubo Chen, Kang Liu, Ruopeng Li, Mengshu Sun, Jun Zhao

2023

Event Ontology Completion with Hierarchical Structure Evolution Networks

Pengfei Cao, Yupu Hao, Yubo Chen, Kang Liu, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Jun Zhao

Conference on Empirical Methods in Natural Language Processing (EMNLP)

2023

What Events Do Pre-trained Language Models Learn from Text? Probing Event-Based Commonsense Knowledge by Confidence Sorting

Jiachun Li, Chenhao Wang, Yubo Chen, Kang Liu, Jun Zhao

Lecture notes in computer science

2023

Large Language Models are Better Reasoners with Self-Verification

Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Shengping Liu, Bin Sun, Kang Liu, Jun Zhao

2023

MenatQA: A New Dataset for Testing the Temporal Comprehension and Reasoning Abilities of Large Language Models

Yifan Wei, Yisong Su, Huanhuan Ma, Xiaoyan Yu, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, Kang Liu

2023

S3HQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering

Fangyu Lei, Xiang Li, Yifan Wei, Shizhu He, Yiming Huang, Jun Zhao, Kang Liu

Annual Meeting of the Association for Computational Linguistics (ACL)

2023

Generative Calibration for In-context Learning

Zhongtao Jiang, Yuanzhe Zhang, Liu Cao, Jun Zhao, Kang Liu

2023

Complex Event Schema Induction with Knowledge-Enriched Diffusion Model

Yupu Hao, Pengfei Cao, Yubo Chen, Kang Liu, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Jun Zhao

2023

Class Lifelong Learning for Intent Detection via Structure Consolidation Networks

Qingbin Liu, Yanchao Hao, Xiaolong Liu, Bo Li, Dianbo Sui, Shizhu He, Kang Liu, Jun Zhao, Xi Chen, Ningyu Zhang, Jiaoyan Chen

2022

基于Beta分布和半监督学习的非确定性知识图谱嵌入模型

徐遥,何世柱,刘康,张弛,焦飞,赵军

《中文信息学报》

2022

知识图谱 算法与实践

赵军

《高等教育出版社》

2022

基于自适应知识选择的机器阅读理解

李泽政,田志兴,张元哲,刘康,赵军

《中文信息学报》

2022

CogKGE: A Knowledge Graph Embedding Toolkit and Benchmark for Representing Multi-source and Heterogeneous Knowledge

Zhuo-Ran Jin, Tianyi Men, Hongbang Yuan, Zhi-Tao He, Dianbo Sui, Chenhao Wang, Zhipeng Xue, Yubo Chen, Jun Zhao

Annual Meeting of the Association for Computational Linguistics

2022

ReasonChainQA: Text-based Complex Question Answering with Explainable Evidence Chains

Minjun Zhu, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao

China Automation Congress (CAC)

2022

Script Event Prediction via Multilingual Event Graph Networks

Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao

ACM Transactions on Asian and Low-Resource Language Information Processing

2022

Multi-Turn and Multi-Granularity Reader for Document-Level Event Extraction

Hang Yang, Yubo Chen, Kang Liu, Jun Zhao, Zuyu Zhao, Weijian Sun

ACM Transactions on Asian and Low-Resource Language Information Processing

2022

Enhance Both Text and Label: Combination Strategies for Improving the Generalization Ability of Medical Entity Extraction

Zhen Gan, Zhucong Li, Baoli Zhang, Jing Wan, Yubo Chen, Kang Liu, Jun Zhao, Yafei Shi, Shengping Liu

Communications in computer and information science

2022

CN-AutoMIC: Distilling Chinese Commonsense Knowledge from Pretrained Language Models

Chenhao Wang, Jiachun Li, Yubo Chen, Kang Liu, Jun Zhao

Conference on Empirical Methods in Natural Language Processing (EMNLP)

2022

Does BERT Know Which Answer Beyond the Question?

Fei Xia, Yixuan Weng, Maojin Xia, Qiang Yu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao

Communications in computer and information science

2022

Learning to Answer Complex Visual Questions from Multi-View Analysis

Minjun Zhu, Yixuan Weng, Shizhu He, Kang Liu, Jun Zhao

Communications in computer and information science

2022

Incremental Intent Detection for Medical Domain with Contrast Replay Networks

Guirong Bai, Shizhu He, Kang Liu, Jun Zhao

Findings of the Association for Computational Linguistics: ACL 2022

2022

LingJing at SemEval-2022 Task 3: Applying DeBERTa to Lexical-level Presupposed Relation Taxonomy with Knowledge Transfer

Fei Xia, Bin Li, Yixuan Weng, Shizhu He, Bin Sun, Shutao Li A, Kang Liu, Jun Zhao

International Workshop on Semantic Evaluation (SemEval)

2022

CogKTR: A Knowledge-Enhanced Text Representation Toolkit for Natural Language Understanding

Zhuoran Jin, Tianyi Men, Hongbang Yuan, Yuyang Zhou, Pengfei Cao, Yubo Chen, Zhipeng Xue, Kang Liu, Jun Zhao

Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP)

2022

Leveraging Explicit Lexico-logical Alignments in Text-to-SQL Parsing

Runxin Sun, Shizhu He, Chong Zhu, Yaohan He, Jinlong Li, Jun Zhao, Kang Liu

Annual Meeting of the Association for Computational Linguistics (ACL)

2022

CASIA at SemEval-2022 Task 11: Chinese Named Entity Recognition for Complex and Ambiguous Entities

Jia Fu, Zhen Gan, Zhucong Li, Sirui Li, Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao

International Workshop on Semantic Evaluation (SemEval)

2021

前言

虎嵩林,赵军,唐杰,秦兵,石川,颜水成

《计算机研究与发展》

2021

基于动态词遮掩的句子匹配预训练模型

宋挺,郭展成,何世柱,刘康,赵军,刘升平

《中文信息学报》

2021

用于金融文本挖掘的多任务学习预训练金融语言模型

刘壮,刘畅,Wayne Lin,赵军

《计算机研究与发展》

2021

CogNet: Bridging Linguistic Knowledge, World Knowledge and Commonsense Knowledge

Chenhao Wang, Yubo Chen, Zhipeng Xue, Yang Zhou, Jun Zhao

AAAI Conference on Artificial Intelligence

2021

What the Role is vs. What Plays the Role: Semi-Supervised Event Argument Extraction via Dual Question Answering

Yang Zhou, Yubo Chen, Jun Zhao, Yin Wu, Jiexin Xu, Jinlong Li

Proceedings of the AAAI Conference on Artificial Intelligence

2021

Using Pre-trained Language Model to Enhance Active Learning for Sentence Matching

Guirong Bai, Shizhu He, Kang Liu, Jun Zhao

ACM Transactions on Asian and Low-Resource Language Information Processing

2021

Example-guided stylized response generation in zero-shot setting

Guirong Bai, Shizhu He, Kang Liu, Jun Zhao

Science China Information Sciences

2021

A Unified Shared-Private Network with Denoising for Dialogue State Tracking

Qingbin Liu, Shizhu He, Kang Liu, Sheng-Ping Liu, Jun Zhao

Journal of Computer Science and Technology

2021

Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion

Yinyu Lan, Shizhu He, Kang Liu, Xiangrong Zeng, Shengping Liu, Jun Zhao

BMC Medical Informatics and Decision Making

2021

Enhancing unsupervised medical entity linking with multi-instance learning

Cheng Yan, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yafei Shi, Shengping Liu

BMC Medical Informatics and Decision Making

2021

Uncertainty-Aware Self-Training for Semi-Supervised Event Temporal Relation Extraction

Pengfei Cao, Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao, Wei Bi

Proceedings of the ... ACM International Conference on Information & Knowledge Management

2021

Multi-Task Self-Supervised Learning for Script Event Prediction

Bo Zhou, Yubo Chen, Kang Liu, Jun Zhao, Jiexin Xu, Xiaojian Jiang, Jinlong Li

Proceedings of the ... ACM International Conference on Information & Knowledge Management

2021

Multi-Sentence Argument Linking via An Event-Aware Hierarchical Encoder

Hang Yang, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang

Proceedings of the ... ACM International Conference on Information & Knowledge Management

2021

LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification

Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng, Yuguang Chen

2021

Heterogeneous Relational Graph Neural Networks with Adaptive Objective for End-to-End Task-Oriented Dialogue

Qingbin Liu, Guirong Bai, Shizhu He, Cao Liu, Kang Liu, Jun Zhao

Knowledge-Based Systems

2021

Document-level Event Extraction via Parallel Prediction Networks

Hang Yang, Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang

2021

Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks

Pengfei Cao, Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao, Yuguang Chen, Weihua Peng

2021

Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement

Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng, Yuguang Chen

2021

Automatic ICD Coding via Interactive Shared Representation Networks with Self-distillation Mechanism

Tong Zhou, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Kun Niu, Weifeng Chong, Shengping Liu

2021

A Large-Scale Chinese Multimodal NER Dataset with Speech Clues

Dianbo Sui, Zhengkun Tian, Yubo Chen, Kang Liu, Jun Zhao

2021

Alignment Rationale for Natural Language Inference

Zhongtao Jiang, Yuanzhe Zhang, Yang Zhao, Jun Zhao, Kang Liu

2021

Uncertain Local-to-Global Networks for Document-Level Event Factuality Identification

Pengfei Cao, Yubo Chen, Yuqing Yang, Kang Liu, Jun Zhao

Conference on Empirical Methods in Natural Language Processing (EMNLP)

2021

Set Generation Networks for End-to-End Knowledge Base Population

Dianbo Sui, Chenhao Wang, Yubo Chen, Kang Liu, Jun Zhao, Wei Bi

Conference on Empirical Methods in Natural Language Processing (EMNLP)

2021

Semi-Supervised Noisy Label Learning for Chinese Clinical Named Entity Recognition

Zhucong Li, Zhen Gan, Baoli Zhang, Yubo Chen, Jing Wan, Kang Liu, Jun Zhao, Shengping Liu

Data Intelligence

2021

Enhancing Multiple-choice Machine Reading Comprehension by Punishing Illogical Interpretations

Yiming Ju, Yuanzhe Zhang, Zhixing Tian, Kang Liu, Xiaohuan Cao, Wenting Zhao, Jinlong Li, Jun Zhao

Conference on Empirical Methods in Natural Language Processing (EMNLP)

2021

Probing into the Root: A Dataset for Reason Extraction of Structural Events from Financial Documents

Pei Chen, Kang Liu, Yubo Chen, Taifeng Wang, Jun Zhao

2021

Multi-strategy Knowledge Distillation Based Teacher-Student Framework for Machine Reading Comprehension

Xiaoyan Yu, Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao, Yongbin Zhou

Lecture notes in computer science

2021

Domain-Lifelong Learning for Dialogue State Tracking via Knowledge Preservation Networks

Qingbin Liu, Pengfei Cao, Cao Liu, Jiansong Chen, Xunliang Cai, Fan Yang, Shizhu He, Kang Liu, Jun Zhao

Conference on Empirical Methods in Natural Language Processing (EMNLP)

2021

Classification, Extraction, and Normalization : CASIA_Unisound Team at the Social Media Mining for Health 2021 Shared Tasks

Tong Zhou, Zhucong Li, Zhen Gan, Baoli Zhang, Yubo Chen, Kun Niu, Jing Wan, Kang Liu, Jun Zhao, Yafei Shi, Weifeng Chong, Shengping Liu

2021

CogIE: An Information Extraction Toolkit for Bridging Texts and CogNet

Zhuoran Jin, Yubo Chen, Dianbo Sui, Chenhao Wang, Zhipeng Xue, Jun Zhao

2021

Meta Learning for Event Argument Extraction via Domain-Specific Information Enhanced

Hang Yang, Yubo Chen, Kang Liu, Jun Zhao

Communications in computer and information science

2021

CroAno : A Crowd Annotation Platform for Improving Label Consistency of Chinese NER Dataset

Baoli Zhang, Zhucong Li, Zhen Gan, Yubo Chen, Jing Wan, Kang Liu, Jun Zhao, Shengping Liu, Yafei Shi

Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP)

2021

Topic Knowledge Acquisition and Utilization for Machine Reading Comprehension in Social Media Domain

Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao

Lecture notes in computer science

2021

Toward a Better Text Data Augmentation via Filtering and Transforming Augmented Instances

Fei Xia, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao

Communications in computer and information science

2020

《知识图谱》

赵军,刘康,何世柱,陈玉博

《中文信息学报》

2020

Knowledge Guided Metric Learning for Few-Shot Text Classification

Dianbo Sui, Yu-Bo Chen, B. Mao, De-Lai Qiu, Kang Liu, Jun Zhao

North American Chapter of the Association for Computational Linguistics

2020

Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks

Tao Bai, Jinqi Luo, Jun Zhao

arXiv.org

2020

Generating Adversarial yet Inconspicuous Patches with a Single Image

Jinqi Luo, Tao Bai, Jun Zhao, Bo Li

arXiv.org

2020

Pre-trained Language Model Based Active Learning for Sentence Matching

Guirong Bai, Shi-Zhu He, Kang Liu, Jun Zhao, Zai-Qing Nie

International Conference on Computational Linguistics

2020

AI-GAN: Attack-Inspired Generation of Adversarial Examples

Tao Bai, Jun Zhao, Jinlin Zhu, Shoudong Han, Jiefeng Chen, Bo Li, A. Kot

International Conference on Information Photonics

2020

Deep Robust Multilevel Semantic Cross-Modal Hashing

Ge Song, Jun Zhao, Xiaoyang Tan

arXiv.org

2020

Graph-Based Knowledge Integration for Question Answering over Dialogue

Jian Liu, Dianbo Sui, Kang Liu, Jun Zhao

International Conference on Computational Linguistics

2020

TIMiner: Automatically extracting and analyzing categorized cyber threat intelligence from social data

Jun Zhao, Qiben Yan, Jianxin Li, Minglai Shao, Zuti He, B. Li

Computers & security

2020

Reconstructing Event Regions for Event Extraction via Graph Attention Networks

Pei Chen, Hang Yang, Kang Liu, Ruihong Huang, Yu-Bo Chen, Tai-Feng Wang, Jun Zhao

AACL

2020

Chinese Named Entity Recognition via Adaptive Multi-pass Memory Network with Hierarchical Tagging Mechanism

Pengfei Cao, Yu-Bo Chen, Kang Liu, Jun Zhao

China National Conference on Chinese Computational Linguistics

2020

Incremental Event Detection via Knowledge Consolidation Networks

Pengfei Cao, Yu-Bo Chen, Jun Zhao, Tai-Feng Wang

Conference on Empirical Methods in Natural Language Processing

2020

Cyber Threat Intelligence Modeling Based on Heterogeneous Graph Convolutional Network

Jun Zhao, Qiben Yan, Xudong Liu, B. Li, Guangsheng Zuo

International Symposium on Recent Advances in Intrusion Detection

2020

Feature Distillation With Guided Adversarial Contrastive Learning

Tao Bai, Jinnan Chen, Jun Zhao, Bi-Han Wen, Xu-Dong Jiang, A. Kot

arXiv.org

2020

Distantly Supervised Relation Extraction in Federated Settings

Dianbo Sui, Yu-Bo Chen, Kang Liu, Jun Zhao

Conference on Empirical Methods in Natural Language Processing

2020

Poisson Kernel Avoiding Self-Smoothing in Graph Convolutional Networks

Zi-Qing Yang, Shoudong Han, Jun Zhao

arXiv.org

2020

FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction

Dianbo Sui, Yu-Bo Chen, Jun Zhao, Yantao Jia, Yuantao Xie, Weijian Sun

Conference on Empirical Methods in Natural Language Processing

2020

Joint Entity and Relation Extraction With Set Prediction Networks

Dianbo Sui, Xiangrong Zeng, Yu-Bo Chen, Kang Liu, Jun Zhao

IEEE Transactions on Neural Networks and Learning Systems

2020

Semantics-Reinforced Networks for Question Generation

Zhuang Liu, Kai-Yu Huang, De-Gen Huang, Jun Zhao

European Conference on Artificial Intelligence

2020

FinBERT: A Pre-trained Financial Language Representation Model for Financial Text Mining

Zhuang Liu, De-Gen Huang, Kai-Yu Huang, Zhuang Li, Jun Zhao

International Joint Conference on Artificial Intelligence

2020

Knowledge Enhanced Event Causality Identification with Mention Masking Generalizations

Jian Liu, Yubo Chen, Jun Zhao

International Joint Conference on Artificial Intelligence

2020

KnowDis: Knowledge Enhanced Data Augmentation for Event Causality Detection via Distant Supervision

Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao

International Conference on Computational Linguistics

2020

Extracting Events and Their Relations from Texts: A Survey on Recent Research Progress and Challenges

Kang Liu, Yubo Chen, Jian Liu, Xinyu Zuo, Jun Zhao

AI Open

2020

Scene Restoring for Narrative Machine Reading Comprehension

Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yantao Jia, Zhicheng Sheng

Conference on Empirical Methods in Natural Language Processing (EMNLP)

2020

Clinical-Coder: Assigning Interpretable ICD-10 Codes to Chinese Clinical Notes

Pengfei Cao, Chenwei Yan, Xiangling Fu, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu, Weifeng Chong

Annual Meeting of the Association for Computational Linguistics: System Demonstrations (ACL Demo)

2020

Towards Causal Explanation Detection with Pyramid Salient-Aware Network

Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao

Lecture notes in computer science

2019

基于联合标注和全局推理的篇章级事件抽取

仲伟峰,杨航,陈玉博,刘康,赵军

《中文信息学报》

2019

一种使用多跳事实的端到端知识库实体描述生成方法

孟庆松,张翔,何世柱,刘康,赵军

《中文信息学报》

2019

IntentGC: A Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation

Jun Zhao, Zhou Zhou, Ziyu Guan, Wei Zhao, Wei Ning, Guang Qiu, Xiao-Fei He

Knowledge Discovery and Data Mining

2019

Attention-Based Direct Interaction Model for Knowledge Graph Embedding

Bo Zhou, Yu-Bo Chen, Kang Liu, Jun Zhao

Joint International Conference of Semantic Technology

2019

Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss

Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao

2019

Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network

Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Shengping Liu

2019

Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning

Xiangrong Zeng, Shizhu He, Daojian Zeng, Kang Liu, Shengping Liu, Jun Zhao

2019

Neural Cross-Lingual Event Detection with Minimal Parallel Resources

Jian Liu, Yubo Chen, Kang Liu, Jun Zhao

2019

Machine Reading Comprehension Using Structural Knowledge Graph-aware Network

Delai Qiu, Yuanzhe Zhang, Xinwei Feng, Xiangwen Liao, Wenbin Jiang, Yajuan Lyu, Kang Liu, Jun Zhao

2019

Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots

Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao

Conference on Computational Natural Language Learning

2019

Vocabulary Pyramid Network: Multi-Pass Encoding and Decoding with Multi-Level Vocabularies for Response Generation

Liu Cao, Shizhu He, Kang Liu, Jun Zhao

Annual Meeting of the Association for Computational Linguistics (ACL)

2019

Variational Attention for Commonsense Knowledge Aware Conversation Generation

Guirong Bai, Shizhu He, Kang Liu, Jun Zhao

Lecture notes in computer science

2019

Utterance Alignment in Custom Service by Integer Programming

Guirong Bai, Shizhu He, Kang Liu, Jun Zhao

Lecture notes in computer science

2019

Reconstructed Option Rereading Network for Opinion Questions Reading Comprehension

Delai Qiu, Liang Bao, Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao, Xiangwen Liao

Lecture notes in computer science

2019

Adaptive Multilingual Representations for Cross-Lingual Entity Linking with Attention on Entity Descriptions

Chenhao Wang, Yubo Chen, Kang Liu, Jun Zhao

Communications in computer and information science

2018

知识图谱

赵军

《高等教育出版社》

2018

Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism

Xiangrong Zeng, Dao-Jian Zeng, Shi-Zhu He, Kang Liu, Jun Zhao

Annual Meeting of the Association for Computational Linguistics

2018

Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism

Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Sheng-Ping Liu

Conference on Empirical Methods in Natural Language Processing

2018

Pattern-revising Enhanced Simple Question Answering over Knowledge Bases

Yanchao Hao, Hao Liu, Shi-Zhu He, Kang Liu, Jun Zhao

International Conference on Computational Linguistics

2018

DCFEE: A Document-level Chinese Financial Event Extraction System based on Automatically Labeled Training Data

Hang Yang, Yubo Chen, Kang Liu, Yang Xiao, Jun Zhao

Annual Meeting of the Association for Computational Linguistics

2018

Learning to Detect Verbose Expressions in Spoken Texts

Qingbin Liu, Shi-Zhu He, Kang Liu, Sheng-Ping Liu, Jun Zhao

China National Conference on Chinese Computational Linguistics

2018

Deep Semantic Hashing with Multi-Adversarial Training

Bing-Ning Wang, Kang Liu, Jun Zhao

International Conference on Information and Knowledge Management

2018

Collective Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-level Attention Mechanisms

Yubo Chen, Hang Yang, Kang Liu, Jun Zhao, Yantao Jia

Conference on Empirical Methods in Natural Language Processing

2018

Curriculum Learning for Natural Answer Generation

Cao Liu, Shi-Zhu He, Kang Liu, Jun Zhao

International Joint Conference on Artificial Intelligence

2018

Large Scaled Relation Extraction With Reinforcement Learning

Xiangrong Zeng, Shi-Zhu He, Kang Liu, Jun Zhao

AAAI Conference on Artificial Intelligence

2018

Event Detection via Gated Multilingual Attention Mechanism

Jian Liu, Yubo Chen, Kang Liu, Jun Zhao

AAAI Conference on Artificial Intelligence

2017

基于网络语义标签的多源知识库实体对齐算法

王雪鹏,刘康,何世柱,刘树林,张元哲,赵军

《计算机学报》

2017

Automatically Labeled Data Generation for Large Scale Event Extraction

Yubo Chen, Shulin Liu, Xiang Zhang, Kang Liu, Jun Zhao

Annual Meeting of the Association for Computational Linguistics

2017

Improving Event Detection via Information Sharing Among Related Event Types

Shulin Liu, Yubo Chen, Kang Liu, Jun Zhao, Zhunchen Luo, W. Luo

China National Conference on Chinese Computational Linguistics

2017

Unsupervised Joint Entity Linking over Question Answering Pair with Global Knowledge

Cao Liu, Shi-Zhu He, Hang Yang, Kang Liu, Jun Zhao

China National Conference on Chinese Computational Linguistics

2017

Generating Natural Answers by Incorporating Copying and Retrieving Mechanisms in Sequence-to-Sequence Learning

Shi-Zhu He, Cao Liu, Kang Liu, Jun Zhao

Annual Meeting of the Association for Computational Linguistics

2017

Detecting Deceptive Review Spam via Attention-Based Neural Networks

Xuepeng Wang, Kang Liu, Jun Zhao

Natural Language Processing and Chinese Computing

2017

Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks?

Shang-Min Guo, Xiangrong Zeng, Shi-Zhu He, Kang Liu, Jun Zhao

Conference of the European Chapter of the Association for Computational Linguistics

2017

IJCNLP-2017 Task 5: Multi-choice Question Answering in Examinations

Shang-Min Guo, Kang Liu, Shi-Zhu He, Cao Liu, Jun Zhao, Zhuoyu Wei

International Joint Conference on Natural Language Processing

2017

Attention-Based Event Relevance Model for Stock Price Movement Prediction

Jian Liu, Jian Liu, Yubo Chen, Kang Liu, Jun Zhao

China Conference on Knowledge Graph and Semantic Computing

2017

Exploiting Argument Information to Improve Event Detection via Supervised Attention Mechanisms

Shulin Liu, Yubo Chen, Kang Liu, Jun Zhao

Annual Meeting of the Association for Computational Linguistics

2017

An End-to-End Model for Question Answering over Knowledge Base with Cross-Attention Combining Global Knowledge

Yanchao Hao, Yuanzhe Zhang, Kang Liu, Shi-Zhu He, Zhan-Yi Liu, Hua Wu, Jun Zhao

Annual Meeting of the Association for Computational Linguistics

2017

Handling Cold-Start Problem in Review Spam Detection by Jointly Embedding Texts and Behaviors

Xuepeng Wang, Kang Liu, Jun Zhao

Annual Meeting of the Association for Computational Linguistics

2017

Distant Supervision for Relation Extraction with Sentence-Level Attention and Entity Descriptions

Guoliang Ji, Kang Liu, Shi-Zhu He, Jun Zhao

AAAI Conference on Artificial Intelligence

2017

Self-Taught Convolutional Neural Networks for Short Text Clustering

Jiaming Xu, Bo Xu, Peng Wang, Suncong Zheng, Guanhua Tian, Jun Zhao

Neural Networks

2017

Conditional Generative Adversarial Networks for Commonsense Machine Comprehension

Bing-Ning Wang, Kang Liu, Jun Zhao

International Joint Conference on Artificial Intelligence

2017

How to Generate a Good Word Embedding?

Siwei Lai, Kang Liu, Shi He, Jun Zhao

IEEE Intelligent Systems

2016

基于表示学习的知识库问答研究进展与展望

刘康,张元哲,纪国良,来斯惟,赵军

《自动化学报》

2016

融合多种特征的实体链接技术研究

陈玉博,何世柱,刘康,赵军,吕学强

《中文信息学报》

2016

A Joint Embedding Method for Entity Alignment of Knowledge Bases

Yanchao Hao, Yuanzhe Zhang, Shi-Zhu He, Kang Liu, Jun Zhao

China Conference on Knowledge Graph and Semantic Computing

2016

Leveraging FrameNet to Improve Automatic Event Detection

Shulin Liu, Yubo Chen, Shi-Zhu He, Kang Liu, Jun Zhao

Annual Meeting of the Association for Computational Linguistics

2016

Link Prediction via Mining Markov Logic Formulas to Improve Social Recommendation

Zhuoyu Wei, Jun Zhao, Kang Liu, Shi-Zhu He

China Conference on Knowledge Graph and Semantic Computing

2016

Mining Inference Formulas by Goal-Directed Random Walks

Zhuoyu Wei, Jun Zhao, Kang Liu

Conference on Empirical Methods in Natural Language Processing

2016

Inner Attention based Recurrent Neural Networks for Answer Selection

Bing-Ning Wang, Kang Liu, Jun Zhao

Annual Meeting of the Association for Computational Linguistics

2016

Learning the Multilingual Translation Representations for Question Retrieval in Community Question Answering via Non-Negative Matrix Factorization

Guang-You Zhou, Zhiwen Xie, Ting-Ting He, Jun Zhao, X. Hu

IEEE/ACM Transactions on Audio Speech and Language Processing

2016

Event Extraction via Bidirectional Long Short-Term Memory Tensor Neural Networks

Yubo Chen, Shulin Liu, Shi-Zhu He, Kang Liu, Jun Zhao

China National Conference on Chinese Computational Linguistics

2016

Learning to Represent Review with Tensor Decomposition for Spam Detection

Xuepeng Wang, Kang Liu, Shi-Zhu He, Jun Zhao

Conference on Empirical Methods in Natural Language Processing

2016

A Joint Model for Question Answering over Multiple Knowledge Bases

Yuanzhe Zhang, Shi-Zhu He, Kang Liu, Jun Zhao

AAAI Conference on Artificial Intelligence

2016

Knowledge Graph Completion with Adaptive Sparse Transfer Matrix

Guoliang Ji, Kang Liu, Shi-Zhu He, Jun Zhao

AAAI Conference on Artificial Intelligence

2016

A Probabilistic Soft Logic Based Approach to Exploiting Latent and Global Information in Event Classification

Shulin Liu, Kang Liu, Shi-Zhu He, Jun Zhao

AAAI Conference on Artificial Intelligence

2016

Employing External Rich Knowledge for Machine Comprehension

Bing-Ning Wang, Shang-Min Guo, Kang Liu, Shi-Zhu He, Jun Zhao

International Joint Conference on Artificial Intelligence

2015

一种基于图模型的维基概念相似度计算方法及其在实体链接系统中的应用

张涛,刘康,赵军

《中文信息学报》

2015

Learning to Represent Knowledge Graphs with Gaussian Embedding

Shi-Zhu He, Kang Liu, Guoliang Ji, Jun Zhao

International Conference on Information and Knowledge Management

2015

Short Text Hashing Improved by Integrating Multi-granularity Topics and Tags

Jiaming Xu, Bo Xu, Guanhua Tian, Jun Zhao, Fangyuan Wang, Hong-Wei Hao

Conference on Intelligent Text Processing and Computational Linguistics

2015

Knowledge Graph Embedding via Dynamic Mapping Matrix

Guoliang Ji, Shi-Zhu He, Li-Heng Xu, Kang Liu, Jun Zhao

Annual Meeting of the Association for Computational Linguistics

2015

Sentiment-Aspect Extraction based on Restricted Boltzmann Machines

Linlin Wang, Kang Liu, Zhu Cao, Jun Zhao, Gerard de Melo

Annual Meeting of the Association for Computational Linguistics

2015

How to Generate a Good Word Embedding

Si-Wei Lai, Kang Liu, Shi-Zhu He, Jun Zhao

IEEE Intelligent Systems

2015

Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks

Yubo Chen, Li-Heng Xu, Kang Liu, Dao-Jian Zeng, Jun Zhao

Annual Meeting of the Association for Computational Linguistics

2015

Question Answering over Knowledge Bases

Kang Liu, Jun Zhao, Shi-Zhu He, Yuanzhe Zhang

IEEE Intelligent Systems

2015

Book Review: Sentiment Analysis: Mining Opinions, Sentiments, and Emotions by Bing Liu

Jun Zhao, Kang Liu, Li-Heng Xu

International Conference on Computational Logic

2015

Co-Extracting Opinion Targets and Opinion Words from Online Reviews Based on the Word Alignment Model

Kang Liu, Li-Heng Xu, Jun Zhao

IEEE Transactions on Knowledge and Data Engineering

2015

Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering

Guang-You Zhou, Ting-Ting He, Jun Zhao, P. Hu

Annual Meeting of the Association for Computational Linguistics

2015

Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks

Dao-Jian Zeng, Kang Liu, Yubo Chen, Jun Zhao

Conference on Empirical Methods in Natural Language Processing

2015

A Subspace Learning Framework for Cross-Lingual Sentiment Classification with Partial Parallel Data

Guang-You Zhou, Ting-Ting He, Jun Zhao, Wen-Sheng Wu

International Joint Conference on Artificial Intelligence

2015

A Novel Hierarchical Convolutional Neural Network for Question Answering over Paragraphs

Suncong Zheng, Hong-Yun Bao, Jun Zhao, Jie Zhang, Zhen-Yu Qi, Hong-Wei Hao

2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)

2015

Recurrent Convolutional Neural Networks for Text Classification

Si-Wei Lai, Li-Heng Xu, Kang Liu, Jun Zhao

AAAI Conference on Artificial Intelligence

2014

语言计算的重要国际前沿

孙茂松,刘挺,姬东鸿,穗志方,赵军,张钹,吾守尔·斯拉木,俞士汶,朱军,李建民,刘洋,王厚峰,吐尔根·依布拉音,刘群,刘知远

《中文信息学报》

2014

Group Non-negative Matrix Factorization with Natural Categories for Question Retrieval in Community Question Answer Archives

Guang-You Zhou, Yubo Chen, Dao-Jian Zeng, Jun Zhao

International Conference on Computational Linguistics

2014

CASIA@V2: A MLN-based Question Answering System over Linked Data

Shi-Zhu He, Yuanzhe Zhang, Kang Liu, Jun Zhao

Conference and Labs of the Evaluation Forum

2014

Extracting Opinion Targets and Opinion Words from Online Reviews with Graph Co-ranking

Kang Liu, Li-Heng Xu, Jun Zhao

Annual Meeting of the Association for Computational Linguistics

2014

Ontology Matching with Word Embeddings

Yuanzhe Zhang, Xuepeng Wang, Si-Wei Lai, Shi-Zhu He, Kang Liu, Jun Zhao, Xueqiang Lv

China National Conference on Chinese Computational Linguistics

2014

Joint Opinion Relation Detection Using One-Class Deep Neural Network

Li-Heng Xu, Kang Liu, Jun Zhao

International Conference on Computational Linguistics

2014

Distant Supervision for Relation Extraction via Sparse Representation

Dao-Jian Zeng, Si-Wei Lai, Xuepeng Wang, Kang Liu, Jun Zhao, Xueqiang Lv

China National Conference on Chinese Computational Linguistics

2014

Relation Classification via Convolutional Deep Neural Network

Dao-Jian Zeng, Kang Liu, Si-Wei Lai, Guang-You Zhou, Jun Zhao

International Conference on Computational Linguistics

2014

Bridging the Language Gap: Learning Distributed Semantics for Cross-Lingual Sentiment Classification

Guang-You Zhou, Ting-Ting He, Jun Zhao

Natural Language Processing and Chinese Computing

2014

An empirical study of topic-sensitive probabilistic model for expert finding in question answer communities

Guang-You Zhou, Jun Zhao, Ting-Ting He, Wen-Sheng Wu

Knowledge-Based Systems

2014

Product Feature Mining: Semantic Clues versus Syntactic Constituents

Li-Heng Xu, Kang Liu, Si-Wei Lai, Jun Zhao

Annual Meeting of the Association for Computational Linguistics

2014

Conclusions and a Road Map for Future Developments

Jun Zhao, Kang Liu, Guang-You Zhou, Zhen-Yu Qi, Yang Liu, Xianpei Han

Mining User Generated Content

2014

Question Answering over Linked Data Using First-order Logic

Shi-Zhu He, Kang Liu, Yuanzhe Zhang, Li-Heng Xu, Jun Zhao

Conference on Empirical Methods in Natural Language Processing

2014

Exploring Fine-grained Entity Type Constraints for Distantly Supervised Relation Extraction

Yang Liu, Kang Liu, Li-Heng Xu, Jun Zhao

International Conference on Computational Linguistics

2014

Short Text Hashing Improved by Integrating Topic Features and Tags

Jiaming Xu, Bo Xu, Jun Zhao, Guanhua Tian, Heng Zhang, Hong-Wei Hao

International Conference on Neural Information Processing

2014

Reasoning Over Relations Based on Chinese Knowledge Bases

Guoliang Ji, Yinghua Zhang, Hong-Wei Hao, Jun Zhao

China National Conference on Chinese Computational Linguistics

2014

Sentiment Classification with Graph Co-Regularization

Guang-You Zhou, Jun Zhao, Dao-Jian Zeng

International Conference on Computational Linguistics

2013

基于表示学习的中文分词算法探索

来斯惟,徐立恒,陈玉博,刘康,赵军

《中文信息学报》

2013

一种融合实体语义知识的实体集合扩展方法

齐振宇,刘康,赵军

《中文信息学报》

2013

Attribute Relation Extraction from Template-inconsistent Semi-structured Text by Leveraging Site-level Knowledge

Yang Liu, Fang Liu, Si-Wei Lai, Kang Liu, Guang-You Zhou, Jun Zhao

International Joint Conference on Natural Language Processing

2013

The CASIA Entity linking System at TAC 2013

Yubo Chen, Guang-You Zhou, Li-Heng Xu, Shi-Zhu He, Kang Liu, Jun Zhao

Text Analysis Conference

2013

A Weakly Supervised Bayesian Model for Violence Detection in Social Media

A. Cano, Yulan He, Kang Liu, Jun Zhao

International Joint Conference on Natural Language Processing

2013

Walk and learn: a two-stage approach for opinion words and opinion targets co-extraction

Li-Heng Xu, Kang Liu, Si-Wei Lai, Yubo Chen, Jun Zhao

The Web Conference

2013

Improving Question Retrieval in Community Question Answering Using World Knowledge

Guang-You Zhou, Yang Liu, Fang Liu, Dao-Jian Zeng, Jun Zhao

International Joint Conference on Artificial Intelligence

2013

Opinion Target Extraction Using Partially-Supervised Word Alignment Model

Kang Liu, H. Xu, Yang Liu, Jun Zhao

International Joint Conference on Artificial Intelligence

2012

基于多特征表示的本体概念挂载

徐立恒,刘洋,来斯惟,刘康,田野,王渝丽,赵军

《中文信息学报》

2011

开放式文本信息抽取

赵军,刘康,周光有,蔡黎

《中文信息学报》

2011

少数民族汉语考试的作文辅助评分系统研究

蔡黎,彭星源,赵军

《中文信息学报》

2009

命名实体识别、排歧和跨语言关联

赵军

《中文信息学报》

2009

基于Wikipedia的语义元数据生成

韩先培,赵军

《中文信息学报》

2008

基于层叠CRFs模型的句子褒贬度分析研究

刘康,赵军

《中文信息学报》

2008

基于布局特征与语言特征的网页主要内容块发现

韩先培,刘康,赵军

《中文信息学报》

2008

The Building of a CBD-Based Domain Ontology in Chinese

Zhi-Fang Sui, Jun Zhao, W. Kang, Qingliang Zhao

2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology

2007

基于主题语言模型的句子检索算法

吴友政,赵军,徐波

《计算机研究与发展》

2007

Ungreedy Methods for Chinese Deterministic Dependency Parsing

Xiangyu Duan, Jun Zhao, Bo Xu

AAAI Conference on Artificial Intelligence

2007

Word Sense Disambiguation through Sememe Labeling

Xiangyu Duan, Jun Zhao, Bo Xu

International Joint Conference on Artificial Intelligence

2006

面向商务信息抽取的产品命名实体识别研究

刘非凡,赵军,吕碧波,徐波,于浩,夏迎炬

《中文信息学报》

2006

基于相关文档池建模的查询扩展

吕碧波,赵军

《中文信息学报》

2005

问答式检索技术及评测研究综述

吴友政,赵军,段湘煜,徐波

《中文信息学报》

2005

面向文本检索的语义计算

赵军,金千里,徐波

《计算机学报》

2004

面向口语翻译的双语语块自动识别

程葳,赵军,刘非凡,徐波

《计算机学报》

2003

汉英双语语料库中名词短语的自动对应

刘冬明,赵军,杨尔弘

《中文信息学报》

2003

一种面向汉英口语翻译的双语语块处理方法

程葳,赵军,徐波,刘非凡

《中文信息学报》

2001

统计句法分析建模中基于信息论的特征类型分析

穗志方,赵军,俞士汶

《计算机学报》

1999

汉语基本名词短语结构分析模型

赵军,黄昌宁

《计算机学报》

1999

基于转换的汉语基本名词短语识别模型

赵军,黄昌宁

《中文信息学报》

1998

基于例子的基本名词短语识别中词语分布相似度的研究

赵军,黄昌宁

《模式识别与人工智能》

会议论文

2003

大规模非限定领域汉英双语语料库建设及句子对齐研究

刘非凡,赵军,徐波

《语言计算与基于内容的文本处理——全国第七届计算语言学联合学术会议论文集》

预印本

2025

Reasoning-Table: Exploring Reinforcement Learning for Table Reasoning

Fangyu Lei, Meng, Jinxiang, Yiming Huang, Tinghong Chen, Zhang, Yun, Shizhu He, Jun Zhao, Kang Liu

arXiv (Cornell University)

2024

Awakening Augmented Generation: Learning to Awaken Internal Knowledge of Large Language Models for Question Answering

Huanxuan Liao, Shizhu He, Yao Xu, Yuanzhe Zhang, Kang Liu, Shengping Liu, Jun Zhao

arXiv (Cornell University)

2024

$\textit{SKIntern}$: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language Models

Huanxuan Liao, Shizhu He, Hao, Yupu, Xiang Li, Yuanzhe Zhang, Jun Zhao, Liu, Kang

arXiv (Cornell University)

2024

ControlLM: Crafting Diverse Personalities for Language Models

Yixuan Weng, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao

arXiv (Cornell University)

2023

TableQAKit: A Comprehensive and Practical Toolkit for Table-based Question Answering

Fangyu Lei, Tongxu Luo, Pengqi Yang, Weihao Liu, Hanwen Liu, Jiahe Lei, Yiming Huang, Yifan Wei, Shizhu He, Jun Zhao, Kang Liu

arXiv (Cornell University)

2023

LMTuner: An user-friendly and highly-integrable Training Framework for fine-tuning Large Language Models

Yixuan Weng, Zhiqi Wang, Huanxuan Liao, Shizhu He, Shengping Liu, Kang Liu, Jun Zhao

arXiv (Cornell University)

2023

Large Language Models Need Holistically Thought in Medical Conversational QA

Yixuan Weng, Bin Li, Fei Xia, Minjun Zhu, Bin Sun, Shizhu He, Kang Liu, Jun Zhao

arXiv (Cornell University)

2023

Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks

Yixuan Weng, Minjun Zhu, Fei Xia, Bin Li, Shizhu He, Kang Liu, Jun Zhao

arXiv (Cornell University)

2022

Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder

Fangyu Lei, Shizhu He, Xiang Li, Jun Zhao, Kang Liu

arXiv (Cornell University)

2022

LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs

Fei Xia, Bin Li, Yixuan Weng, Shizhu He, Kang Liu, Bin Sun, Shutao Li A, Jun Zhao

arXiv (Cornell University)

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