梁鹤｜大连海事大学｜学者主页

2026

A Tale of Two Variances: When Single-Seed Benchmarks Fail in Bayesian Deep Learning

Qishi Zhan, Minxuan Hu, Liang He, Guansu Wang, Jiaxin Liu

arXiv preprint

2026

Relative Repairability: A Calibration-Based Diagnostic for High-Sparsity Post-Pruning Allocation

Qishi Zhan, Liang He, Minxuan Hu, Ziheng Chen

arXiv preprint

2026

Not All Errors Are Equal: Consequence-Aware Reasoning Compute Allocation

Liang He, Jingbo Wen, Haoyu Wang, Ziqi He, Yixiong Chen, Kangning Cui, Xilu Wang

arXiv preprint

2026

You Cannot Pick a Provider From the Price List: Market-Aware Routing for Open-Weight LLM Inference

Liang He, Jingbo Wen, Yixiong Chen, Yue Yang, Qizhen Lan, Kangning Cui, Xilu Wang

arXiv preprint

2026

Beyond Correctness: Compute-Responsive Data Selection for Reasoning Model Post-Training

Liang He, Xiangyu Li, Yuxin Wang, Hanbin Zhang, Mingyu Cao, Zhaomiao Guo, Xilu Wang

arXiv preprint

2026

Disentangling Language Roles in Multilingual LLM Task Execution

Qishi Zhan, Minxuan Hu, Seoyeon Jang, Lei Zhao, Ziheng Chen, Man Liang, Xinyue Xiang, Jiaxin Liu, Guansu Wang, Liang He

arXiv preprint

2026

From Relevance to Execution Utility: Reward-Aware Dynamic Execution Gating for Skill-Based LLM Agents

Liang He, Jingbo Wen, Hongyu Gu, Hao Li, Haoyu Wang, Yixiong Chen, Kangning Cui, Xilu Wang

arXiv preprint

2026

Not All Visual Tokens Are Equally Safe to Remove:Consequence-Sensitive Visual Token Compression

Jingbo Wen, Liang He, Mingyu Cao, Haoyu Wang, Minxuan Hu, Kangning Cui, Xilu Wang

arXiv preprint

2026

How Sparsity Allocation Shapes Label-Free Post-Pruning Recoverability

Qishi Zhan, Minxuan Hu, Liang He

arXiv preprint

2026

Unstable Rankings in Bayesian Deep Learning Evaluation

Qishi Zhan, Minxuan Hu, Guansu Wang, Jiaxin Liu, Liang He

arXiv preprint

2026

BudgetDraft: Acceptance-Aware Multi-View Training for Sparse-KV Speculative Decoding

Liang He, Jingbo Wen, Qishi Zhan, Yixiong Chen, Kangning Cui, Qizhen Lan, Xilu Wang

arXiv preprint

2026

AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution

Yutao Yang, Junsong Li, Qianjun Pan, Bihao Zhan, Yuxuan Cai, Lin Du, Jie Zhou, Kai Chen, Qin Chen, Xin Li, Bo Zhang, Liang He

arXiv preprint

2026

Contextual Multi-Objective Optimization: Rethinking Objectives in Frontier AI Systems

Jie Zhou, Qin Chen, Liang He

arXiv preprint

2026

Can Heterogeneous Language Models Be Fused?

Shilian Chen, Jie Zhou, Qin Chen, Wen Wu, Xin Li, Qi Feng, Liang He

arXiv preprint

2026

DARWIN: Evolving Jailbreak Adversary and Guardrail for LLM Safety Evaluation and Protection

Weiwei Qi, Zefeng Wu, Zhilin Guo, Tianhang Zheng, Chaochao Lu, Liang He, Zhan Qin, Kui Ren

arXiv preprint

2026

ReproBench: Benchmarking LLM Agents on Reproducing Vulnerability From Scratch

Liang He, Sheng Wu, Haomiao Hao, Hongduo Zhao, Jia Yan, Purui Su

arXiv preprint

2026

FlowRAG: Synergizing Explicit Reasoning via Frequency-Aware Multi-Granularity Graph Flow

Bihao Zhan, Zongsheng Cao, Jie Zhou, Bo Zhang, Liang He

arXiv preprint

2026

Caring Without Feeling: Affective Dynamics as the Control Layer of Human-AI Agent Collaboration

Junjie Xu, Xingjiao Wu, Zihao Zhang, Yujia Xu, Yuzhe Yang, Jin Zhu, Luwei Xiao, Wen Wu, Liang He

arXiv preprint

2026

Mimic Human Cognition, Master Multi-Image Reasoning: A Meta-Action Framework for Enhanced Visual Understanding

Jianghao Yin, Qingbin Li, Kun Sun, Cheng Ding, Jie Wang, Qin Chen, Jie Zhou, Nan Wang, Changqing Li, Pei Wu, Jian Xu, Zheming Yang, Liang He

arXiv preprint

2026

AutoMem: A Text-Gradient Recursive Self-Improvement Framework for Automated Memory Architectures Search

Lin Du, Jie Zhou, Yuxuan Cai, Kai Chen, Qin Chen, Xin Li, Bo Zhang, Wei Li, Liang He

arXiv preprint

2026

NexForge: Scaling Agent Capabilities through Requirement-Driven Task Synthesis for LLMs

Jiarong Zhao, Zhikai Lei, Zhiheng Xi, Rui Zheng, Hang Yan, Jie Zhou, Qin Chen, Liang He

arXiv preprint

2026

BioMatrix: Towards a Comprehensive Biological Foundation Model Spanning the Modality Matrix of Sequences, Structures, and Language

Qizhi Pei, Zhimeng Zhou, Yi Duan, Yiyang Zhao, Wei Li, Han Guo, Liang He, Chengping Li, Chang-Yu Hsieh, Conghui He, Rui Yan, Lijun Wu

arXiv preprint

2026

Ask Only When Needed: Proactive Retrieval from Memory and Skills for Experience-Driven Lifelong Agents

Yuxuan Cai, Wei Li, Jie Zhou, Qin Chen, Xin Li, Bo Zhang, Liang He

arXiv preprint

2026

Dynamic Multimodal Activation Steering for Hallucination Mitigation in Large Vision-Language Models

Jianghao Yin, Qin Chen, Kedi Chen, Jie Zhou, Xingjiao Wu, Liang He

arXiv preprint

2026

PRMB: Benchmarking Reward Models in Long-Horizon CBT-based Counseling Dialogue

Yougen Zhou, Qin Chen, Ningning Zhou, Jie Zhou, Liang He

arXiv preprint

2026

From Prediction to Justification: Aligning Sentiment Reasoning with Human Rationale via Reinforcement Learning

Shihao Zhang, Ziwei Wang, Jie Zhou, Yulan Wu, Qin Chen, Zhikai Lei, Liyang Yu, Liang Dou, Liang He

arXiv preprint

2026

Behavior Pack Optimization for Video MLLM Post-Training

Zhaolu Kang, Shiyu Liu, Tailong Luo, Wei Zhang, Yingjie He, Lei Wei, Guansu Wang, Liang He, Siheng Wang, Guangyuan Dong, Jiaqi Su, Shuang Chen, Haoyu Ji, Qishi Zhan, Kaiyue Zhou

arXiv preprint

2026

SkillGym: Internalizing Human Skills into LLMs for Real-World Problem Solving

Zhilong Ge, Yuting Shao, Yutao Yang, Yuxuan Cai, Jie Zhou, Kai Chen, Bo Zhang, Qin Chen, Liang He

arXiv preprint

2026

TRACE: Task-Aware Adaptive Self-Evolving Agentic Jailbreaking

Churui Zeng, Kedong Xiu, Weiwei Qi, Yuqi Hao, Chaochao Lu, Liang He, Zhan Qin, Tianhang Zheng

arXiv preprint

2026

TextualRL: Textual Reinforcement Learning for Context Management

Tianyu Huai, Jie Zhou, Bo Mao, Qin Chen, Liang He, Xipeng Qiu

arXiv preprint

2026

PyraMathBench: Evaluating and Improving Mathematical Capability in Large Language Models

Zetian Ouyang, Linlin Wang, Gerard de Melo, Liang He

arXiv preprint

2026

MemPro: Agentic Memory Systems as Evolvable Programs

Qingshan Liu, Guoqing Wang, Wen Wu, Jingqi Huang, Xinqi Tao, Dejia Song, Jie Zhou, Liang He

arXiv preprint

2026

FED-Bench: A Cross-Granular Benchmark for Disentangled Evaluation of Facial Expression Editing

Fengjian Xue, Xuecheng Wu, Heli Sun, Yunyun Shi, Shi Chen, Liangyu Fu, Jinheng Xie, Dingkang Yang, Hao Wang, Junxiao Xue, Liang He

arXiv preprint

2026

DeepTumorVQA: A Hierarchical 3D CT Benchmark for Stage-Wise Evaluation of Medical VLMs and Tool-Augmented Agents

Yixiong Chen, Wenjie Xiao, Pedro R. A. S. Bassi, Boyan Wang, Liang He, Xinze Zhou, Sezgin Er, Ibrahim Ethem Hamamci, Zongwei Zhou, Alan Yuille

arXiv preprint

2026

PsychEval: A Multi-Session and Multi-Therapy Benchmark for High-Realism AI Psychological Counselor

Qianjun Pan, Junyi Wang, Jie Zhou, Yutao Yang, Junsong Li, Kaiyin Xu, Yougen Zhou, Yihan Li, Jingyuan Zhao, Qin Chen, Ningning Zhou, Kai Chen, Liang He

arXiv preprint

2026

Bridging the 2D-3D Gap: A Hierarchical Semantic-Geometric Map for Vision Language Navigation

Kailing Li, Tianwen Qian, Lijin Yang, Yuqian Fu, Jingyu Gong, Xiaoling Wang, Liang He

arXiv preprint

2026

WEFT: Scaling Tool-Use Post-Training for General-Purpose Agents

Bo Mao, Hang He, Linting Wang, Lizhi Lin, Maosen Zhou, Guanming Liu, Jinxiu Liu, Tianyu Huai, Chaoyun Zhang, Bingxuan Li, Kepeng Lei, Guanting Dong, Zhou Shao, Rui Zheng, Hang Yan, Jie Zhou, Chengcheng Wan, Tao Gui, Liang He, Xipeng Qiu

arXiv preprint

2026

MLExpert: Towards a Generalist Agentic Model for Autonomous Machine Learning Engineering

Shangheng Du, Jinxin Shi, Shuaiyu Zhang, Yiming Wu, Junpeng Zhao, Shiyang Feng, Xin Li, Liang He, Xiangchao Yan, Bo Zhang

arXiv preprint

2025

Rethinking Relation Extraction: Beyond Shortcuts to Generalization with a Debiased Benchmark

Liang He, Yougang Chu, Zhen Wu, Jianbing Zhang, Xinyu Dai, Jiajun Chen

arXiv preprint

2025

Aesthetic Matters in Music Perception for Image Stylization: A Emotion-driven Music-to-Visual Manipulation

Junjie Xu, Xingjiao Wu, Tanren Yao, Zihao Zhang, Jiayang Bei, Wu Wen, Liang He

arXiv preprint

2025

LLM-KT: Aligning Large Language Models with Knowledge Tracing using a Plug-and-Play Instruction

Ziwei Wang, Jie Zhou, Qin Chen, Min Zhang, Bo Jiang, Aimin Zhou, Qinchun Bai, Liang He

arXiv preprint

2025

Building Self-Evolving Agents via Experience-Driven Lifelong Learning: A Framework and Benchmark

Yuxuan Cai, Yipeng Hao, Jie Zhou, Hang Yan, Zhikai Lei, Rui Zhen, Zhenhua Han, Yutao Yang, Junsong Li, Qianjun Pan, Tianyu Huai, Qin Chen, Xin Li, Kai Chen, Bo Zhang, Xipeng Qiu, Liang He

arXiv preprint

2025

A Survey on the Optimization of Large Language Model-based Agents

Shangheng Du, Jiabao Zhao, Jinxin Shi, Zhentao Xie, Xin Jiang, Yanhong Bai, Liang He

arXiv preprint

DOI

2025

Protein-SE(3): Benchmarking SE(3)-based Generative Models for Protein Structure Design

Lang Yu, Zhangyang Gao, Cheng Tan, Qin Chen, Jie Zhou, Liang He

arXiv preprint

2025

DiaCBT: A Long-Periodic Dialogue Corpus Guided by Cognitive Conceptualization Diagram for CBT-based Psychological Counseling

Yougen Zhou, Ningning Zhou, Qin Chen, Jie Zhou, Aimin Zhou, Liang He

arXiv preprint

2025

Nature Language Model: Deciphering the Language of Nature for Scientific Discovery

Yingce Xia, Peiran Jin, Shufang Xie, Liang He, Chuan Cao, Renqian Luo, Guoqing Liu, Yue Wang, Zequn Liu, Yuan-Jyue Chen, Zekun Guo, Yeqi Bai, Pan Deng, Yaosen Min, Ziheng Lu, Hongxia Hao, Han Yang, Jielan Li, Chang Liu, Jia Zhang, Jianwei Zhu, Ran Bi, Kehan Wu, Wei Zhang, Kaiyuan Gao, Qizhi Pei, Qian Wang, Xixian Liu, Yanting Li, Houtian Zhu, Yeqing Lu, Mingqian Ma, Zun Wang, Tian Xie, Krzysztof Maziarz, Marwin Segler, Zhao Yang, Zilong Chen, Yu Shi, Shuxin Zheng, Lijun Wu, Chen Hu, Peggy Dai, Tie-Yan Liu, Haiguang Liu, Tao Qin

arXiv preprint

2025

Mitigating Strategy Preference Bias in Emotional Support Conversation via Uncertainty Estimations

Yougen Zhou, Qin Chen, Ningning Zhou, Jie Zhou, Xingjiao Wu, Liang He

arXiv preprint

2025

Nex-N1: Agentic Models Trained via a Unified Ecosystem for Large-Scale Environment Construction

Nex-AGI Team, :, Yuxuan Cai, Lu Chen, Qiaoling Chen, Yuyang Ding, Liwen Fan, Wenjie Fu, Yufei Gao, Honglin Guo, Pinxue Guo, Zhenhua Han, Zhengfu He, Hanglei Hu, Kai Hu, Shengjia Hua, Tianyu Huai, Baodai Huang, Li Ji, Zhen Jiang, Zhikai Lei, Bufan Li, Jiahang Lin, Lizhi Lin, Jinxiu Liu, Shichun Liu, Ziming Liu, Yuchen Ni, Pengfang Qian, Yujiong Shen, Qingyun Shi, Wentao Shu, Peng Sun, Yiran Suo, Tian Tang, Boyu Tian, Guoteng Wang, Junzhe Wang, Peixin Wang, Zhiheng Xi, Hang Yan, Jie Yang, Zhixiong Yang, Tianchu Yao, Guangze Ye, Qianxi Yu, Shuo Zhang, Xinyue Zhang, Yiqi Zhang, Jiarong Zhao, Miao Zheng, Rui Zheng, Enyu Zhou, Jiazheng Zhou, Maosen Zhou, Yuhao Zhou, Tao Gui, Yining Zheng, Xinchi Chen, Jie Zhou, Siyuan Feng, Qin Chen, Liang He, Qi Zhang, Xuanjing Huang, Xipeng Qiu

arXiv preprint

2025

Unified Defense for Large Language Models against Jailbreak and Fine-Tuning Attacks in Education

Xin Yi, Yue Li, Dongsheng Shi, Linlin Wang, Xiaoling Wang, Liang He

arXiv preprint

2025

Characterizing LLM-Empowered Personalized Story-Reading and Interaction for Children: Insights from Multi-Stakeholder Perspectives

Jiaju Chen, Minglong Tang, Yuxuan Lu, Bingsheng Yao, Elissa Fan, Xiaojuan Ma, Ying Xu, Dakuo Wang, Yuling Sun, Liang He

arXiv preprint

DOI

2025

Task-Core Memory Management and Consolidation for Long-term Continual Learning

Tianyu Huai, Jie Zhou, Yuxuan Cai, Qin Chen, Wen Wu, Xingjiao Wu, Xipeng Qiu, Liang He

arXiv preprint

2025

AutoMedEval: Harnessing Language Models for Automatic Medical Capability Evaluation

Xiechi Zhang, Zetian Ouyang, Linlin Wang, Gerard de Melo, Zhu Cao, Xiaoling Wang, Ya Zhang, Yanfeng Wang, Liang He

arXiv preprint

2025

Code-driven Number Sequence Calculation: Enhancing the inductive Reasoning Abilities of Large Language Models

Kedi Chen, Zhikai Lei, Xu Guo, Xuecheng Wu, Siyuan Zeng, Jianghao Yin, Yinqi Zhang, Qin Chen, Jie Zhou, Liang He, Qipeng Guo, Kai Chen, Wei Zhang

arXiv preprint

2025

Tri-Select: A Multi-Stage Visual Data Selection Framework for Mobile Visual Crowdsensing

Jiayu Zhang, Kaixing Zhao, Tianhao Shao, Bin Guo, Liang He

arXiv preprint

2025

VS-Singer: Vision-Guided Stereo Singing Voice Synthesis with Consistency Schrödinger Bridge

Zijing Zhao, Kai Wang, Hao Huang, Ying Hu, Liang He, Jichen Yang

arXiv preprint

2025

Large Language Models have Chain-of-Affect

Junjie Xu, Xingjiao Wu, Luwei Xiao, Yuzhe Yang, Jie Zhou, Zihao Zhang, Luhan Wang, Yi Huang, Nan Wu, Yingbin Zheng, Chao Yan, Cheng Jin, Honglin Li, Liang He

arXiv preprint

2025

DualResearch: Entropy-Gated Dual-Graph Retrieval for Answer Reconstruction

Jinxin Shi, Zongsheng Cao, Runmin Ma, Yusong Hu, Jie Zhou, Xin Li, Lei Bai, Liang He, Bo Zhang

arXiv preprint

2025

A Survey of Inductive Reasoning for Large Language Models

Kedi Chen, Dezhao Ruan, Yuhao Dan, Yaoting Wang, Siyu Yan, Xuecheng Wu, Yinqi Zhang, Qin Chen, Jie Zhou, Liang He, Biqing Qi, Linyang Li, Qipeng Guo, Xiaoming Shi, Wei Zhang

arXiv preprint

2025

LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference Optimization

Junsong Li, Jie Zhou, Bihao Zhan, Yutao Yang, Qianjun Pan, Shilian Chen, Tianyu Huai, Xin Li, Qin Chen, Liang He

arXiv preprint

2025

A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law

Qianjun Pan, Wenkai Ji, Yuyang Ding, Junsong Li, Shilian Chen, Junyi Wang, Jie Zhou, Qin Chen, Min Zhang, Yulan Wu, Liang He

arXiv preprint

2025

Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection

Kedi Chen, Qin Chen, Jie Zhou, Xinqi Tao, Bowen Ding, Jingwen Xie, Mingchen Xie, Peilong Li, Feng Zheng, Liang He

arXiv preprint

2025

Reinforced Interactive Continual Learning via Real-time Noisy Human Feedback

Yutao Yang, Jie Zhou, Junsong Li, Qianjun Pan, Bihao Zhan, Qin Chen, Xipeng Qiu, Liang He

arXiv preprint

2025

CovDocker: Benchmarking Covalent Drug Design with Tasks, Datasets, and Solutions

Yangzhe Peng, Kaiyuan Gao, Liang He, Yuheng Cong, Haiguang Liu, Kun He, Lijun Wu

arXiv preprint

DOI

2025

LCMF: Lightweight Cross-Modality Mambaformer for Embodied Robotics VQA

Zeyi Kang, Liang He, Yanxin Zhang, Zuheng Ming, Kaixing Zhao

arXiv preprint

2025

Exploring Cognitive and Aesthetic Causality for Multimodal Aspect-Based Sentiment Analysis

Luwei Xiao, Rui Mao, Shuai Zhao, Qika Lin, Yanhao Jia, Liang He, Erik Cambria

arXiv preprint

2025

CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering

Tianyu Huai, Jie Zhou, Xingjiao Wu, Qin Chen, Qingchun Bai, Ze Zhou, Liang He

arXiv preprint

2025

Disentangled Modeling of Preferences and Social Influence for Group Recommendation

Guangze Ye, Wen Wu, Guoqing Wang, Xi Chen, Hong Zheng, Liang He

arXiv preprint

DOI

2025

Code-Driven Inductive Synthesis: Enhancing Reasoning Abilities of Large Language Models with Sequences

Kedi Chen, Zhikai Lei, Fan Zhang, Yinqi Zhang, Qin Chen, Jie Zhou, Liang He, Qipeng Guo, Kai Chen, Wei Zhang

arXiv preprint

2024

SFM-Protein: Integrative Co-evolutionary Pre-training for Advanced Protein Sequence Representation

Liang He, Peiran Jin, Yaosen Min, Shufang Xie, Lijun Wu, Tao Qin, Xiaozhuan Liang, Kaiyuan Gao, Yuliang Jiang, Tie-Yan Liu

arXiv preprint

2024

Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check

Linhao Ye, Zhikai Lei, Jianghao Yin, Qin Chen, Jie Zhou, Liang He

arXiv preprint

2024

Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis

Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He

arXiv preprint

2024

BDIQA: A New Dataset for Video Question Answering to Explore Cognitive Reasoning through Theory of Mind

Yuanyuan Mao, Xin Lin, Qin Ni, Liang He

arXiv preprint

2024

A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder

Kedi Chen, Jie Zhou, Qin Chen, Shunyu Liu, Liang He

arXiv preprint

2024

A safety realignment framework via subspace-oriented model fusion for large language models

Xin Yi, Shunfan Zheng, Linlin Wang, Xiaoling Wang, Liang He

arXiv preprint

2024

Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis

Xuanwen Ding, Jie Zhou, Liang Dou, Qin Chen, Yuanbin Wu, Chengcai Chen, Liang He

arXiv preprint

2024

Multi-Type Preference Learning: Empowering Preference-Based Reinforcement Learning with Equal Preferences

Ziang Liu, Junjie Xu, Xingjiao Wu, Jing Yang, Liang He

arXiv preprint

2024

TEAdapter: Supply abundant guidance for controllable text-to-music generation

Jialing Zou, Jiahao Mei, Xudong Nan, Jinghua Li, Daoguo Dong, Liang He

arXiv preprint

2024

One Small and One Large for Document-level Event Argument Extraction

Jiaren Peng, Hongda Sun, Wenzhong Yang, Fuyuan Wei, Liang He, Liejun Wang

arXiv preprint

2024

CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal Models

Wentao Liu, Qianjun Pan, Yi Zhang, Zhuo Liu, Ji Wu, Jie Zhou, Aimin Zhou, Qin Chen, Bo Jiang, Liang He

arXiv preprint

2024

Recent Advances of Foundation Language Models-based Continual Learning: A Survey

Yutao Yang, Jie Zhou, Xuanwen Ding, Tianyu Huai, Shunyu Liu, Qin Chen, Yuan Xie, Liang He

arXiv preprint

2024

Human Simulacra: Benchmarking the Personification of Large Language Models

Qiuejie Xie, Qiming Feng, Tianqi Zhang, Qingqiu Li, Linyi Yang, Yuejie Zhang, Rui Feng, Liang He, Shang Gao, Yue Zhang

arXiv preprint

2024

FairMonitor: A Dual-framework for Detecting Stereotypes and Biases in Large Language Models

Yanhong Bai, Jiabao Zhao, Jinxin Shi, Zhentao Xie, Xingjiao Wu, Liang He

arXiv preprint

2024

A Survey of Explainable Knowledge Tracing

Yanhong Bai, Jiabao Zhao, Tingjiang Wei, Qing Cai, Liang He

arXiv preprint

2024

MixRED: A Mix-lingual Relation Extraction Dataset

Lingxing Kong, Yougang Chu, Zheng Ma, Jianbing Zhang, Liang He, Jiajun Chen

arXiv preprint

2024

CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical Scenarios

Zetian Ouyang, Yishuai Qiu, Linlin Wang, Gerard de Melo, Ya Zhang, Yanfeng Wang, Liang He

arXiv preprint

2024

C-LLM: Learn to Check Chinese Spelling Errors Character by Character

Kunting Li, Yong Hu, Liang He, Fandong Meng, Jie Zhou

arXiv preprint

2024

Boosting Large Language Models with Socratic Method for Conversational Mathematics Teaching

Yuyang Ding, Hanglei Hu, Jie Zhou, Qin Chen, Bo Jiang, Liang He

arXiv preprint

2024

Fine-Grained Detoxification via Instance-Level Prefixes for Large Language Models

Xin Yi, Linlin Wang, Xiaoling Wang, Liang He

arXiv preprint

2024

Let's Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models

Shunyu Liu, Jie Zhou, Qunxi Zhu, Qin Chen, Qingchun Bai, Jun Xiao, Liang He

arXiv preprint

2024

DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models

Kedi Chen, Qin Chen, Jie Zhou, Yishen He, Liang He

arXiv preprint

2024

P-React: Synthesizing Topic-Adaptive Reactions of Personality Traits via Mixture of Specialized LoRA Experts

Yuhao Dan, Jie Zhou, Qin Chen, Junfeng Tian, Liang He

arXiv preprint

2024

NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning

Xin Yi, Shunfan Zheng, Linlin Wang, Gerard de Melo, Xiaoling Wang, Liang He

arXiv preprint

2024

Exploring Parent's Needs for Children-Centered AI to Support Preschoolers' Interactive Storytelling and Reading Activities

Yuling Sun, Jiaju Chen, Bingsheng Yao, Jiali Liu, Dakuo Wang, Xiaojuan Ma, Yuxuan Lu, Ying Xu, Liang He

arXiv preprint

2024

Moyun: A Diffusion-Based Model for Style-Specific Chinese Calligraphy Generation

Kaiyuan Liu, Jiahao Mei, Hengyu Zhang, Yihuai Zhang, Daoguo Dong, Liang He

arXiv preprint

2023

MORE: A Multimodal Object-Entity Relation Extraction Dataset with a Benchmark Evaluation

Liang He, Hongke Wang, Yongchang Cao, Zhen Wu, Jianbing Zhang, Xinyu Dai

arXiv preprint

DOI

2023

Make BERT-based Chinese Spelling Check Model Enhanced by Layerwise Attention and Gaussian Mixture Model

Yongchang Cao, Liang He, Zhen Wu, Xinyu Dai

arXiv preprint

DOI

2023

DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds

Tao Ma, Xuemeng Yang, Hongbin Zhou, Xin Li, Botian Shi, Junjie Liu, Yuchen Yang, Zhizheng Liu, Liang He, Yu Qiao, Yikang Li, Hongsheng Li

arXiv preprint

2023

Metacognition-Enhanced Few-Shot Prompting With Positive Reinforcement

Yu Ji, Wen Wu, Yi Hu, Hong Zheng, Liang He

arXiv preprint

2023

Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations

Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He

arXiv preprint

2023

DCQA: Document-Level Chart Question Answering towards Complex Reasoning and Common-Sense Understanding

Anran Wu, Luwei Xiao, Xingjiao Wu, Shuwen Yang, Junjie Xu, Zisong Zhuang, Nian Xie, Cheng Jin, Liang He

arXiv preprint

2023

EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education

Yuhao Dan, Zhikai Lei, Yiyang Gu, Yong Li, Jianghao Yin, Jiaju Lin, Linhao Ye, Zhiyan Tie, Yougen Zhou, Yilei Wang, Aimin Zhou, Ze Zhou, Qin Chen, Jie Zhou, Liang He, Xipeng Qiu

arXiv preprint

2023

Progressive Evidence Refinement for Open-domain Multimodal Retrieval Question Answering

Shuwen Yang, Anran Wu, Xingjiao Wu, Luwei Xiao, Tianlong Ma, Cheng Jin, Liang He

arXiv preprint

2023

MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA

Lang Yu, Qin Chen, Jie Zhou, Liang He

arXiv preprint

2023

Towards Knowledge-driven Autonomous Driving

Xin Li, Yeqi Bai, Pinlong Cai, Licheng Wen, Daocheng Fu, Bo Zhang, Xuemeng Yang, Xinyu Cai, Tao Ma, Jianfei Guo, Xing Gao, Min Dou, Yikang Li, Botian Shi, Yong Liu, Liang He, Yu Qiao

arXiv preprint

2023

3D Multiple Object Tracking on Autonomous Driving: A Literature Review

Peng Zhang, Xin Li, Liang He, Xin Lin

arXiv preprint

2023

DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Licheng Wen, Daocheng Fu, Xin Li, Xinyu Cai, Tao Ma, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yu Qiao

arXiv preprint

2023

Is ChatGPT a Good Personality Recognizer? A Preliminary Study

Yu Ji, Wen Wu, Hong Zheng, Yi Hu, Xi Chen, Liang He

arXiv preprint

2023

UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model

Jiabo Ye, Anwen Hu, Haiyang Xu, Qinghao Ye, Ming Yan, Guohai Xu, Chenliang Li, Junfeng Tian, Qi Qian, Ji Zhang, Qin Jin, Liang He, Xin Alex Lin, Fei Huang

arXiv preprint

2023

Towards Emotion Analysis in Short-form Videos: A Large-Scale Dataset and Baseline

Xuecheng Wu, Heli Sun, Junxiao Xue, Jiayu Nie, Xiangyan Kong, Ruofan Zhai, Liang He

arXiv preprint

2023

Evaluating the Performance of Large Language Models on GAOKAO Benchmark

Xiaotian Zhang, Chunyang Li, Yi Zong, Zhengyu Ying, Liang He, Xipeng Qiu, Tianxiang Sun, Peng Li, Shiqiao Meng, Yanjun Zheng, Jun Zhan, Zhangyue Yin, Xiannian Hu, Guofeng Quan, Qixiang Wang

arXiv preprint

2023

UMAAF: Unveiling Aesthetics via Multifarious Attributes of Images

Weijie Li, Yitian Wan, Xingjiao Wu, Junjie Xu, Cheng Jin, Liang He

arXiv preprint

2023

Eval-GCSC: A New Metric for Evaluating ChatGPT's Performance in Chinese Spelling Correction

Kunting Li, Yong Hu, Shaolei Wang, Hanhan Ma, Liang He, Fandong Meng, Jie Zhou

arXiv preprint

2023

Towards Better Chain-of-Thought Prompting Strategies: A Survey

Zihan Yu, Liang He, Zhen Wu, Xinyu Dai, Jiajun Chen

arXiv preprint

2023

A Review on Machine Theory of Mind

Yuanyuan Mao, Shuang Liu, Pengshuai Zhao, Qin Ni, Xin Lin, Liang He

arXiv preprint

2023

A Personality-Guided Preference Aggregator for Ephemeral Group Recommendation

Guangze Ye, Wen Wu, Liye Shi, Wenxin Hu, Xin Chen, Liang He

arXiv preprint

DOI

2023

MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models

Yan Cai, Linlin Wang, Ye Wang, Gerard de Melo, Ya Zhang, Yanfeng Wang, Liang He

arXiv preprint

2022

A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis

Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He

arXiv preprint

2022

Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection

Xin Li, Botian Shi, Yuenan Hou, Xingjiao Wu, Tianlong Ma, Yikang Li, Liang He

arXiv preprint

2022

A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck

Jie Zhou, Qi Zhang, Qin Chen, Liang He, Xuanjing Huang

arXiv preprint

2022

Graph Neural Networks with Motif-aware for Tenuous Subgraph Finding

Heli sun, Miaomiao Sun, Liang He, Xiaolin Jia

arXiv preprint

2022

Self-Attentive Sequential Recommendation with Cheap Causal Convolutions

Jiayi Chen, Wen Wu, Liye Shi, Yu Ji, Wenxin Hu, Xi Chen, Wei Zheng, Liang He

arXiv preprint

2022

DACSR: Decoupled-Aggregated End-to-End Calibrated Sequential Recommendation

Jiayi Chen, Wen Wu, Liye Shi, Yu Ji, Wenxin Hu, Wei Zheng, Liang He

arXiv preprint

DOI

2022

An Information Minimization Based Contrastive Learning Model for Unsupervised Sentence Embeddings Learning

Shaobin Chen, Jie Zhou, Yuling Sun, Liang He

arXiv preprint

2022

CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction

Jiaju Lin, Qin Chen, Jie Zhou, Jian Jin, Liang He

arXiv preprint

2022

Incorporating Pre-training Paradigm for Antibody Sequence-Structure Co-design

Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu

arXiv preprint

2022

Enhancing Event-Level Sentiment Analysis with Structured Arguments

Qi Zhang, Jie Zhou, Qin Chen, Qinchun Bai, Liang He

arXiv preprint

DOI

2022

Shifting More Attention to Visual Backbone: Query-modulated Refinement Networks for End-to-End Visual Grounding

Jiabo Ye, Junfeng Tian, Ming Yan, Xiaoshan Yang, Xuwu Wang, Ji Zhang, Liang He, Xin Lin

arXiv preprint

2021

Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model

Liang He, Shizhuo Zhang, Lijun Wu, Huanhuan Xia, Fusong Ju, He Zhang, Siyuan Liu, Yingce Xia, Jianwei Zhu, Pan Deng, Bin Shao, Tao Qin, Tie-Yan Liu

arXiv preprint

2021

Document Layout Analysis via Dynamic Residual Feature Fusion

Xingjiao Wu, Ziling Hu, Xiangcheng Du, Jing Yang, Liang He

arXiv preprint

DOI

2021

A Survey of Human-in-the-loop for Machine Learning

Xingjiao Wu, Luwei Xiao, Yixuan Sun, Junhang Zhang, Tianlong Ma, Liang He

arXiv preprint

DOI

2021

Long-Tail Session-based Recommendation from Calibration

Jiayi Chen, Wen Wu, Wei Zheng, Liang He

arXiv preprint

DOI

2021

Improved Drug-target Interaction Prediction with Intermolecular Graph Transformer

Siyuan Liu, Yusong Wang, Tong Wang, Yifan Deng, Liang He, Bin Shao, Jian Yin, Nanning Zheng, Tie-Yan Liu

arXiv preprint

2021

Inferring Substitutable and Complementary Products with Knowledge-Aware Path Reasoning based on Dynamic Policy Network

Zijing Yang, Jiabo Ye, Linlin Wang, Xin Lin, Liang He

arXiv preprint

2020

Prompt Agnostic Essay Scorer: A Domain Generalization Approach to Cross-prompt Automated Essay Scoring

Robert Ridley, Liang He, Xinyu Dai, Shujian Huang, Jiajun Chen

arXiv preprint

2020

ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation

Qian Zhao, Siyu Tao, Jie Zhou, Linlin Wang, Xin Lin, Liang He

arXiv preprint

2020

A Real-Time Deep Network for Crowd Counting

Xiaowen Shi, Xin Li, Caili Wu, Shuchen Kong, Jing Yang, Liang He

arXiv preprint

2020

SEEK: Segmented Embedding of Knowledge Graphs

Wentao Xu, Shun Zheng, Liang He, Bin Shao, Jian Yin, Tie-Yan Liu

arXiv preprint

2019

Multi-Scale Time-Frequency Attention for Acoustic Event Detection

Jingyang Zhang, Wenhao Ding, Jintao Kang, Liang He

arXiv preprint

2019

Edge-Aware Deep Image Deblurring

Zhichao Fu, Tianlong Ma, Yingbin Zheng, Hao Ye, Jing Yang, Liang He

arXiv preprint

2019

Fast Video Crowd Counting with a Temporal Aware Network

Xingjiao Wu, Baohan Xu, Yingbin Zheng, Hao Ye, Jing Yang, Liang He

arXiv preprint

DOI

2019

Adaptive Multi-scale Detection of Acoustic Events

Wenhao Ding, Liang He

arXiv preprint

2019

Cascaded Detail-Preserving Networks for Super-Resolution of Document Images

Zhichao Fu, Yu Kong, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He

arXiv preprint

2019

Scene Text Recognition with Temporal Convolutional Encoder

Xiangcheng Du, Tianlong Ma, Yingbin Zheng, Hao Ye, Xingjiao Wu, Liang He

arXiv preprint

2018

Precise Temporal Action Localization by Evolving Temporal Proposals

Haonan Qiu, Yingbin Zheng, Hao Ye, Yao Lu, Feng Wang, Liang He

arXiv preprint

DOI

2018

Adaptive Scenario Discovery for Crowd Counting

Xingjiao Wu, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He

arXiv preprint

精选作品

期刊论文

Investor sentiment and bank liquidity risk: Theory and evidence

Effect of particle size on the explosion properties and flame evolution of Aluminum/n-heptane nanofluid fuels

Peer Effects of Bank Digital Transformation Through Shareholder Networks

Attenuation characteristics of hydrogen-air deflagration wave passing through inert gas section under non-premixed conditions

Explosion pressure and flame evolution of n-heptane aerosol in a 16.2 L cubic chamber at different equivalence ratios under low pressure

Effects of methane addition on ammonia flame heat release characteristics

Cross-domain document layout analysis using document style guide

Experimental study on the impact of airflow velocity and pipeline diameter on dust explosions in vessel-pipeline pneumatic conveying

Effect of hydrogen blending on ammonia/air explosion characteristics under wide equivalence ratio

Explosion characteristics and reaction mechanism of nano-aluminum/methanol fuel spray in a square closed vessel

Evolution of ammonia/air premixed flame and explosion pressure in a square closed duct: Effects of equivalence ratio and initial pressure

Effects of nano-aluminum particle size on the explosion behaviors of aluminum/methanol nanofluid fuel spray

Effect of airflow velocity in vessel-pipelines on dust explosion during pneumatic conveying

Flame propagation mechanism of methanol fuel spray explosion in a square closed vessel

Flame evolution and pressure dynamics of premixed stoichiometric ammonia/hydrogen/air in a closed duct

Effect of airflow velocity on flame propagation and pressure of starch dust explosion in a pneumatic conveying environment

The differences in quenching characteristics of H2/Air deflagration and detonation propagation in the T-shape pipeline

Measuring banks' liquidity risk: An option-pricing approach

The seed of a crisis: Investor sentiment and bank liquidity

Study on the effect of equivalence ratio and wall temperature on the quenching limit of hydrogen flame in crimped-ribbon flame arrester

Mechanism of influence of water mist in a closed vessel on the explosion overpressure and flame propagation characteristics of magnesium dust

Propagation characteristics and destructive mechanisms of detonation in bifurcated tubes

会议论文

船舶资产综合评估体系研究

预印本

A Tale of Two Variances: When Single-Seed Benchmarks Fail in Bayesian Deep Learning

Relative Repairability: A Calibration-Based Diagnostic for High-Sparsity Post-Pruning Allocation

Not All Errors Are Equal: Consequence-Aware Reasoning Compute Allocation

You Cannot Pick a Provider From the Price List: Market-Aware Routing for Open-Weight LLM Inference

Beyond Correctness: Compute-Responsive Data Selection for Reasoning Model Post-Training

Disentangling Language Roles in Multilingual LLM Task Execution

From Relevance to Execution Utility: Reward-Aware Dynamic Execution Gating for Skill-Based LLM Agents

Not All Visual Tokens Are Equally Safe to Remove:Consequence-Sensitive Visual Token Compression

How Sparsity Allocation Shapes Label-Free Post-Pruning Recoverability

Unstable Rankings in Bayesian Deep Learning Evaluation

BudgetDraft: Acceptance-Aware Multi-View Training for Sparse-KV Speculative Decoding

AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution

Contextual Multi-Objective Optimization: Rethinking Objectives in Frontier AI Systems

Can Heterogeneous Language Models Be Fused?

DARWIN: Evolving Jailbreak Adversary and Guardrail for LLM Safety Evaluation and Protection

ReproBench: Benchmarking LLM Agents on Reproducing Vulnerability From Scratch

FlowRAG: Synergizing Explicit Reasoning via Frequency-Aware Multi-Granularity Graph Flow

Caring Without Feeling: Affective Dynamics as the Control Layer of Human-AI Agent Collaboration

Mimic Human Cognition, Master Multi-Image Reasoning: A Meta-Action Framework for Enhanced Visual Understanding

AutoMem: A Text-Gradient Recursive Self-Improvement Framework for Automated Memory Architectures Search

NexForge: Scaling Agent Capabilities through Requirement-Driven Task Synthesis for LLMs

BioMatrix: Towards a Comprehensive Biological Foundation Model Spanning the Modality Matrix of Sequences, Structures, and Language

Ask Only When Needed: Proactive Retrieval from Memory and Skills for Experience-Driven Lifelong Agents

Dynamic Multimodal Activation Steering for Hallucination Mitigation in Large Vision-Language Models

PRMB: Benchmarking Reward Models in Long-Horizon CBT-based Counseling Dialogue

From Prediction to Justification: Aligning Sentiment Reasoning with Human Rationale via Reinforcement Learning

Behavior Pack Optimization for Video MLLM Post-Training

SkillGym: Internalizing Human Skills into LLMs for Real-World Problem Solving

TRACE: Task-Aware Adaptive Self-Evolving Agentic Jailbreaking

TextualRL: Textual Reinforcement Learning for Context Management

PyraMathBench: Evaluating and Improving Mathematical Capability in Large Language Models

MemPro: Agentic Memory Systems as Evolvable Programs

FED-Bench: A Cross-Granular Benchmark for Disentangled Evaluation of Facial Expression Editing

DeepTumorVQA: A Hierarchical 3D CT Benchmark for Stage-Wise Evaluation of Medical VLMs and Tool-Augmented Agents

PsychEval: A Multi-Session and Multi-Therapy Benchmark for High-Realism AI Psychological Counselor

Bridging the 2D-3D Gap: A Hierarchical Semantic-Geometric Map for Vision Language Navigation

WEFT: Scaling Tool-Use Post-Training for General-Purpose Agents

MLExpert: Towards a Generalist Agentic Model for Autonomous Machine Learning Engineering

Rethinking Relation Extraction: Beyond Shortcuts to Generalization with a Debiased Benchmark

Aesthetic Matters in Music Perception for Image Stylization: A Emotion-driven Music-to-Visual Manipulation

LLM-KT: Aligning Large Language Models with Knowledge Tracing using a Plug-and-Play Instruction

Building Self-Evolving Agents via Experience-Driven Lifelong Learning: A Framework and Benchmark

A Survey on the Optimization of Large Language Model-based Agents

Protein-SE(3): Benchmarking SE(3)-based Generative Models for Protein Structure Design

DiaCBT: A Long-Periodic Dialogue Corpus Guided by Cognitive Conceptualization Diagram for CBT-based Psychological Counseling

Nature Language Model: Deciphering the Language of Nature for Scientific Discovery

Mitigating Strategy Preference Bias in Emotional Support Conversation via Uncertainty Estimations

Nex-N1: Agentic Models Trained via a Unified Ecosystem for Large-Scale Environment Construction

Unified Defense for Large Language Models against Jailbreak and Fine-Tuning Attacks in Education

Characterizing LLM-Empowered Personalized Story-Reading and Interaction for Children: Insights from Multi-Stakeholder Perspectives

Task-Core Memory Management and Consolidation for Long-term Continual Learning

AutoMedEval: Harnessing Language Models for Automatic Medical Capability Evaluation

Code-driven Number Sequence Calculation: Enhancing the inductive Reasoning Abilities of Large Language Models