王宏宁｜清华大学｜学者主页

精选作品

期刊论文

2026

How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study

Zhexin Zhang, Xian Qi Loye, Victor Shea-Jay Huang, Junxiao Yang, Qi Zhu, Shiyao Cui, Fei Mi, Lifeng Shang, Yingkang Wang, Hongning Wang, Minlie Huang

Annual Meeting of the Association for Computational Linguistics (ACL)

DOI

2026

Glyph: Scaling Context Windows via Visual-Text Compression

Jiale Cheng, Yusen Liu, Xinyu Zhang, Yulin Fei, Wenyi Hong, Ruiliang Lyu, Weihan Wang, Zhixun Su, Xiaotao Gu, Xiao Liu, Yushi Bai, Jie Tang, Hongning Wang, Minlie Huang

Annual Meeting of the Association for Computational Linguistics (ACL)

DOI

2026

IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation

Bosi Wen, Yilin Niu, Cunxiang Wang, Pei Ke, X. Ling, Ying Zhang, Aohan Zeng, Hongning Wang, Minlie Huang

Annual Meeting of the Association for Computational Linguistics (ACL)

DOI

2026

IF-RewardBench: Benchmarking Judge Models for Instruction-Following Evaluation

Association for Computational Linguistics 2026, Minlie Huang, Pei Ke, X. Ling, Yilin Niu, Hongning Wang, Cunxiang Wang, Bosi Wen, Ying Zhang

Underline Science Inc.

DOI

2026

HoWToBench: Holistic Evaluation for LLM's Capability in Human-level Writing using Tree of Writing

Association for Computational Linguistics 2026, Lin Fan, Xiaotao Gu, Minlie Huang, Yu Luo, Jie Tang, Cunxiang Wang, Hongning Wang, Zikangwang Wang, Irene Zhou, Andrew Zhuoer Feng

Underline Science Inc.

DOI

2026

How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study

Association for Computational Linguistics 2026, Shiyao Cui, Minlie Huang, Fei Mi, Xian Qi Loye, Lifeng Shang, Victor Shea-Jay Huang, Hongning Wang, Yingkang Wang, Junxiao Yang, Zhexin Zhang, Qi Zhu

Underline Science Inc.

DOI

2026

IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation

Association for Computational Linguistics 2026, Minlie Huang, Pei Ke, X. Ling, Yilin Niu, Hongning Wang, Cunxiang Wang, Bosi Wen, Aohan Zeng, Ying Zhang

Underline Science Inc.

DOI

2026

46 - When Smiley Turns Hostile: Interpreting How Emojis Trigger LLMs’ Toxicity

Association for Artificial Intelligence 2026, Shiyao Cui, Xijia Feng, Minlie Huang, Han Qiu, Biplab Sikdar, Hongning Wang, Yingkang Wang, Junxiao Yang, Zhexin Zhang

Underline Science Inc.

DOI

2026

When Smiley Turns Hostile: Interpreting How Emojis Trigger LLMs’ Toxicity

Association for Artificial Intelligence 2026, Shiyao Cui, Xijia Feng, Minlie Huang, Han Qiu, Biplab Sikdar, Hongning Wang, Yingkang Wang, Junxiao Yang, Zhexin Zhang

Underline Science Inc.

DOI

2025

JPS: Jailbreak Multimodal Large Language Models with Collaborative Visual Perturbation and Textual Steering

Renmiao Chen, Shiyao Cui, Xuancheng Huang, Chengwei Pan, Victor Shea-Jay Huang, Qinglin Zhang, Xuan Ouyang, Zhexin Zhang, Hongning Wang, Minlie Huang

ACM International Conference on Multimedia (ACM MM)

DOI

2025

ShieldVLM: Safeguarding the Multimodal Implicit Toxicity via Deliberative Reasoning with LVLMs: ShieldVLM

Shiyao Cui, Qinglin Zhang, Xuan Ouyang, Renmiao Chen, Zhexin Zhang, Yida Lu, Hongning Wang, Han Qiu, Minlie Huang

ACM International Conference on Multimedia (ACM MM)

DOI

2025

VPO: Aligning Text-to-Video Generation Models with Prompt Optimization

Jiale Cheng, Ruiliang Lyu, Xiaotao Gu, Xiao Liu, Jiazheng Xu, Yida Lu, Jiayan Teng, Zhuoyi Yang, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang

IEEE/CVF International Conference on Computer Vision (ICCV)

DOI

2025

Knowledge-to-Jailbreak: Investigating Knowledge-driven Jailbreaking Attacks for Large Language Models

Shangqing Tu, Zhuoran Pan, Wenxuan Wang, Zhexin Zhang, Yuliang Sun, Jifan Yu, Hongning Wang, Lei Hou, Juanzi Li

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2025

Parametric Retrieval Augmented Generation

Weihang Su, Yichen Tang, Qingyao Ai, Junxi Yan, Changyue Wang, Hongning Wang, Ziyi Ye, Yujia Zhou, Yiqun Liu

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2025

Decoupling Knowledge and Context: An Efficient and Effective Retrieval Augmented Generation Framework via Cross Attention

Qian Dong, Qingyao Ai, Hongning Wang, Yiding Liu, Haitao Li, Weihang Su, Yiqun Liu, Tat‐Seng Chua, Shaoping Ma

DOI

2025

SocialSim: Towards Socialized Simulation of Emotional Support Conversation

Zhuang Chen, Yaru Cao, Guanqun Bi, Jincenzi Wu, Jinfeng Zhou, Xiyao Xiao, Si Chen, Hongning Wang, Minlie Huang

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2025

CharacterBench: Benchmarking Character Customization of Large Language Models

Jinfeng Zhou, Yongkang Huang, Bosi Wen, Guanqun Bi, Yuxuan Chen, Pei Ke, Zhuang Chen, Xiyao Xiao, Libiao Peng, Kuntian Tang, Rongsheng Zhang, Le Zhang, Tangjie Lv, Zhipeng Hu, Hongning Wang, Minlie Huang

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2025

Tree-KG: An Expandable Knowledge Graph Construction Framework for Knowledge-intensive Domains

Songjie Niu, Kaisen Yang, Rui Zhao, Yichao Liu, Zonglin Li, Hongning Wang, Wenguang Chen

Annual Meeting of the Association for Computational Linguistics (ACL)

DOI

2025

HPSS: Heuristic Prompting Strategy Search for LLM Evaluators

Bosi Wen, Pei Ke, Yufei Sun, Cunxiang Wang, Xiaotao Gu, Jinfeng Zhou, Jie Tang, Hongning Wang, Minlie Huang

DOI

2025

LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models

Jiayi Gui, Y. Liu, Jiale Cheng, Xiaotao Gu, Xiao Liu, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang

DOI

2025

SelfRACG: Enabling LLMs to Self-Express and Retrieve for Code Generation

Qian Dong, Chen Jia, Qingyao Ai, Hongning Wang, Haitao Li, Yiwu, Yao Hu, Yiqun Liu, Shaoping Ma

Conference on Empirical Methods in Natural Language Processing (EMNLP)

DOI

2024

Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems

Kai Zheng, Haijun Zhao, Rui Huang, Beichuan Zhang, Na Mou, Yanan Niu, Yang Song, Hongning Wang, Kun Gai

ACM Web Conference (WWW)

DOI

2024

Retention Depolarization in Recommender System

Xiaoying Zhang, Hongning Wang, Yang Liu

ACM Web Conference (WWW)

DOI

2024

Black-Box Prompt Optimization: Aligning Large Language Models without Model Training

Jiale Cheng, Xiao Liu, Kehan Zheng, Pei Ke, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang

Annual Meeting of the Association for Computational Linguistics (ACL)

DOI

2024

CharacterGLM: Customizing Social Characters with Large Language Models

Jinfeng Zhou, Zhuang Chen, Dazhen Wan, Bosi Wen, Yi Song, Jifan Yu, Yongkang Huang, Pei Ke, Guanqun Bi, Libiao Peng, JiaMing Yang, Xiyao Xiao, Sahand Sabour, Xiaohan Zhang, Wenjing Hou, Yi-Jia Zhang, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang

Conference on Empirical Methods in Natural Language Processing: Industry Track (EMNLP)

DOI

2024

ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors

Zhexin Zhang, Yida Lu, Jingyuan Ma, Di Zhang, Rui Li, Pei Ke, Hao Sun, Lei Sha, Zhifang Sui, Hongning Wang, Minlie Huang

DOI

2024

Learning Task Decomposition to Assist Humans in Competitive Programming

Jiaxin Wen, Ruiqi Zhong, Pei Ke, Zhihong Shao, Hongning Wang, Minlie Huang

Annual Meeting of the Association for Computational Linguistics (ACL)

DOI

2023

Debiasing Recommendation by Learning Identifiable Latent Confounders

Qing Zhang, Xiaoying Zhang, Yang Liu, Hongning Wang, Min Gao, Jiheng Zhang, Ruocheng Guo

Knowledge Discovery and Data Mining

DOI

2023

Personalization and Recommendations in Search

Sudarshan Lamkhede, Anlei Dong, Moumita Bhattacharya, Hongning Wang

The Web Conference

DOI

2023

Incentivizing Exploration in Linear Contextual Bandits under Information Gap

Hua-Zheng Wang, Haifeng Xu, Chuanhao Li, Zhiyuan Liu, Hongning Wang

ACM Conference on Recommender Systems

DOI

2023

Disentangled Representation for Diversified Recommendations

Xiaoying Zhang, Hongning Wang, Hang Li

Web Search and Data Mining

DOI

2022

MiddleGAN: Generate Domain Agnostic Samples for Unsupervised Domain Adaptation

Ye Gao, Zhendong Chu, Hongning Wang, John A. Stankovic

arXiv.org

DOI

2022

COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation

Nan Wang, Shao-Liang Nie, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jing-Zhou Liu, Hamed Firooz, Hongning Wang

Conference on Empirical Methods in Natural Language Processing

DOI

2022

Not Just Skipping: Understanding the Effect of Sponsored Content on Users' Decision-Making in Online Health Search

Anat Hashavit, Hongning Wang, T. Stern, Sarit Kraus

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2022

Rethinking Conversational Recommendations: Is Decision Tree All You Need?

A. Haque, Hongning Wang

International Conference on Information and Knowledge Management

DOI

2022

Graph-based Extractive Explainer for Recommendations

Peng Wang, Peifeng Wang, Renqin Cai, Hongning Wang

The Web Conference

DOI

2022

Privacy Protection from GCN on a Per-Node Basis: Selective Learnability Lock (SLL)

E. Wei, Lu Lin, Hongning Wang

2022

Spectrum Guided Topology Augmentation for Graph Contrastive Learning

Lu Lin, Jinghui Chen, Hongning Wang

2022

Spectral Augmentation for Self-Supervised Learning on Graphs

Lu Lin, Jinghui Chen, Hongning Wang

International Conference on Learning Representations

DOI

2021

Interactive Information Retrieval with Bandit Feedback

Hua-Zheng Wang, Yiling Jia, Hongning Wang

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2021

PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer

Yiling Jia, Hua-Zheng Wang, Stephen Guo, Hongning Wang

The Web Conference

DOI

2021

Explanation as a Defense of Recommendation

Ao-Bo Yang, Nan Wang, Hong-Bo Deng, Hongning Wang

Web Search and Data Mining

DOI

2021

Reversible Action Design for Combinatorial Optimization with Reinforcement Learning

Fan Yao, Renqin Cai, Hongning Wang

arXiv.org

2021

Unbiased Graph Embedding with Biased Graph Observations

Nan Wang, Lu Lin, Jundong Li, Hongning Wang

The Web Conference

DOI

2021

Graph Embedding with Hierarchical Attentive Membership

Lu Lin, Ethan Blaser, Hongning Wang

Web Search and Data Mining

DOI

2021

Graph Structural Attack by Perturbing Spectral Distance

Lu Lin, Ethan Blaser, Hongning Wang

Knowledge Discovery and Data Mining

DOI

2020

Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction

Nan Wang, Zhen Qin, Xuanhui Wang, Hongning Wang

Web Search and Data Mining

DOI

2020

Learning from Crowds by Modeling Common Confusions

Zhendong Chu, Jing Ma, Hongning Wang

AAAI Conference on Artificial Intelligence

DOI

2020

A monitoring, modeling, and interactive recommendation system for in-home caregivers: demo abstract

Ye Gao, Mei-Yi Ma, Kristin D. Gordon, K. Rose, Hongning Wang, J. Stankovic

ACM International Conference on Embedded Networked Sensor Systems

DOI

2020

Déjà vu: A Contextualized Temporal Attention Mechanism for Sequential Recommendation

Jibang Wu, Renqin Cai, Hongning Wang

The Web Conference

DOI

2020

Directional Multivariate Ranking

Nan Wang, Hongning Wang

Knowledge Discovery and Data Mining

DOI

2020

Graph Attention Networks over Edge Content-Based Channels

Lu Lin, Hongning Wang

Knowledge Discovery and Data Mining

DOI

2020

Unbiased Learning to Rank via Propensity Ratio Scoring

Nan Wang, Xuanhui Wang, Hongning Wang

arXiv.org

2020

Unifying Clustered and Non-stationary Bandits

Chuanhao Li, Qingyun Wu, Hongning Wang

International Conference on Artificial Intelligence and Statistics

2020

Learning by Exploration: New Challenges in Real-World Environments

Qingyun Wu, Hua-Zheng Wang, Hongning Wang

Knowledge Discovery and Data Mining

DOI

2019

Dynamic Ensemble of Contextual Bandits to Satisfy Users' Changing Interests

Qingyun Wu, Hua-Zheng Wang, Ya-Nen Li, Hongning Wang

The Web Conference

DOI

2019

Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation

Xueying Bai, Jian Guan, Hongning Wang

arXiv.org

2019

Context Attentive Document Ranking and Query Suggestion

Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2019

Variance Reduction in Gradient Exploration for Online Learning to Rank

Hua-Zheng Wang, Sonwoo Kim, Eric McCord-Snook, Qingyun Wu, Hongning Wang

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2019

Adversarial Domain Adaptation for Machine Reading Comprehension

Hua-Zheng Wang, Zhe Gan, Xiaodong Liu, Jing-Jing Liu, Jianfeng Gao, Hongning Wang

Conference on Empirical Methods in Natural Language Processing

DOI

2019

Learning Personalized Topical Compositions with Item Response Theory

Lu Lin, Lin Gong, Hongning Wang

Web Search and Data Mining

DOI

2019

Factorization Bandits for Online Influence Maximization

Qingyun Wu, Zhi-Ge Li, Hua-Zheng Wang, Wei Chen, Hongning Wang

Knowledge Discovery and Data Mining

DOI

2019

The FacT: Taming Latent Factor Models for Explainability with Factorization Trees

Yiyi Tao, Yiling Jia, Nan Wang, Hongning Wang

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2019

BPMR: Bayesian Probabilistic Multivariate Ranking

Nan Wang, Hongning Wang

arXiv.org

2019

Accounting for Temporal Dynamics in Document Streams

Zhendong Chu, Renqin Cai, Hongning Wang

International Conference on Information and Knowledge Management

DOI

2019

JNET: Learning User Representations via Joint Network Embedding and Topic Embedding

Lin Gong, Lu Lin, Wei-Hao Song, Hongning Wang

Web Search and Data Mining

DOI

2018

Bandit Learning with Implicit Feedback

Yi Qi, Qingyun Wu, Hongning Wang, Jie Tang, Maosong Sun

Neural Information Processing Systems

2018

Multi-Task Learning for Document Ranking and Query Suggestion

Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang

International Conference on Learning Representations

2018

Intent-aware Query Obfuscation for Privacy Protection in Personalized Web Search

Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2018

Learning Contextual Bandits in a Non-stationary Environment

Qingyun Wu, Naveen Iyer, Hongning Wang

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2018

When Sentiment Analysis Meets Social Network: A Holistic User Behavior Modeling in Opinionated Data

Lin Gong, Hongning Wang

Knowledge Discovery and Data Mining

DOI

2018

Explainable Recommendation via Multi-Task Learning in Opinionated Text Data

Nan Wang, Hongning Wang, Yiling Jia, Yue Yin

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2018

Modeling Sequential Online Interactive Behaviors with Temporal Point Process

Renqin Cai, Xueying Bai, Zhenrui Wang, Yuling Shi, P. Sondhi, Hongning Wang

International Conference on Information and Knowledge Management

DOI

2018

Efficient Exploration of Gradient Space for Online Learning to Rank

Hua-Zheng Wang, R. Langley, Sonwoo Kim, Eric McCord-Snook, Hongning Wang

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2018

Hide-n-Seek: An Intent-aware Privacy Protection Plugin for Personalized Web Search

Pu-Xuan Yu, Wasi Uddin Ahmad, Hongning Wang

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2017

Clustered Model Adaption for Personalized Sentiment Analysis

Lin Gong, B. Haines, Hongning Wang

The Web Conference

DOI

2017

Generative Models for Sentiment Analysis and Opinion Mining

Hongning Wang, ChengXiang Zhai

DOI

2017

Extracting User-Reported Mobile Application Defects from Online Reviews

Yue Wang, Hongning Wang, Hui Fang

2017 IEEE International Conference on Data Mining Workshops (ICDMW)

DOI

2017

Factorization Bandits for Interactive Recommendation

Hua-Zheng Wang, Qingyun Wu, Hongning Wang

AAAI Conference on Artificial Intelligence

DOI

2017

Accounting for the Correspondence in Commented Data

Renqin Cai, Chi Wang, Hongning Wang

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2017

Search, Mining, and Their Applications on Mobile Devices

Hongning Wang, Rui Li, Milad Shokouhi, Hang Li, Yi Chang

ACM Trans. Inf. Syst.

DOI

2017

ReviewMiner: An Aspect-based Review Analytics System

Derek Wu, Hongning Wang

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2017

Returning is Believing: Optimizing Long-term User Engagement in Recommender Systems

Qingyun Wu, Hongning Wang, Liangjie Hong, Yue Shi

International Conference on Information and Knowledge Management

DOI

2016

Topic Model based Privacy Protection in Personalized Web Search

Wasi Uddin Ahmad, Md Masudur Rahman, Hongning Wang

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2016

Contextual Bandits in a Collaborative Environment

Qingyun Wu, Hua-Zheng Wang, Quanquan Gu, Hongning Wang

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2016

Integrating rich document representations for text classification

Suqi Jiang, Jason Lewris, Michael Voltmer, Hongning Wang

Systems and Information Engineering Design Symposium

DOI

2016

Learning Hidden Features for Contextual Bandits

Hua-Zheng Wang, Qingyun Wu, Hongning Wang

International Conference on Information and Knowledge Management

DOI

2016

Hidden Topic Sentiment Model

Md. Mustafizur Rahman, Hongning Wang

The Web Conference

DOI

2016

Modeling Social Norms Evolution for Personalized Sentiment Classification

Lin Gong, Mohammad Al Boni, Hongning Wang

Annual Meeting of the Association for Computational Linguistics

DOI

2016

DeepMeSH: deep semantic representation for improving large-scale MeSH indexing

Sheng-Wen Peng, Rong-Hui You, Hongning Wang, ChengXiang Zhai, Hiroshi Mamitsuka, Shanfeng Zhu

Bioinform.

DOI

2015

Opinions matter: a general approach to user profile modeling for contextual suggestion

Pei-Lin Yang, Hongning Wang, Hui Fang, Deng Cai

Information Retrieval Journal

DOI

2015

Model Adaptation for Personalized Opinion Analysis

Mohammad Al Boni, Keira Zhou, Hongning Wang, Matthew S. Gerber

Annual Meeting of the Association for Computational Linguistics

DOI

2014

Modeling action-level satisfaction for search task satisfaction prediction

Hongning Wang, Yang Song, Ming-Wei Chang, Xiao-Dong He, Ahmed E. Hassan, R. White

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2014

Computational user intent modeling

Hongning Wang

2014

Research Statement Non-human-generated Data Human-generated Data

Hongning Wang

2014

User modeling in search logs via a nonparametric bayesian approach

Hongning Wang, ChengXiang Zhai, Feng Liang, Anlei Dong, Yi Chang

Web Search and Data Mining

DOI

2014

Link Analysis

Hongning Wang

Encyclopedia of Social Network Analysis and Mining

DOI

2014

Adapting deep RankNet for personalized search

Yang Song, Hongning Wang, Xiao-Dong He

Web Search and Data Mining

DOI

2014

Exploring and inferring user–user pseudo‐friendship for sentiment analysis with heterogeneous networks

Hong-Bo Deng, Jiawei Han, Hao Li, Heng Ji, Hongning Wang, Yue Lu

Statistical analysis and data mining

DOI

2014

A two-dimensional click model for query auto-completion

Ya-Nen Li, Anlei Dong, Hongning Wang, Hong-Bo Deng, Yi Chang, ChengXiang Zhai

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2013

On the Detectability of Node Grouping in Networks

Chi Wang, Hongning Wang, Jia-Lu Liu, Ming Ji, Lu Su, Yu-Guo Chen, Jiawei Han

SDM

DOI

2013

Personalized ranking model adaptation for web search

Hongning Wang, Xiao-Dong He, Ming-Wei Chang, Yang Song, R. White, Wei Chu

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2013

Learning to rank from distant supervision: Exploiting noisy redundancy for relational entity search

Mian-Wei Zhou, Hongning Wang, Kevin Chen-Chuan Change

IEEE International Conference on Data Engineering

DOI

2013

Learning to extract cross-session search tasks

Hongning Wang, Yang Song, Ming-Wei Chang, Xiao-Dong He, R. White, Wei Chu

The Web Conference

DOI

2013

Content-aware click modeling

Hongning Wang, ChengXiang Zhai, Anlei Dong, Yi Chang

The Web Conference

DOI

2013

Exploring and exploiting user search behavior on mobile and tablet devices to improve search relevance

Yang Song, Hao Ma, Hongning Wang, Kuansan Wang

The Web Conference

DOI

2013

Enhancing personalized search by mining and modeling task behavior

R. White, Wei Chu, Ahmed E. Hassan, Xiao-Dong He, Yang Song, Hongning Wang

The Web Conference

DOI

2012

Joint relevance and freshness learning from clickthroughs for news search

Hongning Wang, Anlei Dong, Lihong Li, Yi Chang, E. Gabrilovich

The Web Conference

DOI

2012

Unsupervised discovery of opposing opinion networks from forum discussions

Yue Lu, Hongning Wang, ChengXiang Zhai, Dan Roth

International Conference on Information and Knowledge Management

DOI

2011

Learning online discussion structures by conditional random fields

Hongning Wang, Chi Wang, Cheng-Xiang Zhai, Jiawei Han

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2011

Structural Topic Model for Latent Topical Structure Analysis

Hongning Wang, Duo Zhang, ChengXiang Zhai

Annual Meeting of the Association for Computational Linguistics

2011

Latent aspect rating analysis without aspect keyword supervision

Hongning Wang, Yue Lu, ChengXiang Zhai

Knowledge Discovery and Data Mining

DOI

2010

Exploiting Structured Ontology to Organize Scattered Online Opinions

Yue Lu, Huizhong Duan, Hongning Wang, ChengXiang Zhai

International Conference on Computational Linguistics

2010

Latent aspect rating analysis on review text data: a rating regression approach

Hongning Wang, Yue Lu, ChengXiang Zhai

Knowledge Discovery and Data Mining

DOI

2009

Mining Product Reviews in a Comprehensive View

Hongning Wang, Xiao-Yan Zhu

2008

A Generative Probabilistic Model for Multi-label Classification

Hongning Wang, Minlie Huang, Xiao-Yan Zhu

2008 Eighth IEEE International Conference on Data Mining

DOI

2008

Mining physical protein-protein interactions from the literature

Minlie Huang, Shilin Ding, Hongning Wang, Xiaoyan Zhu

Genome biology

DOI

预印本

2026

MTAC-IFBench: Benchmarking Instruction-Following in Multi-Turn Agentic Coding

Bosi Wen, Cunxiang Wang, Jiayi Gui, Haoke Zhang, Yilin Niu, Pei Ke, Dayong Yang, Hongning Wang, Minlie Huang

arXiv (Cornell University)

DOI

2025

Exploring the Scaling Properties of RLHF on Data, Model, and Method

Zhenyu Hou, Pengfan Du, Yilin Niu, Zhengxiao Du, Aohan Zeng, Xiao Liu, Nan Xiong, Wei Liu, Minlie Huang, Hongning Wang, Jie Tang, Yuxiao Dong

SSRN Electronic Journal

DOI

2024

SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models

Jiale Cheng, Xiao Liu, Cunxiang Wang, Xiaotao Gu, Yida Lu, Dan Zhang, Yuxiao Dong, Tang, Jie, Hongning Wang, Minlie Huang

arXiv (Cornell University)

DOI

2024

Does RLHF Scale? Exploring the Impacts From Data, Model, and Method

Hou, Zhenyu, Pengfan Du, Yilin Niu, Zhengxiao Du, Aohan Zeng, Xiao Liu, Minlie Huang, Hongning Wang, Jie Tang, Yuxiao Dong

arXiv (Cornell University)

DOI

2024

RecFlow: An Industrial Full Flow Recommendation Dataset

Qi Liu, Zheng, Kai, Rui Huang, Weihua Li, Kuo Cai, Yi Chai, Yanan Niu, Hui, Yiqun, Bing Han, Na Mou, Hongning Wang, Wentian Bao, Yunen Yu, Guorui Zhou, Han Li, Yang Song, Defu Lian, Kun Gai

arXiv (Cornell University)

DOI

2024

Data Selection via Optimal Control for Language Models

Yuxian Gu, Li Dong, Hongning Wang, Yaru Hao, Qingxiu Dong, Furu Wei, Minlie Huang

arXiv (Cornell University)

DOI

2024

Unlocking Reasoning Potential in Large Langauge Models by Scaling Code-form Planning

Jiaxin Wen, Guan, Jian, Hongning Wang, Wei Wu, Minlie Huang

arXiv (Cornell University)

DOI

2024

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Team GLM, :, Aohan Zeng, Xu, Bin, Bowen Wang, Chenhui Zhang, Yin, Da, Zhang, Dan, Diego Rojas, Feng, Guanyu, Hanlin Zhao, Hanyu Lai, Hao Yu, Hongning Wang, Jiadai Sun, Jiajie Zhang, Jiale Cheng, Jiayi Gui, Tang, Jie, Jing Zhang, Sun, Jingyu, Juanzi Li, Zhao, Lei, Lindong Wu, Lucen Zhong, M. Liu, Minlie Huang, Peng Zhang, Qinkai Zheng, Lu, Rui, Shuaiqi Duan, Shudan Zhang, Shulin Cao, Shuxun Yang, Weng Lam Tam, Wenyi Zhao, Xiao Liu, Xia Xiao, Xiaohan Zhang, Xiaotao Gu, Lv, Xin, Xinghan Liu, Xinyi Liu, Xinyue Yang, Xixuan Song, Zhang, Xunkai, An, Yifan, Yifan Xu, Yilin Niu, Yuantao Yang, Yueyan Li, Yushi Bai, Yuxiao Dong, Zehan Qi, Zhaoyu Wang, Yang, Zhen, Zhengxiao Du, Hou, Zhenyu, Zihan Wang

arXiv (Cornell University)

DOI

2024

ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback

Zhenyu Hou, Niu, Yilin, Zhengxiao Du, Xiaohan Zhang, Xiao Liu, Aohan Zeng, Qinkai Zheng, Minlie Huang, Hongning Wang, Tang, Jie, Yuxiao Dong

arXiv (Cornell University)

DOI

2023

CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation

Pei Ke, Bosi Wen, Zhuoer Feng, Xiao Liu, Xuanyu Lei, Jiale Cheng, Shengyuan Wang, Aohan Zeng, Yuxiao Dong, Hongning Wang, Tang, Jie, Minlie Huang

arXiv (Cornell University)

DOI

2023

AlignBench: Benchmarking Chinese Alignment of Large Language Models

Xiao Liu, Xuanyu Lei, Shengyuan Wang, Yue Huang, Zhuoer Feng, Bosi Wen, Jiale Cheng, Pei Ke, Yifan Xu, Weng Lam Tam, Xiaohan Zhang, Lichao Sun, Gu, Xiaotao, Hongning Wang, Jing Zhang, Minlie Huang, Yuxiao Dong, Jie Tang

arXiv (Cornell University)

DOI

2023

Language Model Decoding as Direct Metrics Optimization

Haozhe Ji, Pei Ke, Hongning Wang, Minlie Huang

arXiv (Cornell University)

DOI

研究方向

机器学习信息检索数据挖掘

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