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Hongning Wang

  1. GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
    2025/08/08 by Team, GLM-4. 5 Team, 5 Team +357 · 21 voices · 133 citations
    Computer Science · #Cognitive Computing and Networks #Distributed and Parallel Computing Systems #Rough Sets and Fuzzy Logic #cs.CL
  2. ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
    2024/06/18 by Team GLM, GLM, Team, Aohan Zeng +111 · 282 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Topic Modeling
  3. GLM-5: from Vibe Coding to Agentic Engineering
    2026/02/17 by GLM-5-Team, :, Aohan Zeng +184 · 4 voices · 30 citations
    #cs.LG #cs.CL
  4. Agent-SafetyBench: Evaluating the Safety of LLM Agents
    2024/12/19 by Zhexin Zhang, Zhang, Zhexin, Shiyao Cui +11 · 2 voices · 54 citations
    Computer Science · Engineering · #Safety Systems Engineering in Autonomy #cs.CL
  5. Black-Box Prompt Optimization: Aligning Large Language Models without Model Training
    2023/11/07 by Jiale Cheng, Xiao Liu, Cheng, Jiale +13 · 28 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques
  6. Benchmarking Complex Instruction-Following with Multiple Constraints Composition
    2024/07/04 by Bosi Wen, Wen, Bosi, Pei Ke +25 · 36 citations
    Computer Science · #Intelligent Tutoring Systems and Adaptive Learning
  7. Parametric Retrieval Augmented Generation
    2025/01/27 by Weihang Su, Yichen Tang, Su, Weihang +16 · 2 voices · 10 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Neural Networks and Applications #cs.CL #cs.IR
  8. Data Selection via Optimal Control for Language Models
    2024/10/09 by Yuxian Gu, Gu, Yuxian, Li Dong +11 · 16 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques
  9. Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?
    2023/06/13 by Yao Fan, Yao, Fan, Chuanhao Li +13 · 6 citations
    Decision Sciences · Social Sciences · #Auction Theory and Applications #Computer Science and Game Theory (cs.GT) #Experimental Behavioral Economics Studies #FOS: Computer and information sciences #Game Theory and Applications
  10. ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors
    2024/02/26 by Zhexin Zhang, Yida Lu, Zhang, Zhexin +19 · 8 citations
    Computer Science · Decision Sciences · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #Data Quality and Management #Digital and Cyber Forensics #FOS: Computer and information sciences
  11. Unlocking Reasoning Potential in Large Langauge Models by Scaling Code-form Planning
    2024/09/19 by Jiaxin Wen, Jian Guan, Wen, Jiaxin +7 · 11 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cellular Automata and Applications #Computation and Language (cs.CL) #DNA and Biological Computing #FOS: Computer and information sciences
  12. RecFlow: An Industrial Full Flow Recommendation Dataset
    2024/10/28 by Qi Liu, Kai Zheng, Liu, Qi +33 · 10 citations
    Computer Science · #Data Stream Mining Techniques #FOS: Computer and information sciences #Information Retrieval (cs.IR)
  13. Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems
    2024/05/08 by Kai Zheng, Haijun Zhao, Zheng, Kai +15 · 7 citations
    Computer Science · Engineering · #Advanced Data Processing Techniques #Embedded Systems Design Techniques #Experimental Learning in Engineering #FOS: Computer and information sciences #Information Retrieval (cs.IR)
  14. AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback
    2024/02/02 by Jian Guan, Guan, Jian, Wei Wu +9 · 6 citations
    Business, Management and Accounting · #Business Process Modeling and Analysis #Computation and Language (cs.CL) #FOS: Computer and information sciences
  15. Evaluating Intelligence via Trial and Error
    2025/02/26 by Jingtao Zhan, Jiahao Zhao, Zhan, Jingtao +17 · 2 voices · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #cs.AI #cs.CL #cs.CV #cs.IR #cs.LG
  16. User Welfare Optimization in Recommender Systems with Competing Content Creators
    2024/04/28 by Yao Fan, Yiming Liao, Yao, Fan +16 · 6 citations
    Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques
  17. Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits
    2021/10/04 by Chuanhao Li, Hongning Wang, Li, Chuanhao +1 · 3 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Optimization and Search Problems #Privacy-Preserving Technologies in Data
  18. Learning Neural Contextual Bandits Through Perturbed Rewards
    2022/01/24 by Yiling Jia, Jia, Yiling, Weitong Zhang +7 · 3 citations
    Decision Sciences · Physics and Astronomy · Computer Science · #Advanced Bandit Algorithms Research #Model Reduction and Neural Networks #Machine Learning and ELM
  19. Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict?
    2024/02/23 by Yao Fan, Fan Yao, Yao, Fan +8 · 1 voice · 4 citations
    Computer Science · Social Sciences · #Ethics and Social Impacts of AI #cs.GT #cs.HC
  20. SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models
    2024/12/16 by Jiale Cheng, Cheng, Jiale, Xiao Liu +17 · 8 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Intelligent Tutoring Systems and Adaptive Learning
  21. Learning from Crowds by Modeling Common Confusions
    2020/12/24 by Zhendong Chu, Jing Ma, Chu, Zhendong +3 · 2 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Music and Audio Processing
  22. Improve Temporal Awareness of LLMs for Sequential Recommendation
    2024/05/05 by Zhendong Chu, Zichao Wang, Chu, Zhendong +9 · 4 citations
    Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques #Semantic Web and Ontologies #Topic Modeling
  23. Be Careful When Fine-tuning On Open-Source LLMs: Your Fine-tuning Data Could Be Secretly Stolen!
    2025/05/21 by Zhexin Zhang, Yuhao Sun, Zhang, Zhexin +12 · 1 voice · 1 citation
    Computer Science · Decision Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Research Data Management Practices #Scientific Computing and Data Management #cs.CL
  24. The FacT: Taming Latent Factor Models for Explainability with Factorization Trees
    2019/06/03 by Yiyi Tao, Tao, Yiyi, Yiling Jia +5 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Recommender Systems and Techniques #Topic Modeling
  25. Unifying Clustered and Non-stationary Bandits
    2020/09/05 by Chuanhao Li, Li, Chuanhao, Qingyun Wu +3 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mobile Crowdsensing and Crowdsourcing
  26. Incentivizing Exploration in Linear Bandits under Information Gap
    2021/04/08 by Huazheng Wang, Haifeng Xu, Wang, Huazheng +7 · 1 citation
    Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #Auction Theory and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Smart Grid Energy Management
  27. Knowledge-to-Jailbreak: Investigating Knowledge-driven Jailbreaking Attacks for Large Language Models
    2024/06/17 by Shangqing Tu, Zhuoran Pan, Tu, Shangqing +15 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
  28. AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models
    2024/06/24 by Jiale Cheng, Cheng, Jiale, Yida Lu +15 · 2 citations
    Computer Science · #Topic Modeling
  29. Graph Structural Attack by Perturbing Spectral Distance
    2021/11/01 by Lu Lin, Ethan Blaser, Lin, Lu +3 · 1 citation
    Computer Science · #Advanced Graph Neural Networks
  30. ShieldVLM: Safeguarding the Multimodal Implicit Toxicity via Deliberative Reasoning with LVLMs
    2025/05/20 by Shiyao Cui, Cui, Shiyao, Qinglin Zhang +14 · 4 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimedia (cs.MM) #Natural Language Processing Techniques
  31. Meta Policy Learning for Cold-Start Conversational Recommendation
    2022/05/24 by Zhendong Chu, Hongning Wang, Chu, Zhendong +7 · 1 citation
    Computer Science · Decision Sciences · Psychology · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Emotion and Mood Recognition #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques
  32. HPSS: Heuristic Prompting Strategy Search for LLM Evaluators
    2025/02/18 by Bosi Wen, Wen, Bosi, Pei Ke +15 · 3 citations
    Business, Management and Accounting · Decision Sciences · #Big Data and Business Intelligence #Computation and Language (cs.CL) #Data Quality and Management #FOS: Computer and information sciences #Scientific Computing and Data Management
  33. LongSafety: Evaluating Long-Context Safety of Large Language Models
    2025/02/24 by Yida Lu, Lu, Yida, Jiale Cheng +16 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Topic Modeling
  34. MAPS: Advancing Multi-Modal Reasoning in Expert-Level Physical Science
    2025/01/18 by Erle Zhu, Zhu, Erle, Yadi Liu +13 · 2 citations
    Decision Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Scientific Computing and Data Management
  35. Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits
    2024/02/21 by Zhiwei Wang, Wang, Zhiwei, Huazheng Wang +3 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG)
  36. Learning Task Decomposition to Assist Humans in Competitive Programming
    2024/06/07 by Jiaxin Wen, Wen, Jiaxin, Ruiqi Zhong +9 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Programming Languages (cs.PL) #Reinforcement Learning in Robotics
  37. BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMs
    2025/05/18 by Junxiao Yang, Jiyuan Tu, Yang, Junxiao +20 · 2 citations
    Computer Science · Decision Sciences · #Natural Language Processing Techniques #Topic Modeling #Data Quality and Management
  38. AgentRL: Scaling Agentic Reinforcement Learning with a Multi-Turn, Multi-Task Framework
    2025/10/05 by Hanchen Zhang, Zhang, Hanchen, Xiao Liu +24 · 5 citations
    Computer Science · #Reinforcement Learning in Robotics
  39. Beyond Nash Equilibrium: Bounded Rationality of LLMs and humans in Strategic Decision-making
    2025/06/11 by Kehan Zheng, Zheng, Kehan, Zhou, Jinfeng +2 · 2 citations
    Social Sciences · Computer Science · #Language and cultural evolution #Experimental Behavioral Economics Studies #Explainable Artificial Intelligence (XAI)
  40. The User Asks, Platforms Compete: How Agentic Recommendation Markets Take Shape
    2026/07/28 by Deyao Hong, Kehan Zheng, Qian Li +3
    Computer Science · #cs.AI #cs.IR