Hongning Wang
- Papers
- 34
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Authored papers
34GLM-5: from Vibe Coding to Agentic Engineering
arXiv 2026
IF-RewardBench: Benchmarking Judge Models for Instruction-Following Evaluation
arXiv 2026
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
arXiv 2025
Parametric Retrieval Augmented Generation
arXiv 2025
Guiding not Forcing: Enhancing the Transferability of Jailbreaking Attacks on LLMs via Removing Superfluous Constraints
arXiv 2025
SocialEval: Evaluating Social Intelligence of Large Language Models
arXiv 2025
Crisp: Cognitive Restructuring of Negative Thoughts through Multi-turn Supportive Dialogues
arXiv 2025
Be Careful When Fine-tuning On Open-Source LLMs: Your Fine-tuning Data Could Be Secretly Stolen!
arXiv 2025
Evaluating Intelligence via Trial and Error
arXiv 2025
VPO: Aligning Text-to-Video Generation Models with Prompt Optimization
ICCV 2025
Data-Efficient RLVR via Off-Policy Influence Guidance
arXiv 2025
Trust-Region Adaptive Policy Optimization
arXiv 2025
BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMs
arXiv 2025
LongSafety: Evaluating Long-Context Safety of Large Language Models
arXiv 2025
How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study
arXiv 2025
Human Decision-making is Susceptible to AI-driven Manipulation
arXiv 2025
ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
arXiv 2024
ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors
arXiv 2024
Benchmarking Complex Instruction-Following with Multiple Constraints Composition
arXiv 2024
Agent-SafetyBench: Evaluating the Safety of LLM Agents
arXiv 2024
Towards Efficient Exact Optimization of Language Model Alignment
arXiv 2024
SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models
arXiv 2024
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models
arXiv 2024
AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback
arXiv 2024
From Theft to Bomb-Making: The Ripple Effect of Unlearning in Defending Against Jailbreak Attacks
arXiv 2024
LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models
arXiv 2024
CharacterBench: Benchmarking Character Customization of Large Language Models
arXiv 2024
Knowledge-to-Jailbreak: Investigating Knowledge-driven Jailbreaking Attacks for Large Language Models
arXiv 2024
Unlocking Reasoning Potential in Large Langauge Models by Scaling Code-form Planning
arXiv 2024
AlignBench: Benchmarking Chinese Alignment of Large Language Models
arXiv 2023
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training
arXiv 2023
CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation
arXiv 2023
Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization
arXiv 2023
Rethinking Conversational Recommendations: Is Decision Tree All You Need?
arXiv 2022
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