:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhou, Jinfeng, Chen, Zheyu, Wang, Shuai, Dai, Quanyu, Dong, Zhenhua, Wang, Hongning, Huang, Minlie
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2509.22546
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SocialEval: Evaluating Social Intelligence of Large Language Models
by: Zhou, Jinfeng, et al.
Published: (2025)

SocialSim: Towards Socialized Simulation of Emotional Support Conversation
by: Chen, Zhuang, et al.
Published: (2025)

Unlocking Reasoning Potential in Large Langauge Models by Scaling Code-form Planning
by: Wen, Jiaxin, et al.
Published: (2024)

Language Model Decoding as Direct Metrics Optimization
by: Ji, Haozhe, et al.
Published: (2023)

Crisp: Cognitive Restructuring of Negative Thoughts through Multi-turn Supportive Dialogues
by: Zhou, Jinfeng, et al.
Published: (2025)

Data Selection via Optimal Control for Language Models
by: Gu, Yuxian, et al.
Published: (2024)

HPSS: Heuristic Prompting Strategy Search for LLM Evaluators
by: Wen, Bosi, et al.
Published: (2025)

ShieldVLM: Safeguarding the Multimodal Implicit Toxicity via Deliberative Reasoning with LVLMs
by: Cui, Shiyao, et al.
Published: (2025)

Learning Task Decomposition to Assist Humans in Competitive Programming
by: Wen, Jiaxin, et al.
Published: (2024)

LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models
by: Gui, Jiayi, et al.
Published: (2024)

Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization
by: Zhang, Zhexin, et al.
Published: (2023)

AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback
by: Guan, Jian, et al.
Published: (2024)

Agent-SafetyBench: Evaluating the Safety of LLM Agents
by: Zhang, Zhexin, et al.
Published: (2024)

MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents
by: Tan, Haoran, et al.
Published: (2025)

RAVEL: Reasoning Agents for Validating and Evaluating LLM Text Synthesis
by: Feng, Andrew Zhuoer, et al.
Published: (2026)

RLAR: An Agentic Reward System for Multi-task Reinforcement Learning on Large Language Models
by: Feng, Andrew Zhuoer, et al.
Published: (2026)

Black-Box Prompt Optimization: Aligning Large Language Models without Model Training
by: Cheng, Jiale, et al.
Published: (2023)

Be Careful When Fine-tuning On Open-Source LLMs: Your Fine-tuning Data Could Be Secretly Stolen!
by: Zhang, Zhexin, et al.
Published: (2025)

Improving Retrospective Language Agents via Joint Policy Gradient Optimization
by: Feng, Xueyang, et al.
Published: (2025)

IF-RewardBench: Benchmarking Judge Models for Instruction-Following Evaluation
by: Wen, Bosi, et al.
Published: (2026)

KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge Tracing
by: Li, Rui, et al.
Published: (2025)

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge
by: Chen, Luyu, et al.
Published: (2025)

How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study
by: Zhang, Zhexin, et al.
Published: (2025)

Learn to Memorize: Optimizing LLM-based Agents with Adaptive Memory Framework
by: Zhang, Zeyu, et al.
Published: (2025)

Towards Efficient Exact Optimization of Language Model Alignment
by: Ji, Haozhe, et al.
Published: (2024)

HoWToBench: Holistic Evaluation for LLM's Capability in Human-level Writing using Tree of Writing
by: Feng, Andrew Zhuoer, et al.
Published: (2026)

IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation
by: Wen, Bosi, et al.
Published: (2025)

When Smiley Turns Hostile: Interpreting How Emojis Trigger LLMs' Toxicity
by: Cui, Shiyao, et al.
Published: (2025)

CharacterBench: Benchmarking Character Customization of Large Language Models
by: Zhou, Jinfeng, et al.
Published: (2024)

BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMs
by: Yang, Junxiao, et al.
Published: (2025)

LongSafety: Evaluating Long-Context Safety of Large Language Models
by: Lu, Yida, et al.
Published: (2025)

Benchmarking Complex Instruction-Following with Multiple Constraints Composition
by: Wen, Bosi, et al.
Published: (2024)

Grounding LLMs in Scientific Discovery via Embodied Actions
by: Zhang, Bo, et al.
Published: (2026)

AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models
by: Cheng, Jiale, et al.
Published: (2024)

Prompt and Parameter Co-Optimization for Large Language Models
by: Bo, Xiaohe, et al.
Published: (2025)

CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension
by: Li, Rui, et al.
Published: (2025)

Does RLHF Scale? Exploring the Impacts From Data, Model, and Method
by: Hou, Zhenyu, et al.
Published: (2024)

SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models
by: Cheng, Jiale, et al.
Published: (2024)

ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback
by: Hou, Zhenyu, et al.
Published: (2024)

From Theft to Bomb-Making: The Ripple Effect of Unlearning in Defending Against Jailbreak Attacks
by: Zhang, Zhexin, et al.
Published: (2024)