Papers
5,479 papers found
From Chaos to Clarity: A Knowledge Graph-Driven Audit Dataset Generation Framework for LLM Unlearning
Weipeng Jiang, Juan Zhai, Shiqing Ma et al.
EduGuardBench: A Holistic Benchmark for Evaluating the Pedagogical Fidelity and Adversarial Safety of LLMs as Simulated Teachers
Yilin Jiang, Mingzi Zhang, Xuanyu Yin et al.
Difficulty Is Not Enough: Curriculum Learning for LLMs Fine-tuning Must Consider Utility
Zishang Jiang, Jinyi Han, Tingyun Li et al.
Rethinking the Sampling Criteria in Reinforcement Learning for LLM Reasoning: A Competence-Difficulty Alignment Perspective
Deyang Kong, Qi Guo, Xiangyu Xi et al.
Template-Theorems Graph Construction to Enhance Mathematical Reasoning Capabilities of LLM
Yarong Lan, Yajing Xu, Huajun Chen
Do Not Merge My Model! Safeguarding Open-Source LLMs Against Unauthorized Model Merging
Qinfeng Li, Miao Pan, Jintao Chen et al.
OSVBench: Benchmarking LLMs on Specification Generation Tasks for Operating System Verification
Shangyu Li, Juyong Jiang, Tiancheng Zhao et al.
CoFact: Dynamic Coordination of Attention Heads for Improving Factual Consistency in LLMs
Shike Li, Xiaokai Wang, Xiaofeng Liu et al.
Jupiter: Enhancing LLM Data Analysis Capabilities via Notebook and Inference-Time Value-Guided Search
Shuocheng Li, Yihao Liu, Silin Du et al.
Semantic Volume: Quantifying and Detecting Both External and Internal Uncertainty in LLMs
Xiaomin Li, Zhou Yu, Ziji Zhang et al.
Selection of LLM Fine-Tuning Data Based on Orthogonal Rules
Xiaomin Li, Mingye Gao, Zhiwei Zhang et al.
LoopLLM: Transferable Energy-Latency Attacks in LLMs via Repetitive Generation
Xingyu Li, Xiaolei Liu, Cheng Liu et al.
Do LLMs Feel? Teaching Emotion Recognition with Prompts, Retrieval, and Curriculum Learning
Xinran Li, Yu Liu, Jiaqi Qiao et al.
AgentSwift: Efficient LLM Agent Design via Value-Guided Hierarchical Search
Yu Li, Lehui Li, Zhihao Wu et al.
GrayKD: Distilling Better Knowledge from Black-box LLM via Multi-rationale Injection
Hyeongsoo Lim, Hyung Yong Kim, Jin Young Kim et al.
Hidden in the Noise: Unveiling Backdoors in Audio LLMs Alignment Through Latent Acoustic Pattern Triggers
Liang Lin, Miao Yu, Kaiwen Luo et al.
Format as a Prior: Quantifying and Analyzing Bias in LLMs for Heterogeneous Data
Jiacheng Liu, Mayi Xu, Qiankun Pi et al.
Easy for Children, Hard for AI: The Limits of Multimodal LLMs in Early Childhood Learning
Jingping Liu, Xueyan Wu, Hanxuan Chen et al.
ARBench: Algorithmic Reasoner or API Alchemist? Evaluating LLMs Beyond API Calls
Ren-Biao Liu, Chao-Zeng Ma, Anqi Li et al.
LLM Collaboration with Multi-Agent Reinforcement Learning
Shuo Liu, Zeyu Liang, Xueguang Lyu et al.
LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs
Xiaoran Liu, Yuerong Song, Zhigeng Liu et al.
HEV Generative Sandbox: A Framework for Assessing Domain-Specific Social Risks Through Human-LLM Simulation
Yiran Liu, Zhiyi Hou, Xiaoang Xu et al.
SlimInfer: Accelerating Long-Context LLM Inference via Dynamic Token Pruning
Lingkun Long, Rubing Yang, Yushi Huang et al.
QueryAligner: Customizing User Query to Match LLMs Preferences for Better Intent Recognition
Yunlong Ma, Bo Wang, Yihong Tang et al.
A Multi-Agent LLM Framework for Multi-Domain Low-Resource In-Context NER via Knowledge Retrieval, Disambiguation and Reflective Analysis
Wenxuan Mu, Jinzhong Ning, Di Zhao et al.