Papers
Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation?
Leyi Pan, Aiwei Liu, Shiyu Huang et al.
Code-Switching Red-Teaming: LLM Evaluation for Safety and Multilingual Understanding
Haneul Yoo, Yongjin Yang, Hwaran Lee
Unleashing LLM Reasoning Capability via Scalable Question Synthesis from Scratch
Yuyang Ding, Xinyu Shi, Xiaobo Liang et al.
SDBench: A Survey-based Domain-specific LLM Benchmarking and Optimization Framework
Cheng Guo, Hu Kai, Shuxian Liang et al.
ChainEdit: Propagating Ripple Effects in LLM Knowledge Editing through Logical Rule-Guided Chains
Zilu Dong, Xiangqing Shen, Zinong Yang et al.
Mimicking the Familiar: Dynamic Command Generation for Information Theft Attacks in LLM Tool-Learning System
Ziyou Jiang, Mingyang Li, Guowei Yang et al.
Innovative Image Fraud Detection with Cross-Sample Anomaly Analysis: The Power of LLMs
QiWen Wang, Junqi Yang, Zhenghao Lin et al.
Towards Multi-dimensional Evaluation of LLM Summarization across Domains and Languages
Hyangsuk Min, Yuho Lee, Minjeong Ban et al.
QDTSynth: Quality-Driven Formal Theorem Synthesis for Enhancing Proving Performance of LLMs
Lei Wang, Ruobing Zuo, Gaolei He et al.
Debiasing the Fine-Grained Classification Task in LLMs with Bias-Aware PEFT
Daiying Zhao, Xinyu Yang, Hang Chen
Continual Gradient Low-Rank Projection Fine-Tuning for LLMs
Chenxu Wang, Yilin Lyu, Zicheng Sun et al.
Towards Objective Fine-tuning: How LLMs’ Prior Knowledge Causes Potential Poor Calibration?
Ziming Wang, Zeyu Shi, Haoyi Zhou et al.
Two Intermediate Translations Are Better Than One: Fine-tuning LLMs for Document-level Translation Refinement
Yichen Dong, Xinglin Lyu, Junhui Li et al.
Can LLMs Ground when they (Don’t) Know: A Study on Direct and Loaded Political Questions
Clara Lachenmaier, Judith Sieker, Sina Zarrieß
Crab: A Novel Configurable Role-Playing LLM with Assessing Benchmark
Kai He, Yucheng Huang, Wenqing Wang et al.
EPO: Explicit Policy Optimization for Strategic Reasoning in LLMs via Reinforcement Learning
Xiaoqian Liu, Ke Wang, Yongbin Li et al.
Learning Together to Perform Better: Teaching Small-Scale LLMs to Collaborate via Preferential Rationale Tuning
Sohan Patnaik, Milan Aggarwal, Sumit Bhatia et al.
MasRouter: Learning to Route LLMs for Multi-Agent Systems
Yanwei Yue, Guibin Zhang, Boyang Liu et al.
IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory
Wei Song, Zhenya Huang, Cheng Cheng et al.
Middle-Layer Representation Alignment for Cross-Lingual Transfer in Fine-Tuned LLMs
Danni Liu, Jan Niehues
EvolveBench: A Comprehensive Benchmark for Assessing Temporal Awareness in LLMs on Evolving Knowledge
Zhiyuan Zhu, Yusheng Liao, Zhe Chen et al.
Enabling LLM Knowledge Analysis via Extensive Materialization
Yujia Hu, Tuan-Phong Nguyen, Shrestha Ghosh et al.
Llama See, Llama Do: A Mechanistic Perspective on Contextual Entrainment and Distraction in LLMs
Jingcheng Niu, Xingdi Yuan, Tong Wang et al.
M2S: Multi-turn to Single-turn jailbreak in Red Teaming for LLMs
Junwoo Ha, Hyunjun Kim, Sangyoon Yu et al.
RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning Based on Emotional Information
Zhiwei Liu, Kailai Yang, Qianqian Xie et al.