Papers
Enhancing LLM Knowledge Learning through Generalization
Mingkang Zhu, Xi Chen, Zhongdao Wang et al.
DRBO: Mitigating the Bottleneck Effect via Dynamic Reward Balancing in Multi-reward LLM Optimization
Nuo Chen, Yufei Gao, Yongnan Jin et al.
Align Attention Heads Before Merging Them: An Effective Way for Converting MHA to GQA
Qingyun Jin, Xiaohui Song, Feng Zhou et al.
MAGIC: A Multi-Hop and Graph-Based Benchmark for Inter-Context Conflicts in Retrieval-Augmented Generation
Jungyeon Lee, Lee Kangmin, Taeuk Kim
ScholarBench: A Bilingual Benchmark for Abstraction, Comprehension, and Reasoning Evaluation in Academic Contexts
Dongwon Noh, Donghyeok Koh, Junghun Yuk et al.
Rethink Rumor Detection in the Era of LLMs: A Review
Chang Yang, Peng Zhang, Jing Zhang et al.
Training Medical QA Models Based on Mixed Rewards from Multiple-Choice and Open-Ended Questions
Yue Qiu, Yujan Ting, Pei Dong et al.
Joint Enhancement of Relational Reasoning for Long-Context LLMs
Zhirui Chen, Wei Shen, Jiashui Huang et al.
CtrlNews: LLM-based Multi-Agent Controllable News Writing via Knowledge Gravitational Field
Yifei Xu, Yingjie Zong, Wang Zhonghua et al.
From Confidence to Collapse in LLM Factual Robustness
Alina Fastowski, Bardh Prenkaj, Gjergji Kasneci
DAPE-BR: Distance-Aware Positional Encoding for Mitigating Object Hallucination in LVLMs
Mingrui Xie, Tianxiang Xu, Qianhai Tang et al.
The Illusion of Randomness: How LLMs Fail to Emulate Stochastic Decision-Making in Rock-Paper-Scissors Games?
Zihao Guo, Hongtao Lv, Chaoli Zhang et al.
PersLLM: A Personified Training Approach for Large Language Models
Zheni Zeng, Jiayi Chen, Huimin Chen et al.
Representing LLMs in Prompt Semantic Task Space
Idan Kashani, Avi Mendelson, Yaniv Nemcovsky
SalaMAnder: Shapley-based Mathematical Expression Attribution and Metric for Chain-of-Thought Reasoning
Yue Xin, Chen Shen, Shaotian Yan et al.
FedCoT: Federated Chain-of-Thought Distillation for Large Language Models
Tao Fan, Weijing Chen, Yan Kang et al.
Teaching LLMs to Plan, Not Just Solve: Plan Learning Boosts LLMs Generalization in Reasoning Tasks
Tianlong Wang, Junzhe Chen, Weibin Liao et al.
LLM Distillation for Efficient Few-Shot Multiple Choice Question Answering
Patrick Sutanto, Joan Santoso, Esther Irawati Setiawan et al.
Staged Knowledge Distillation Through Least-to-Most Prompting: Optimizing Teacher Guidance via Difficulty-Aware Training
Mengxiang Zhang, Lingyuan Liu
SafeInt: Shielding Large Language Models from Jailbreak Attacks via Safety-Aware Representation Intervention
Jiaqi Wu, Chen Chen, Chunyan Hou et al.
AttnComp: Attention-Guided Adaptive Context Compression for Retrieval-Augmented Generation
Lvzhou Luo, Yixuan Cao, Ping Luo
What data should I include in my POS tagging training set?
Zoey Liu, Masoud Jasbi, Christan Grant et al.
RefVNLI: Towards Scalable Evaluation of Subject-driven Text-to-image Generation
Aviv Slobodkin, Hagai Taitelbaum, Yonatan Bitton et al.
Rethinking LLM-Based Recommendations: A Personalized Query-Driven Parallel Integration
Donghee Han, Hwanjun Song, Mun Yong Yi