Papers
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
Watermarking for Factuality: Guiding Vision-Language Models Toward Truth via Tri-layer Contrastive Decoding
Kyungryul Back, Seongbeom Park, Milim Kim et al.
For a Fistful of Puns: Evaluating a Puns in Multiword Expressions Identification Algorithm Without Dedicated Dataset
Julien Bezançon, Gaël Lejeune
Towards Robust Few-Shot Relation Classification: Incorporating Relation Description with Agreement
Mengting Hu, Jianfeng Wu, Ming Jiang et al.
DLPO: Towards a Robust, Efficient, and Generalizable Prompt Optimization Framework from a Deep-Learning Perspective
Dengyun Peng, Yuhang Zhou, Qiguang Chen et al.
LRPLAN: A Multi-Agent Collaboration of Large Language and Reasoning Models for Planning with Implicit & Explicit Constraints
T Karthikeyan, Om Dehlan, Mausam et al.
Causal-LLM: A Unified One-Shot Framework for Prompt- and Data-Driven Causal Graph Discovery
Amartya Roy, N Devharish, Shreya Ganguly et al.
Safeguarding Privacy of Retrieval Data against Membership Inference Attacks: Is This Query Too Close to Home?
Yujin Choi, Youngjoo Park, Junyoung Byun et al.
Low-Confidence Gold: Refining Low-Confidence Samples for Efficient Instruction Tuning
Hongyi Cai, Jie Li, Mohammad Mahdinur Rahman et al.
Improving Alignment in LVLMs with Debiased Self-Judgment
Sihan Yang, Chenhang Cui, Zihao Zhao et al.