Papers
A Knapsack by Any Other Name: Presentation impacts LLM performance on NP-hard problems
Alex Duchnowski, Ellie Pavlick, Alexander Koller
Self-Correction Makes LLMs Better Parsers
Ziyan Zhang, Yang Hou, Chen Gong et al.
Mitigating Gender Bias via Fostering Exploratory Thinking in LLMs
Kangda Wei, Hasnat Md Abdullah, Ruihong Huang
SafeSwitch: Steering Unsafe LLM Behavior via Internal Activation Signals
Peixuan Han, Cheng Qian, Xiusi Chen et al.
PersonaGym: Evaluating Persona Agents and LLMs
Vinay Samuel, Henry Peng Zou, Yue Zhou et al.
Locate-then-Merge: Neuron-Level Parameter Fusion for Mitigating Catastrophic Forgetting in Multimodal LLMs
Zeping Yu, Sophia Ananiadou
MC2: A Minimum-Coverage and Dataset-Agnostic Framework for Compositional Generalization of LLMs on Semantic Parsing
Ziyao Xu, Zhe Yang, Houfeng Wang
Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs
Yunzhe Qi, Jinjin Tian, Tianci Liu et al.
Nine Ways to Break Copyright Law and Why Our LLM Won’t: A Fair Use Aligned Generation Framework
Aakash Sen Sharma, Debdeep Sanyal, Priyansh Srivastava et al.
DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs
Xiabin Zhou, Wenbin Wang, Minyan Zeng 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.
LLM Distillation for Efficient Few-Shot Multiple Choice Question Answering
Patrick Sutanto, Joan Santoso, Esther Irawati Setiawan et al.
Representing LLMs in Prompt Semantic Task Space
Idan Kashani, Avi Mendelson, Yaniv Nemcovsky
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.
From Confidence to Collapse in LLM Factual Robustness
Alina Fastowski, Bardh Prenkaj, Gjergji Kasneci
Joint Enhancement of Relational Reasoning for Long-Context LLMs
Zhirui Chen, Wei Shen, Jiashui Huang et al.
Rethink Rumor Detection in the Era of LLMs: A Review
Chang Yang, Peng Zhang, Jing Zhang et al.
DRBO: Mitigating the Bottleneck Effect via Dynamic Reward Balancing in Multi-reward LLM Optimization
Nuo Chen, Yufei Gao, Yongnan Jin et al.
Enhancing LLM Knowledge Learning through Generalization
Mingkang Zhu, Xi Chen, Zhongdao Wang et al.
Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents
Long Li, Weiwen Xu, Jiayan Guo et al.
Unveiling Multimodal Processing: Exploring Activation Patterns in Multimodal LLMs for Interpretability and Efficiency
Chuan Wu, Meng Su, Youxuan Fang et al.
Hard Negatives, Hard Lessons: Revisiting Training Data Quality for Robust Information Retrieval with LLMs
Nandan Thakur, Crystina Zhang, Xueguang Ma et al.
S2LPP: Small-to-Large Prompt Prediction across LLMs
Liang Cheng, Tianyi Li, Zhaowei Wang et al.
Tool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch
Yirong Zeng, Xiao Ding, Yutai Hou et al.