Papers
Variable Layerwise Quantization: A Simple and Effective Approach to Quantize LLMs
Razvan-Gabriel Dumitru, Vikas Yadav, Rishabh Maheshwary et al.
Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery
ChengAo Shen, Zhengzhang Chen, Dongsheng Luo et al.
Probing the Geometry of Truth: Consistency and Generalization of Truth Directions in LLMs Across Logical Transformations and Question Answering Tasks
Yuntai Bao, Xuhong Zhang, Tianyu Du et al.
CoinMath: Harnessing the Power of Coding Instruction for Math LLM
Chengwei Wei, Bin Wang, Jung-jae Kim et al.
Profiling News Media for Factuality and Bias Using LLMs and the Fact-Checking Methodology of Human Experts
Zain Muhammad Mujahid, Dilshod Azizov, Maha Tufail Agro et al.
SHARP: Unlocking Interactive Hallucination via Stance Transfer in Role-Playing LLMs
Chuyi Kong, Ziyang Luo, Hongzhan Lin et al.
SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution
Chengxing Xie, Bowen Li, Chang Gao et al.
From Misleading Queries to Accurate Answers: A Three-Stage Fine-Tuning Method for LLMs
Guocong Li, Weize Liu, Yihang Wu et al.
Nuclear Deployed!: Analyzing Catastrophic Risks in Decision-making of Autonomous LLM Agents
Rongwu Xu, Xiaojian Li, Shuo Chen et al.
AD-LLM: Benchmarking Large Language Models for Anomaly Detection
Tiankai Yang, Yi Nian, Li Li et al.
Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration
Yang Zhang, Shixin Yang, Chenjia Bai et al.
UAQFact: Evaluating Factual Knowledge Utilization of LLMs on Unanswerable Questions
Chuanyuan Tan, Wenbiao Shao, Hao Xiong et al.
EXECUTE: A Multilingual Benchmark for LLM Token Understanding
Lukas Edman, Helmut Schmid, Alexander Fraser
SATA: A Paradigm for LLM Jailbreak via Simple Assistive Task Linkage
Xiaoning Dong, Wenbo Hu, Wei Xu et al.
Domain Regeneration: How well do LLMs match syntactic properties of text domains?
Da Ju, Hagen Blix, Adina Williams
RaaS: Reasoning-Aware Attention Sparsity for Efficient LLM Reasoning
Junhao Hu, Wenrui Huang, Weidong Wang et al.
Training Long-Context LLMs Efficiently via Chunk-wise Optimization
Wenhao Li, Yuxin Zhang, Gen Luo et al.
A Case Study of Cross-Lingual Zero-Shot Generalization for Classical Languages in LLMs
V.S.D.S.Mahesh Akavarapu, Hrishikesh Terdalkar, Pramit Bhattacharyya et al.
Cross-Lingual Transfer of Debiasing and Detoxification in Multilingual LLMs: An Extensive Investigation
Vera Neplenbroek, Arianna Bisazza, Raquel Fernández
Know the Unknown: An Uncertainty-Sensitive Method for LLM Instruction Tuning
Jiaqi Li, Yixuan Tang, Yi Yang
Scaling LLMs’ Social Reasoning: Sprinkle Cognitive “Aha Moment” into Fundamental Long-thought Logical Capabilities
Guiyang Hou, Wenqi Zhang, Zhe Zheng et al.
LongFaith: Enhancing Long-Context Reasoning in LLMs with Faithful Synthetic Data
Cehao Yang, Xueyuan Lin, Chengjin Xu et al.
Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains
Xu Chu, Zhijie Tan, Hanlin Xue et al.
GRAMMAR-LLM: Grammar-Constrained Natural Language Generation
Gabriele Tuccio, Luana Bulla, Maria Madonia et al.