Papers
Towards Faithful Natural Language Explanations: A Study Using Activation Patching in Large Language Models
Wei Jie Yeo, Ranjan Satapathy, Erik Cambria
Bit-Flip Error Resilience in LLMs: A Comprehensive Analysis and Defense Framework
Yuhang Chen, Zhen Tan, Ajay Kumar Jaiswal et al.
Primus: A Pioneering Collection of Open-Source Datasets for Cybersecurity LLM Training
Yao-Ching Yu, Tsun-Han Chiang, Cheng-Wei Tsai et al.
SPaRC: A Spatial Pathfinding Reasoning Challenge
Lars Benedikt Kaesberg, Jan Philip Wahle, Terry Ruas et al.
Doubling Your Data in Minutes: Ultra-fast Tabular Data Generation via LLM-Induced Dependency Graphs
Shuo Yang, Zheyu Zhang, Bardh Prenkaj et al.
Evaluating Language Translation Models by Playing Telephone
Syeda Jannatus Saba, Steven Skiena
A Case Against Implicit Standards: Homophone Normalization in Machine Translation for Languages that use the Ge’ez Script.
Hellina Hailu Nigatu, Atnafu Lambebo Tonja, Henok Biadglign Ademtew et al.
When Long Helps Short: How Context Length in Supervised Fine-tuning Affects Behavior of Large Language Models
Yingming Zheng, Hanqi Li, Kai Yu et al.
Layered Insights: Generalizable Analysis of Human Authorial Style by Leveraging All Transformer Layers
Milad Alshomary, Nikhil Reddy Varimalla, Vishal Anand et al.
CoBA: Counterbias Text Augmentation for Mitigating Various Spurious Correlations via Semantic Triples
Kyohoon Jin, Juhwan Choi, JungMin Yun et al.
SAEs Are Good for Steering – If You Select the Right Features
Dana Arad, Aaron Mueller, Yonatan Belinkov
Augmenting Multi-Agent Communication with State Delta Trajectory
Yichen Tang, Weihang Su, Yujia Zhou et al.
PRISM: Efficient Long-Range Reasoning With Short-Context LLMs
Dulhan Jayalath, James Bradley Wendt, Nicholas Monath et al.
Learn and Unlearn: Addressing Misinformation in Multilingual LLMs
TaiMing Lu, Philipp Koehn
Train One Sparse Autoencoder Across Multiple Sparsity Budgets to Preserve Interpretability and Accuracy
Nikita Balagansky, Yaroslav Aksenov, Daniil Laptev et al.
Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey
Chih-Kai Yang, Neo S. Ho, Hung-yi Lee
RecGPT: A Foundation Model for Sequential Recommendation
Yangqin Jiang, Xubin Ren, Lianghao Xia et al.
FinTrust: A Comprehensive Benchmark of Trustworthiness Evaluation in Finance Domain
Tiansheng Hu, Tongyan Hu, Liuyang Bai et al.
Benchmarking Large Language Models Under Data Contamination: A Survey from Static to Dynamic Evaluation
Simin Chen, Yiming Chen, Zexin Li et al.
Reshaping Representation Space to Balance the Safety and Over-rejection in Large Audio Language Models
Hao Yang, Lizhen Qu, Ehsan Shareghi et al.
Towards Transferable Personality Representation Learning based on Triplet Comparisons and Its Applications
Kai Tang, Rui Wang, Renyu Zhu et al.
MusKGC: A Flexible Multi-source Knowledge Enhancement Framework for Open-World Knowledge Graph Completion
Xin Song, Liu Haiyan, Haiyang Wang et al.
PORTS: Preference-Optimized Retrievers for Tool Selection with Large Language Models
Lorenzo Molfetta, Giacomo Frisoni, Nicolò Monaldini et al.
AgentPro: Enhancing LLM Agents with Automated Process Supervision
Yuchen Deng, Shichen Fan, Naibo Wang et al.
Stop Looking for “Important Tokens” in Multimodal Language Models: Duplication Matters More
Zichen Wen, Yifeng Gao, Shaobo Wang et al.