Papers
GitChameleon 2.0: Evaluating AI Code Generation Against Python Library Version Incompatibilities
Diganta Misra, Nizar Islah, Victor May et al.
What About the Scene With the Hitler Reference? HAUNT: A Framework to Probe LLMs’ Self-consistency in Closed Domains Via Adversarial Nudge
Arka Dutta, Sujan Dutta, Rijul Magu et al.
Factual Retrieval in LLMs Is a Redundant, Distributed and Non-Contiguous Process
Hail Hochman, Natalie Shapira, Yoav Goldberg
Jailbreak-Zero: A Path to Pareto Optimal Red Teaming for Large Language Models
Kai Hu, Abhinav Aggarwal, Mehran Khodabandeh et al.
Monotonic Scaffolding as a Diagnostic Lens for Legal Reasoning in LLMs
Pedro Calais, Janderson Santos, Anisio Lacerda et al.
BatonVoice: An Operationalist Framework for Enhancing Controllable Speech Synthesis with Linguistic Intelligence from LLMs
Yue Wang, Ruotian Ma, Xingyu Chen et al.
Reasoning Is Not All You Need: Examining LLMs for Multi-Turn Mental Health Conversations
Mohit Chandra, Siddharth Sriraman, Harneet Singh Khanuja et al.
Generalizing Trust: Weak-to-Strong Trustworthiness in Language Models
Lillian Sun, Martin Pawelczyk, Zhenting Qi et al.
OLA: Output Language Alignment in Code-Switched LLM Interactions
Juhyun Oh, Haneul Yoo, Faiz Ghifari Haznitrama et al.
Agentic Very Long Video Understanding
Aniket Rege, Arka Sadhu, Yuliang Li et al.
DiNO: Disinformation Narrative Observer
Witold Sosnowski, Arkadiusz Modzelewski, Kinga Skorupska et al.
GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMs
Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin et al.
Minimal Free Resolution Guided Adaptive Tree Reasoning
Dezhao Tang, Meihan Liu, Yulai Tong et al.
Graph-Based Alternatives to LLMs for Human Simulation
Joseph Suh, Suhong Moon, Serina Chang
Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts
Christos Ziakas, Nicholas Loo, Nishita Jain et al.
From Words to Pixels: A Comprehensive Survey on Large Language Models in Visual Segmentation
Yizhou Wang, Mang Tik Chiu, Lingzhi Zhang et al.
ReGATE: Learning Faster and Better with Fewer Tokens in MLLMs
Chaoyu Li, Yogesh Kulkarni, Pooyan Fazli
An Information-Theoretic Foundation for the Subregular Hierarchy
Mai Phan Quoc Hung, Khanh Nguyen Quoc, Đoàn Minh Luong et al.
TEA-Bench: A Systematic Benchmarking of Tool-enhanced Emotional Support Dialogue Agent
Xingyu Sui, Yanyan Zhao, Yulin Hu et al.
DPEPO: Diverse Parallel Exploration Policy Optimization for LLM-based Agents
JunShuo Zhang, Chengrui Huang, Feng Guo et al.
UniSRM: A Unified Speech Reward Model for Reasoning-Based Fine-grained Assessment
Yuanyuan Wang, Dongchao Yang, Yayue Deng et al.
Overcoming Copyright Barriers in Corpus Distribution Through Non-Reversible Hashing
Arthur Amalvy, Vincent Labatut, Xavier Bost et al.
MADE: A Living Benchmark for Multi-Label Text Classification with Uncertainty Quantification of Medical Device Adverse Events
Raunak Agarwal, Markus A. Wenzel, Simon Baur et al.
FactCorrector: A Graph-Inspired Approach to Long-Form Factuality Correction of Large Language Models
Javier Carnerero-Cano, Massimiliano Pronesti, Radu Marinescu et al.
MUTANT: A Recipe for Multilingual Tokenizer Design
Souvik Rana, Ashish Kulkarni, Arul Menezes et al.