Papers
Learning Is Not A Race: Improving Retrieval in Language Models via Equal Learning
Wanqian Yang, Aahlad Manas Puli, Rajesh Ranganath
Improving LLM-as-a-Judge Inference with the Judgment Distribution
Victor Wang, Michael JQ Zhang, Eunsol Choi
AGENTVIGIL: Automatic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents
Zhun Wang, Vincent Siu, Zhe Ye et al.
Looking Beyond the Pixels: Evaluating Visual Metaphor Understanding in VLMs
Manishit Kundu, Sumit Shekhar, Pushpak Bhattacharyya
MAKIEval: A Multilingual Automatic WiKidata-based Framework for Cultural Awareness Evaluation for LLMs
Raoyuan Zhao, Beiduo Chen, Barbara Plank et al.
Protein Large Language Models: A Comprehensive Survey
Yijia Xiao, Wanjia Zhao, Junkai Zhang et al.
Pearl: A Multimodal Culturally-Aware Arabic Instruction Dataset
Fakhraddin Alwajih, Samar M. Magdy, Abdellah El Mekki et al.
LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem
Hongyi Liu, Shaochen Zhong, Xintong Sun et al.
VIBE: Can a VLM Read the Room?
Tania Chakraborty, Eylon Caplan, Dan Goldwasser
Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts
Xuyang Wu, Yuan Wang, Hsin-Tai Wu et al.
How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on tau-bench
Venkatesh Mishra, Amir Saeidi, Satyam Raj et al.
MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts?
Muntasir Wahed, Xiaona Zhou, Kiet A. Nguyen et al.
mrCAD: Multimodal Communication to Refine Computer-aided Designs
William P McCarthy, Saujas Vaduguru, Karl D.d. Willis et al.
A Comparison of Independent and Joint Fine-tuning Strategies for Retrieval-Augmented Generation
Neal Gregory Lawton, Alfy Samuel, Anoop Kumar et al.
Instability in Downstream Task Performance During LLM Pretraining
Yuto Nishida, Masaru Isonuma, Yusuke Oda
Beyond Contrastive Learning: Synthetic Data Enables List-wise Training with Multiple Levels of Relevance
Reza Esfandiarpoor, George Zerveas, Ruochen Zhang et al.
From Insight to Exploit: Leveraging LLM Collaboration for Adaptive Adversarial Text Generation
Najrin Sultana, Md Rafi Ur Rashid, Kang Gu et al.
Investigating Dictionary Expansion for Video-based Sign Language Dictionaries
Aashaka Desai, Daniela Massiceti, Richard Ladner et al.
Rethinking NLP for Chemistry: A Critical Look at the USPTO Benchmark
Derin Ozer, Nicolas Gutowski, Benoit Da Mota et al.
UrduFactCheck: An Agentic Fact-Checking Framework for Urdu with Evidence Boosting and Benchmarking
Sarfraz Ahmad, Hasan Iqbal, Momina Ahsan et al.
Aligning Dialogue Agents with Global Feedback via Large Language Model Multimodal Reward Decomposition
Dong Won Lee, Hae Won Park, Cynthia Breazeal et al.
Enhancing Domain-Specific Encoder Models with LLM-Generated Data: How to Leverage Ontologies, and How to Do Without Them
Marc Felix Brinner, Tarek Al Mustafa, Sina Zarrieß
DORM: Preference Data Weights Optimization for Reward Modeling in LLM Alignment
Rongzhi Zhang, Chenwei Zhang, Xinyang Zhang et al.
Assessing the Role of Data Quality in Training Bilingual Language Models
Skyler Seto, Maartje Ter Hoeve, Maureen de Seyssel et al.