Papers
No Black Boxes: Interpretable and Interactable Predictive Healthcare with Knowledge-Enhanced Agentic Causal Discovery
Xiaoxue Han, Pengfei Hu, Chang Lu et al.
HomoGraphAdapter: A Homogeneous Graph Neural Network as an Effective Adapter for Vision-Language Models
Chuan He, Zhuozhao Li, Song Guo et al.
The Language of Interoception: Examining Embodiment and Emotion Through a Corpus of Body Part Mentions
Sophie Wu, Jan Philip Wahle, Saif M. Mohammad
Understanding GUI Agent Localization Biases through Logit Sharpness
Xingjian Tao, Yiwei Wang, Yujun Cai et al.
ProcVQA: Benchmarking the Effects of Structural Properties in Mined Process Visualizations on Vision–Language Model Performance
Kazi Tasnim Zinat, Saad Mohammad Abrar, Shoumik Saha et al.
DebUnc: Improving Large Language Model Agent Communication With Uncertainty Metrics
Luke Yoffe, Alfonso Amayuelas, William Yang Wang
Context Length Alone Hurts LLM Performance Despite Perfect Retrieval
Yufeng Du, Minyang Tian, Srikanth Ronanki et al.
Do We Know What LLMs Don’t Know? A Study of Consistency in Knowledge Probing
Raoyuan Zhao, Abdullatif Köksal, Ali Modarressi et al.
Spiral of Silence in Large Language Model Agents
Mingze Zhong, Meng Fang, Zijing Shi et al.
The Prompt Makes the Person(a): A Systematic Evaluation of Sociodemographic Persona Prompting for Large Language Models
Marlene Lutz, Indira Sen, Georg Ahnert et al.
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.