Papers
Waste-Bench: A Comprehensive Benchmark for Evaluating VLLMs in Cluttered Environments
Muhammad Ali, Salman Khan
Program of Thoughts for Financial Reasoning: Leveraging Dynamic In-Context Examples and Generative Retrieval
Subhendu Khatuya, Shashwat Naidu, Pawan Goyal et al.
MMDocIR: Benchmarking Multimodal Retrieval for Long Documents
Kuicai Dong, Yujing Chang, Derrick Goh Xin Deik et al.
AutoCT: Automating Interpretable Clinical Trial Prediction with LLM Agents
Fengze Liu, Haoyu Wang, Joonhyuk Cho et al.
Is Cognition Consistent with Perception? Assessing and Mitigating Multimodal Knowledge Conflicts in Document Understanding
Zirui Shao, Feiyu Gao, Zhaoqing Zhu et al.
The Pursuit of Empathy: Evaluating Small Language Models for PTSD Dialogue Support
Suhas Bn, Yash Mahajan, Dominik O. Mattioli et al.
UnifiedVisual: A Framework for Constructing Unified Vision-Language Datasets
Pengyu Wang, Shaojun Zhou, Chenkun Tan et al.
ModelCitizens: Representing Community Voices in Online Safety
Ashima Suvarna, Christina A Chance, Karolina Naranjo et al.
ProLongVid: A Simple but Strong Baseline for Long-context Video Instruction Tuning
Rui Wang, Bohao Li, Xiyang Dai et al.
Meta-Semantics Augmented Few-Shot Relational Learning
Han Wu, Jie Yin
SERVAL: Surprisingly Effective Zero-Shot Visual Document Retrieval Powered by Large Vision and Language Models
Thong Nguyen, Yibin Lei, Jia-Huei Ju et al.
SimMark: A Robust Sentence-Level Similarity-Based Watermarking Algorithm for Large Language Models
Amirhossein Dabiriaghdam, Lele Wang
A Position Paper on the Automatic Generation of Machine Learning Leaderboards
Roelien C. Timmer, Yufang Hou, Stephen Wan
All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other Tokens
Siddarth Mamidanna, Daking Rai, Ziyu Yao et al.
PatentScore: Multi-dimensional Evaluation of LLM-Generated Patent Claims
Yongmin Yoo, Qiongkai Xu, Longbing Cao
Are Language Models Consequentialist or Deontological Moral Reasoners?
Keenan Samway, Max Kleiman-Weiner, David Guzman Piedrahita et al.
Implicit Behavioral Alignment of Language Agents in High-Stakes Crowd Simulations
Yunzhe Wang, Gale Lucas, Burcin Becerik-Gerber et al.
CausalVLBench: Benchmarking Visual Causal Reasoning in Large Vision-Language Models
Aneesh Komanduri, Karuna Bhaila, Xintao Wu
Mapping semantic networks to Dutch word embeddings as a diagnostic tool for cognitive decline
Maithe van Noort, Michal Korenar, Jelke Bloem
Enhancing RLHF with Human Gaze Modeling
Karim Galliamov, Ivan Titov, Ilya Pershin
Accelerated Test-Time Scaling with Model-Free Speculative Sampling
Woomin Song, Saket Dingliwal, Sai Muralidhar Jayanthi et al.
Can LLMs Extract Frame-Semantic Arguments?
Jacob Devasier, Rishabh Mediratta, Chengkai Li
Improving Rule-based Reasoning in LLMs using Neurosymbolic Representations
Varun Dhanraj, Chris Eliasmith
Are Vision-Language Models Safe in the Wild? A Meme-Based Benchmark Study
DongGeon Lee, Joonwon Jang, Jihae Jeong et al.
Estimating LLM Consistency: A User Baseline vs Surrogate Metrics
Xiaoyuan Wu, Weiran Lin, Omer Akgul et al.