Papers
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.
Studying Rhetorically Ambiguous Questions
Oghenevovwe Ikumariegbe, Eduardo Blanco, Ellen Riloff
Exploring morphology-aware tokenization: A case study on Spanish language modeling
Alba Táboas García, Piotr Przybyła, Leo Wanner
Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification
Maya Kruse, Majid Afshar, Saksham Khatwani et al.
Reflective Agreement: Combining Self-Mixture of Agents with a Sequence Tagger for Robust Event Extraction
Fatemeh Haji, Mazal Bethany, Cho-Yu Jason Chiang et al.
Leveraging Knowledge Graph-Enhanced LLMs for Context-Aware Medical Consultation
Su-Hyeong Park, Ho-Beom Kim, Seong-Jin Park et al.
Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs
Yao Fu, Xianxuan Long, Runchao Li et al.
Finding your MUSE: Mining Unexpected Solutions Engine
Nir Sweed, Hanit Hakim, Ben Wolfson et al.