Papers
Towards Long Context Hallucination Detection
Siyi Liu, Kishaloy Halder, Zheng Qi et al.
Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning
Venkatesh Mishra, Bimsara Pathiraja, Mihir Parmar et al.
On A Scale From 1 to 5: Quantifying Hallucination in Faithfulness Evaluation
Xiaonan Jing, Srinivas Billa, Danny Godbout
LLM-Microscope: Uncovering the Hidden Role of Punctuation in Context Memory of Transformers
Anton Razzhigaev, Matvey Mikhalchuk, Temurbek Rahmatullaev et al.
Analysis of LLM as a grammatical feature tagger for African American English
Rahul Porwal, Alice Rozet, Jotsna Gowda et al.
Using Linguistic Entrainment to Evaluate Large Language Models for Use in Cognitive Behavioral Therapy
Mina Kian, Kaleen Shrestha, Katrin Fischer et al.
Optimizing Hidden Markov Language Models: An Empirical Study of Reparameterization and Initialization Techniques
Ivan Lee, Taylor Berg-Kirkpatrick
ThoughtSculpt: Reasoning with Intermediate Revision and Search
Yizhou Chi, Kevin Yang, Dan Klein
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey
Xiaoyu Liu, Paiheng Xu, Junda Wu et al.
Evaluation of LLMs-based Hidden States as Author Representations for Psychological Human-Centered NLP Tasks
Nikita Soni, Pranav Chitale, Khushboo Singh et al.
RusCode: Russian Cultural Code Benchmark for Text-to-Image Generation
Viacheslav Vasilev, Julia Agafonova, Nikolai Gerasimenko et al.
Tooling or Not Tooling? The Impact of Tools on Language Agents for Chemistry Problem Solving
Botao Yu, Frazier N. Baker, Ziru Chen et al.
Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning
Jeffrey Olmo, Jared Wilson, Max Forsey et al.
Beyond Words: Exploring Cultural Value Sensitivity in Multimodal Models
Srishti Yadav, Zhi Zhang, Daniel Hershcovich et al.
Aligning to What? Limits to RLHF Based Alignment
Logan Barnhart, Reza Akbarian Bafghi, Stephen Becker et al.
Hypothesis Generation for Materials Discovery and Design Using Goal-Driven and Constraint-Guided LLM Agents
Shrinidhi Kumbhar, Venkatesh Mishra, Kevin Coutinho et al.
Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models
Zizhang Chen, Peizhao Li, Xiaomeng Dong et al.
Do Large Language Models Align with Core Mental Health Counseling Competencies?
Viet Cuong Nguyen, Mohammad Taher, Dongwan Hong et al.
Rejected Dialects: Biases Against African American Language in Reward Models
Joel Mire, Zubin Trivadi Aysola, Daniel Chechelnitsky et al.
How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation
Yan Meng, Di Wu, Christof Monz
MedThink: A Rationale-Guided Framework for Explaining Medical Visual Question Answering
Xiaotang Gai, Chenyi Zhou, Jiaxiang Liu et al.
AcrosticSleuth: Probabilistic Identification and Ranking of Acrostics in Multilingual Corpora
Aleksandr Fedchin, Isabel Cooperman, Pramit Chaudhuri et al.
Uncovering Latent Arguments in Social Media Messaging by Employing LLMs-in-the-Loop Strategy
Tunazzina Islam, Dan Goldwasser
When natural language is not enough: The limits of in-context learning demonstrations in multilingual reasoning
Leonardo Ranaldi, Barry Haddow, Alexandra Birch