Papers
Pun Unintended: LLMs and the Illusion of Humor Understanding
Alessandro Zangari, Matteo Marcuzzo, Andrea Albarelli et al.
Leveraging What’s Overfixed: Post-Correction via LLM Grammatical Error Overcorrection
Taehee Park, Heejin Do, Gary Lee
Weaver: Interweaving SQL and LLM for Table Reasoning
Rohit Khoja, Devanshu Gupta, Yanjie Fu et al.
Unsupervised Concept Vector Extraction for Bias Control in LLMs
Hannah Cyberey, Yangfeng Ji, David Evans
LLMs are Better Than You Think: Label-Guided In-Context Learning for Named Entity Recognition
Fan Bai, Hamid Hassanzadeh, Ardavan Saeedi et al.
How to Protect Yourself from 5G Radiation? Investigating LLM Responses to Implicit Misinformation
Ruohao Guo, Wei Xu, Alan Ritter
Beyond A Single AI Cluster: A Survey of Decentralized LLM Training
Haotian Dong, Jingyan Jiang, Rongwei Lu et al.
Can LLM Agents Maintain a Persona in Discourse?
Pranav Bhandari, Nicolas Fay, Michael J Wise et al.
Do LLMs Encode Frame Semantics? Evidence from Frame Identification
Jayanth Krishna Chundru, Rudrashis Poddar, Jie Cao et al.
It’s All About In-Context Learning! Teaching Extremely Low-Resource Languages to LLMs
Yue Li, Zhixue Zhao, Carolina Scarton
MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs
Gabrielle Kaili-May Liu, Gal Yona, Avi Caciularu et al.
Cardiverse: Harnessing LLMs for Novel Card Game Prototyping
Danrui Li, Sen Zhang, Samuel S. Sohn et al.
Where Confabulation Lives: Latent Feature Discovery in LLMs
Thibaud Ardoin, Yi Cai, Gerhard Wunder
Correct-Detect: Balancing Performance and Ambiguity Through the Lens of Coreference Resolution in LLMs
Amber Shore, Russell Scheinberg, Ameeta Agrawal et al.
LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents
Taro Yano, Yoichi Ishibashi, Masafumi Oyamada
Finetuning LLMs for Human Behavior Prediction in Social Science Experiments
Akaash Kolluri, Shengguang Wu, Joon Sung Park et al.
Split-Merge: Scalable and Memory-Efficient Merging of Expert LLMs
Sruthi Gorantla, Aditya Rawal, Devamanyu Hazarika et al.
Model Consistency as a Cheap yet Predictive Proxy for LLM Elo Scores
Ashwin Ramaswamy, Nestor Demeure, Ermal Rrapaj
VeriLocc: End-to-End Cross-Architecture Register Allocation via LLM
Lesheng Jin, Zhenyuan Ruan, Haohui Mai et al.
Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs
Yao Fu, Xianxuan Long, Runchao Li et al.
Leveraging Knowledge Graph-Enhanced LLMs for Context-Aware Medical Consultation
Su-Hyeong Park, Ho-Beom Kim, Seong-Jin Park et al.
Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification
Maya Kruse, Majid Afshar, Saksham Khatwani et al.
Estimating LLM Consistency: A User Baseline vs Surrogate Metrics
Xiaoyuan Wu, Weiran Lin, Omer Akgul et al.
Improving Rule-based Reasoning in LLMs using Neurosymbolic Representations
Varun Dhanraj, Chris Eliasmith
Can LLMs Extract Frame-Semantic Arguments?
Jacob Devasier, Rishabh Mediratta, Chengkai Li