Papers
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.
AutoSDT: Scaling Data-Driven Discovery Tasks Toward Open Co-Scientists
Yifei Li, Hanane Nour Moussa, Ziru Chen et al.
Context-aware Biases for Length Extrapolation
Ali Veisi, Hamidreza Amirzadeh, Amir M. Mansourian
Enhancing Study-Level Inference from Clinical Trial Papers via Reinforcement Learning-Based Numeric Reasoning
Massimiliano Pronesti, Michela Lorandi, Paul Flanagan et al.
UNCLE: Benchmarking Uncertainty Expressions in Long-Form Generation
Ruihan Yang, Caiqi Zhang, Zhisong Zhang et al.
VerIF: Verification Engineering for Reinforcement Learning in Instruction Following
Hao Peng, Yunjia Qi, Xiaozhi Wang et al.
Structured Moral Reasoning in Language Models: A Value-Grounded Evaluation Framework
Mohna Chakraborty, Lu Wang, David Jurgens
FLUID QA: A Multilingual Benchmark for Figurative Language Usage in Dialogue across English, Chinese, and Korean
Seoyoon Park, Hyeji Choi, Minseon Kim et al.
MemeIntel: Explainable Detection of Propagandistic and Hateful Memes
Mohamed Bayan Kmainasi, Abul Hasnat, Md Arid Hasan et al.
VeriLocc: End-to-End Cross-Architecture Register Allocation via LLM
Lesheng Jin, Zhenyuan Ruan, Haohui Mai et al.
DiNaM: Disinformation Narrative Mining with Large Language Models
Witold Sosnowski, Arkadiusz Modzelewski, Kinga Skorupska et al.
TaxoAlign: Scholarly Taxonomy Generation Using Language Models
Avishek Lahiri, Yufang Hou, Debarshi Kumar Sanyal
Plutus: Benchmarking Large Language Models in Low-Resource Greek Finance
Xueqing Peng, Triantafillos Papadopoulos, Efstathia Soufleri et al.
Model Consistency as a Cheap yet Predictive Proxy for LLM Elo Scores
Ashwin Ramaswamy, Nestor Demeure, Ermal Rrapaj
Split-Merge: Scalable and Memory-Efficient Merging of Expert LLMs
Sruthi Gorantla, Aditya Rawal, Devamanyu Hazarika et al.
How Private are Language Models in Abstractive Summarization?
Anthony Hughes, Nikolaos Aletras, Ning Ma
Finetuning LLMs for Human Behavior Prediction in Social Science Experiments
Akaash Kolluri, Shengguang Wu, Joon Sung Park et al.