Papers
Becoming Experienced Judges: Selective Test-Time Learning for Evaluators
Seungyeon Jwa, Daechul Ahn, Reokyoung Kim et al.
Semantic Token Clustering for Efficient Uncertainty Quantification in Large Language Models
Qi Cao, Andrew Gambardella, Takeshi Kojima et al.
LLMs Know More About Numbers than They Can Say
Fengting Yuchi, Li Du, Jason Eisner
CHiRPE: A Step Towards Real-World Clinical NLP with Clinician-Oriented Model Explanations
Stephanie Fong, Zimu Wang, Guilherme C Oliveira et al.
Post-ASR Correction in Hindi: Comparing Language Models and Large Language Models in Low-Resource Scenarios
Rishabh Kumar, Amrith Krishna, Ganesh Ramakrishnan et al.
Exploring Fine-Tuning for In-Context Retrieval and Efficient KV-Caching in Long-Context Language Models
Francesco Maria Molfese, Momchil Hardalov, Rexhina Blloshmi et al.
Confidence Leaps in LLM Reasoning: Early Stopping and Cross-Model Transfer
Pavel Tikhonov, Ivan Oseledets, Elena Tutubalina
Evaluation of Deontic Conditional Reasoning in Large Language Models: The Case of Wason’s Selection Task
Hirohiko Abe, Kentaro Ozeki, Risako Ando et al.
Machine translation Evaluation Eng-Thai MQM Ranking dataset
Phichet Phuangrot, Natdanai Trintawat, Kanawat Vilasri et al.
Common Sense or Ableism? Rethinking Commonsense Reasoning Through the Lens of Disability
Karina H Halevy, Kimi Wenzel, Seyun Kim et al.
Funny or Persuasive, but Not Both: Evaluating Fine-Grained Multi-Concept Control in LLMs
Arya Labroo, Ivaxi Sheth, Vyas Raina et al.
On the Additive Compositionality of Task Vectors in Vision–Language Models
Yuting Shi, Houjing Wei, Naoya Inoue
When Benchmarks Age: Temporal Misalignment through Large Language Model Factuality Evaluation
Xunyi Jiang, Dingyi Chang, Julian McAuley et al.
Language Family Matters: Evaluating SpeechLLMs Across Linguistic Boundaries
Yuchen Zhang, Ravi Shekhar, Haralambos Mouratidis
Persuasion Tokens for Editing Factual Knowledge in LLMs
Paul Youssef, Christin Seifert, Jörg Schlötterer
Beyond Tokens: Concept-Level Training Objectives for LLMs
Laya Iyer, Pranav Somani, Alice Guo et al.
Infinity-MoE: Generalizing Mixture of Experts to Infinite Experts
Shota Takashiro, Takeshi Kojima, Shohei Taniguchi et al.
Learning to Ideate for Machine Learning Engineering Agents
Yunxiang Zhang, Kang Zhou, Zhichao Xu et al.
Out of Distribution, Out of Luck: Process Rewards Misguide Reasoning Models
Alexey Dontsov, Anton Korznikov, Andrey V. Galichin et al.
Exploring Generative Process Reward Modeling for Semi-Structured Data: A Case Study of Table Question Answering
Lei Tang, Wei Zhou, Mohsen Mesgar
MiSCHiEF: A Benchmark in Minimal-Pairs of Safety and Culture for Holistic Evaluation of Fine-Grained Image-Caption Alignment
Sagarika Banerjee, Tangatar Madi, Advait Swaminathan et al.
STREAM-ZH: Simplified Topic Retrieval Exploration and Analysis Module for Chinese Language
Hongyi Li, Jianjun Lian, Anton Frederik Thielmann et al.
SAFARI: A Community-Engaged Approach and Dataset of Stereotype Resources in the Sub-Saharan African Context
Aishwarya Verma, Laud Ammah, Olivia Nercy Ndlovu Lucas et al.
When Flores Bloomz Wrong: Cross-Direction Contamination in Machine Translation Evaluation
David Tan, Pinzhen Chen, Josef Van Genabith et al.