Papers
Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models
Divyaksh Shukla, Ashutosh Modi
Constructing a Japanese Verdict Prediction Dataset for Fact-Checking of LLM-Generated Texts
Miwa Masano, Hirokazu Kiyomaru, Atsushi Keyaki et al.
Contextual Diversity Measure (CDM) for Controllable Story Generation in Large Language Models
Richard Susilo, Hanna Suominen, Patrik Haslum
Through the Looking Glass of Multilingual AI: Contrasting Language- and Name Script-Dependent Ethnic Hierarchies in GPT and DeepSeek
Annabella Sakunkoo, Jonathan Sakunkoo
TableMBR: Minimum Bayes Risk Table Generation Based on Structural Consistency
Daiki Yoshida, Hiroyuki Deguchi, Yusuke Sakai et al.
Processing Inconsistency Predicts Language Competence: LLM Evaluation Without Answer Labels on Turkic Languages
Ilya Galyukshev, Ilseyar Alimova
Morphology-Aware Multi-Granularity Representation Learning for Agglutinative Languages
Zhonghao Zhang, Na Liu, Jiajia Ma et al.
Analysis of the Neglect-Zero Effect in Large Language Models
Jin Tanaka, Daiki Matsuoka, Ryoma Kumon et al.
LLM-Based Zero-Shot Soft Labeling for Anticipating Disagreement in Negotiation Dialogues
Ken Watanabe, Katsuhide Fujita
Boosting Self-Consistency with Ranking
Maria Marina, Daniil Moskovskiy, Sergey Pletenev et al.
Beyond Discrete Search: Divergent Thinking as Intention Optimization in Latent Space
Mateusz Bystroński, Grzegorz Piotrowski, Tomasz Jan Kajdanowicz
Fine-Grained Semantic Comparison of Legal Documents using LLMs
Elisei Rykov, Nikolay Ivanov, Maria Bandulevich et al.
How Hard is Math? Using Quantitative Metrics to Measure LLM Alignment to Human Intuitions of Difficulty
Micah Helzerman, Steven R Wilson, Cam McLeman
Mechanistic Analysis Of Universality: Numerical Comparison Circuits Across Transformer Architectures
Arya Bhardia, Julian Ramirez, Siddhanta Verma et al.
Tonal Salience in Cognitive Decline: In-Context MCI Detection with Multimodal LLMs
Christopher Song, Abdullah P. Rashed Ahmed
Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation
Luke Zhang, Justin Vasselli, Aditya Khan et al.
Task Assignment meets Annotator Modeling: Human-LLM Collaborative Annotation with Constraints
Kei Moriyama, Kouta Nakayama, Yukino Baba
LLMs for Now, Fine-Tuning for Later: An Ensemble Approach to Data Drift in Domain-Specific Tasks
Yuxuan Lu, Bingsheng Yao, Shao Zhang et al.
One Panel Does Not Fit All: Case-Adaptive Multi-Agent Deliberation for Clinical Prediction
Yuxing Lu, Yushuhong Lin, Jason Zhang
Thesis Proposal: Toward a Human-Centered and Perspective-Aware Framework for Reproducible ML Evaluation and AI Alignment
Deepak Pandita, Christopher M. Homan