Papers
Read Your Own Mind: Reasoning Helps Surface Self-Confidence Signals in LLMs
Jakub Podolak, Rajeev Verma
It Depends: Resolving Referential Ambiguity in Minimal Contexts with Commonsense Knowledge
Lukas Ellinger, Georg Groh
Causal Understanding by LLMs: The Role of Uncertainty
Oscar William Lithgow-Serrano, Vani Kanjirangat, Alessandro Antonucci
Towards Trustworthy Summarization of Cardiovascular Articles: A Factuality-and-Uncertainty-Aware Biomedical LLM Approach
Eleni Partalidou, Tatiana Passali, Chrysoula Zerva et al.
Amortized Bayesian Meta-Learning for Low-Rank Adaptation of Large Language Models
Liyi Zhang, Jake C. Snell, Thomas L. Griffiths
Confidence-Based Response Abstinence: Improving LLM Trustworthiness via Activation-Based Uncertainty Estimation
Zhiqi Huang, Vivek Datla, Chenyang Zhu et al.
On the Role of Unobserved Sequences on Sample-based Uncertainty Quantification for LLMs
Lucie Kunitomo-Jacquin, Edison Marrese-Taylor, Ken Fukuda
Demystify Verbosity Compensation Behavior of Large Language Models
Yusen Zhang, Sarkar Snigdha Sarathi Das, Rui Zhang
Consensus or Conflict? Fine-Grained Evaluation of Conflicting Answers in Question-Answering
Eviatar Nachshoni, Arie Cattan, Shmuel Amar et al.
Confidence Calibration in Large Language Model-Based Entity Matching
Iris Kamsteeg, Juan Cardenas-Cartagena, Floris van Beers et al.
Uncertainty in Semantic Language Modeling with PIXELS
Stefania Radu, Marco Zullich, Matias Valdenegro-Toro
HALLUCINOGEN: Benchmarking Hallucination in Implicit Reasoning within Large Vision Language Models
Ashish Seth, Dinesh Manocha, Chirag Agarwal
Learning to vary: Teaching LMs to reproduce human linguistic variability in next-word prediction
Tobias Groot, Salo Lacunes, Evgenia Ilia
Asking a Language Model for Diverse Responses
Sergey Troshin, Irina Saparina, Antske Fokkens et al.
The Benefits of Being Uncertain: Perplexity as a Signal for Naturalness in Multilingual Machine Translation
Timothy Pistotti, Michael J. Witbrock, Dr Padriac Amato Tahua O’Leary et al.
The Geometry of Creative Variability: How Credal Sets Expose Calibration Gaps in Language Models
Esteban Garces Arias, Julian Rodemann, Christian Heumann
Do Large Language Models Know When Not to Answer in Medical QA?
Sravanthi Machcha, Sushrita Yerra, Sharmin Sultana et al.
Beyond Human Judgment: A Bayesian Evaluation of LLMs’ Moral Values Understanding
Maciej Skorski, Alina Landowska
Uncertainty-driven Partial Diacritization for Arabic Text
Humaid Ali Alblooshi, Artem Shelmanov, Hanan Aldarmaki
Know-AI at TSAR 2025 Shared Task Difficulty-aware Text Simplification System
Yiheng Wu, Anisia Katinskaia, Jue Hou et al.
HOPE at TSAR 2025 Shared Task Balancing Control and Complexity in Readability-Controlled Text Simplification
Sujal Maharjan, Astha Shrestha
Archaeology at TSAR 2025 Shared Task Teaching Small Models to do CEFR Simplifications
Rareş-Alexandru Roşcan, Sergiu Nisioi
SQUREL at TSAR 2025 Shared Task CEFR-Controlled Text Simplification with Prompting and Reinforcement Fine-Tuning
Daria Sokova, Anastasiia Bezobrazova, Constantin Orasan