:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Eikema, Bryan, Ilia, Evgenia, de Souza, José G. C., Zerva, Chrysoula, Aziz, Wilker
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2510.12587
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Variability Need Not Imply Error: The Case of Adequate but Semantically Distinct Responses
by: Ilia, Evgenia, et al.
Published: (2024)

Predict the Next Word: Humans exhibit uncertainty in this task and language models _____
by: Ilia, Evgenia, et al.
Published: (2024)

A Conformal Risk Control Framework for Granular Word Assessment and Uncertainty Calibration of CLIPScore Quality Estimates
by: Gomes, Gonçalo, et al.
Published: (2025)

Unlocking Latent Discourse Translation in LLMs Through Quality-Aware Decoding
by: Mohammed, Wafaa, et al.
Published: (2025)

Non-Exchangeable Conformal Language Generation with Nearest Neighbors
by: Ulmer, Dennis, et al.
Published: (2024)

Evaluation of Multilingual Image Captioning: How far can we get with CLIP models?
by: Gomes, Gonçalo, et al.
Published: (2025)

Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?
by: Yona, Gal, et al.
Published: (2024)

Structure-Conditional Minimum Bayes Risk Decoding
by: Eikema, Bryan, et al.
Published: (2025)

SemEval-2026 Task 6: CLARITY -- Unmasking Political Question Evasions
by: Thomas, Konstantinos, et al.
Published: (2026)

"I Never Said That": A dataset, taxonomy and baselines on response clarity classification
by: Thomas, Konstantinos, et al.
Published: (2024)

Uncertainty Distillation: Teaching Language Models to Express Semantic Confidence
by: Hager, Sophia, et al.
Published: (2025)

GAMBIT+: A Challenge Set for Evaluating Gender Bias in Machine Translation Quality Estimation Metrics
by: Filandrianos, Giorgos, et al.
Published: (2025)

Conformal Prediction for Natural Language Processing: A Survey
by: Campos, Margarida M., et al.
Published: (2024)

Rejected Dialects: Biases Against African American Language in Reward Models
by: Mire, Joel, et al.
Published: (2025)

Learning to vary: Teaching LMs to reproduce human linguistic variability in next-word prediction
by: Groot, Tobias, et al.
Published: (2025)

Findings of the WMT 2024 Shared Task on Chat Translation
by: Mohammed, Wafaa, et al.
Published: (2024)

Truthful or Fabricated? Using Causal Attribution to Mitigate Reward Hacking in Explanations
by: Ferreira, Pedro, et al.
Published: (2025)

Explanation Regularisation through the Lens of Attributions
by: Ferreira, Pedro, et al.
Published: (2024)

MedPath: Multi-Domain Cross-Vocabulary Hierarchical Paths for Biomedical Entity Linking
by: Mishra, Nishant, et al.
Published: (2025)

Interpreting Predictive Probabilities: Model Confidence or Human Label Variation?
by: Baan, Joris, et al.
Published: (2024)

Counterfactual Fairness with Graph Uncertainty
by: Valério, Davi, et al.
Published: (2026)

MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs
by: Liu, Gabrielle Kaili-May, et al.
Published: (2025)

Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs
by: Xiong, Miao, et al.
Published: (2023)

Clarify, Abstain or Answer? Strategising in Conversation with Belief-Augmented Generation
by: Baan, Joris, et al.
Published: (2026)

Can Large Language Models Express Uncertainty Like Human?
by: Tao, Linwei, et al.
Published: (2025)

Teaching Large Language Models to Express Knowledge Boundary from Their Own Signals
by: Chen, Lida, et al.
Published: (2024)

Relying on the Unreliable: The Impact of Language Models' Reluctance to Express Uncertainty
by: Zhou, Kaitlyn, et al.
Published: (2024)

ConfTuner: Training Large Language Models to Express Their Confidence Verbally
by: Li, Yibo, et al.
Published: (2025)

Reasoning or Pattern Matching? Probing Large Vision-Language Models with Visual Puzzles
by: Lymperaiou, Maria, et al.
Published: (2026)

Mapping Faithful Reasoning in Language Models
by: Li, Jiazheng, et al.
Published: (2025)

LLMs Should Express Uncertainty Explicitly
by: Guo, Junyu, et al.
Published: (2026)

How Confident are Video Models? Empowering Video Models to Express their Uncertainty
by: Mei, Zhiting, et al.
Published: (2025)

Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning
by: Si, Shuzheng, et al.
Published: (2025)

Words or Vision: Do Vision-Language Models Have Blind Faith in Text?
by: Deng, Ailin, et al.
Published: (2025)

Leveraging Open-Source Large Language Models for Native Language Identification
by: Ng, Yee Man, et al.
Published: (2024)

FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering
by: Sui, Yuan, et al.
Published: (2024)

Subjective Logic Encodings
by: Vasilakes, Jake, et al.
Published: (2025)

Learned but Not Expressed: Capability-Expression Dissociation in Large Language Models
by: Shigemura, Toshiyuki
Published: (2026)

FaithLM: Towards Faithful Explanations for Large Language Models
by: Chuang, Yu-Neng, et al.
Published: (2024)

FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge
by: Yang, Nakyeong, et al.
Published: (2025)