ICLR 2025 Workshop QUESTION Submissions

Uncertainty Quantification for MLLMs
Gregory Kang Ruey Lau, Hieu Dao, Bryan Kian Hsiang Low
- Published: 05 Mar 2025, Last Modified: 01 Apr 2025
- QUESTION Poster
- Readers: Everyone
Uncertainty-Aware Step-wise Verification with Generative Reward Models
Zihuiwen Ye, Luckeciano Carvalho Melo, Younesse Kaddar, Phil Blunsom, Sam Staton, Yarin Gal
- Published: 05 Mar 2025, Last Modified: 01 Apr 2025
- QUESTION Poster
- Readers: Everyone
Understanding the Relationship between Prompts and Response Uncertainty in Large Language Models
Ze Yu Zhang, Arun Verma, Finale Doshi-Velez, Bryan Kian Hsiang Low
- Published: 05 Mar 2025, Last Modified: 02 Apr 2025
- QUESTION Poster
- Readers: Everyone
Generative Uncertainty in Diffusion Models
Metod Jazbec, Eliot Wong-Toi, Guoxuan Xia, Dan Zhang, Eric Nalisnick, Stephan Mandt
- Published: 05 Mar 2025, Last Modified: 05 Mar 2025
- QUESTION Poster
- Readers: Everyone
TINY: Rethinking Selection Bias in LLMs: Quantification and Mitigation using Efficient Majority Voting
Blessed Guda, Lawrence Francis, Gabrial Zencha Ashungafac, Carlee Joe-Wong, Moise Busogi
- Published: 05 Mar 2025, Last Modified: 01 Apr 2025
- QUESTION Poster
- Readers: Everyone
OUTLIER-AWARE PREFERENCE OPTIMIZATION FOR LARGE LANGUAGE MODELS
Pragya Srivastava, Sai Soumya Nalli, Amit Deshpande, Amit Sharma
- Published: 05 Mar 2025, Last Modified: 01 Apr 2025
- QUESTION Poster
- Readers: Everyone
Conformal Structured Prediction
Botong Zhang, Shuo Li, Osbert Bastani
- Published: 05 Mar 2025, Last Modified: 01 Apr 2025
- QUESTION Poster
- Readers: Everyone
Detecting Unreliable Responses in Generative Vision-Language Models via Visual Uncertainty
Kiana Avestimehr, Emily Aye, Zalan Fabian, Erum Mushtaq
- Published: 05 Mar 2025, Last Modified: 01 Apr 2025
- QUESTION Poster
- Readers: Everyone
[TINY] Building Bridges of Thought: Using the Power of Association to Inspire Creativity in Large Language Models
Fang-Yi Su, Ching Chieh Tsao, Jung-Hsien Chiang
- Published: 05 Mar 2025, Last Modified: 05 Mar 2025
- QUESTION Poster
- Readers: Everyone
Prune 'n Predict: Optimizing LLM Decision-making with Conformal Prediction
Harit Vishwakarma, Alan Mishler, Thomas Cook, Niccolo Dalmasso, Natraj Raman, Sumitra Ganesh
- Published: 05 Mar 2025, Last Modified: 05 Mar 2025
- QUESTION Poster
- Readers: Everyone
Can Your Uncertainty Scores Detect Hallucinated Entity?
Min-Hsuan Yeh, Max Kamachee, Seongheon Park, Yixuan Li
- Published: 05 Mar 2025, Last Modified: 23 Mar 2025
- QUESTION Poster
- Readers: Everyone
Predictive Inference Is Really Free with In-Context Learning
Sohom Mukherjee, Ivane Antonov, Kai Günder, Magnus Josef Maichle
- Published: 05 Mar 2025, Last Modified: 19 Mar 2025
- QUESTION Poster
- Readers: Everyone
[TINY] Vision language models can implicitly quantify aleatoric uncertainty
Xi Wang, Eric Nalisnick
- Published: 05 Mar 2025, Last Modified: 10 Mar 2025
- QUESTION Poster
- Readers: Everyone
Understanding the Sources of Uncertainty for Large Language and Multimodal Models
Ziran Yang, Shibo Hao, Hao Sun, Lai Jiang, Qiyue Gao, Yian Ma, Zhiting Hu
- Published: 05 Mar 2025, Last Modified: 29 Mar 2025
- QUESTION Poster
- Readers: Everyone
TINY: Semantic-based Uncertainty Quantification in LLMS: A Case Study on Medical Explanation Generation Task.
Nicholas Kian Boon Tan, Mehul Motani
- Published: 05 Mar 2025, Last Modified: 31 Mar 2025
- QUESTION Poster
- Readers: Everyone
Assessing Confidence in Large Language Models by Classifying Task Correctness using Similarity Features
Debarun Bhattacharjya, Balaji Ganesan, Junkyu Lee, Radu Marinescu
- Published: 05 Mar 2025, Last Modified: 05 Mar 2025
- QUESTION Poster
- Readers: Everyone
Rethinking Uncertainty Estimation in Natural Language Generation
Lukas Aichberger, Kajetan Schweighofer, Sepp Hochreiter
- Published: 05 Mar 2025, Last Modified: 26 Mar 2025
- QUESTION Poster
- Readers: Everyone
Addressing Pitfalls in the Evaluation of Uncertainty Estimation Methods for Natural Language Generation
Mykyta Ielanskyi, Kajetan Schweighofer, Lukas Aichberger, Sepp Hochreiter
- Published: 05 Mar 2025, Last Modified: 31 Mar 2025
- QUESTION Poster
- Readers: Everyone
Sample-Focused Approach for Robust Uncertainty Quantification in LLMs
Roman Vashurin, Maiya Goloburda, Preslav Nakov, Artem Shelmanov, Maxim Panov
- Published: 05 Mar 2025, Last Modified: 29 Mar 2025
- QUESTION Poster
- Readers: Everyone
Towards Lighter and Robust Evaluation for Retrieval Augmented Generation
Alex-Răzvan Ispas, Charles-Elie Simon, Fabien Caspani, Vincent Guigue
- Published: 05 Mar 2025, Last Modified: 20 Mar 2025
- QUESTION Poster
- Readers: Everyone
Uncertainty quantification in fine-tuned LLMs using LoRA ensembles
Oleksandr Balabanov, Hampus Linander
- Published: 05 Mar 2025, Last Modified: 01 Apr 2025
- QUESTION Poster
- Readers: Everyone
Adaptive Elicitation of Latent Information Using Natural Language
Jimmy Wang, Thomas P Zollo, Richard Zemel, Hongseok Namkoong
- Published: 05 Mar 2025, Last Modified: 12 Mar 2025
- QUESTION Poster
- Readers: Everyone
Learning on LLM Output Signatures for Gray Box LLM Behavior Analysis
Guy Bar-Shalom, Fabrizio Frasca, Derek Lim, Yoav Gelberg, Yftah Ziser, Ran El-Yaniv, Gal Chechik, Haggai Maron
- Published: 05 Mar 2025, Last Modified: 31 Mar 2025
- QUESTION Poster
- Readers: Everyone
Semantic-Level Confidence Calibration of Language Models via Temperature Scaling
Tom A. Lamb, Desi R. Ivanova, Philip Torr, Tim G. J. Rudner
- Published: 05 Mar 2025, Last Modified: 31 Mar 2025
- QUESTION Poster
- Readers: Everyone
Scalable Thompson Sampling via Ensemble++
Yingru Li, Jiawei Xu, Baoxiang Wang, Zhi-Quan Luo
- Published: 05 Mar 2025, Last Modified: 05 Mar 2025
- QUESTION Poster
- Readers: Everyone