Saved in:
| Main Authors: | Chen, Zizhang, Li, Peizhao, Dong, Xiaomeng, Hong, Pengyu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.03497 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Question Rephrasing for Quantifying Uncertainty in Large Language Models: Applications in Molecular Chemistry Tasks
by: Chen, Zizhang, et al.
Published: (2024)
by: Chen, Zizhang, et al.
Published: (2024)
Uncertainty Quantification for Large Language Diffusion Models
by: Vazhentsev, Artem, et al.
Published: (2026)
by: Vazhentsev, Artem, et al.
Published: (2026)
Uncertainty Quantification for In-Context Learning of Large Language Models
by: Ling, Chen, et al.
Published: (2024)
by: Ling, Chen, et al.
Published: (2024)
Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey
by: Liu, Xiaoou, et al.
Published: (2025)
by: Liu, Xiaoou, et al.
Published: (2025)
Evaluating Uncertainty Quantification Methods in Argumentative Large Language Models
by: Zhou, Kevin, et al.
Published: (2025)
by: Zhou, Kevin, et al.
Published: (2025)
Multimodal Clinical Trial Outcome Prediction with Large Language Models
by: Zheng, Wenhao, et al.
Published: (2024)
by: Zheng, Wenhao, et al.
Published: (2024)
Uncertainty Quantification of Large Language Models through Multi-Dimensional Responses
by: Chen, Tiejin, et al.
Published: (2025)
by: Chen, Tiejin, et al.
Published: (2025)
COPU: Conformal Prediction for Uncertainty Quantification in Natural Language Generation
by: Wang, Sean, et al.
Published: (2025)
by: Wang, Sean, et al.
Published: (2025)
Reverse Probing: Supervised Token-level Uncertainty Quantification for Large Language Models in Clinical Text
by: Xiao, Bushi, et al.
Published: (2026)
by: Xiao, Bushi, et al.
Published: (2026)
Language Model Uncertainty Quantification with Attention Chain
by: Li, Yinghao, et al.
Published: (2025)
by: Li, Yinghao, et al.
Published: (2025)
SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models
by: Gao, Xiang, et al.
Published: (2024)
by: Gao, Xiang, et al.
Published: (2024)
The Consistency Hypothesis in Uncertainty Quantification for Large Language Models
by: Xiao, Quan, et al.
Published: (2025)
by: Xiao, Quan, et al.
Published: (2025)
Prompt-Dependent Ranking of Large Language Models with Uncertainty Quantification
by: Menendez, Angel Rodrigo Avelar, et al.
Published: (2026)
by: Menendez, Angel Rodrigo Avelar, et al.
Published: (2026)
Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph
by: Vashurin, Roman, et al.
Published: (2024)
by: Vashurin, Roman, et al.
Published: (2024)
Uncertainty Quantification in Large Language Models Through Convex Hull Analysis
by: Catak, Ferhat Ozgur, et al.
Published: (2024)
by: Catak, Ferhat Ozgur, et al.
Published: (2024)
Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models
by: Lin, Zhen, et al.
Published: (2023)
by: Lin, Zhen, et al.
Published: (2023)
LIMP: Large Language Model Enhanced Intent-aware Mobility Prediction
by: Li, Songwei, et al.
Published: (2024)
by: Li, Songwei, et al.
Published: (2024)
Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
by: Duan, Jinhao, et al.
Published: (2023)
by: Duan, Jinhao, et al.
Published: (2023)
Uncertainty Quantification for Hallucination Detection in Large Language Models: Foundations, Methodology, and Future Directions
by: Kang, Sungmin, et al.
Published: (2025)
by: Kang, Sungmin, et al.
Published: (2025)
ESI: Epistemic Uncertainty Quantification via Semantic-preserving Intervention for Large Language Models
by: Li, Mingda, et al.
Published: (2025)
by: Li, Mingda, et al.
Published: (2025)
SIMBA UQ: Similarity-Based Aggregation for Uncertainty Quantification in Large Language Models
by: Bhattacharjya, Debarun, et al.
Published: (2025)
by: Bhattacharjya, Debarun, et al.
Published: (2025)
Recurrent Confidence Chain: Temporal-Aware Uncertainty Quantification in Large Language Models
by: Mao, Zhenjiang, et al.
Published: (2026)
by: Mao, Zhenjiang, et al.
Published: (2026)
Quantification of Large Language Model Distillation
by: Lee, Sunbowen, et al.
Published: (2025)
by: Lee, Sunbowen, et al.
Published: (2025)
Improving Uncertainty Quantification in Large Language Models via Semantic Embeddings
by: Grewal, Yashvir S., et al.
Published: (2024)
by: Grewal, Yashvir S., et al.
Published: (2024)
Semantic Token Clustering for Efficient Uncertainty Quantification in Large Language Models
by: Cao, Qi, et al.
Published: (2026)
by: Cao, Qi, et al.
Published: (2026)
UQLM: A Python Package for Uncertainty Quantification in Large Language Models
by: Bouchard, Dylan, et al.
Published: (2025)
by: Bouchard, Dylan, et al.
Published: (2025)
Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models
by: Vazhentsev, Artem, et al.
Published: (2025)
by: Vazhentsev, Artem, et al.
Published: (2025)
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
by: Fadeeva, Ekaterina, et al.
Published: (2024)
by: Fadeeva, Ekaterina, et al.
Published: (2024)
Trustworthy Summarization via Uncertainty Quantification and Risk Awareness in Large Language Models
by: Pan, Shuaidong, et al.
Published: (2025)
by: Pan, Shuaidong, et al.
Published: (2025)
IUQ: Interrogative Uncertainty Quantification for Long-Form Large Language Model Generation
by: Fan, Haozhi, et al.
Published: (2026)
by: Fan, Haozhi, et al.
Published: (2026)
URAG: A Benchmark for Uncertainty Quantification in Retrieval-Augmented Large Language Models
by: Nguyen, Vinh, et al.
Published: (2026)
by: Nguyen, Vinh, et al.
Published: (2026)
Will Large Language Models Transform Clinical Prediction?
by: Yildiz, Yusuf, et al.
Published: (2025)
by: Yildiz, Yusuf, et al.
Published: (2025)
Uncertainty Quantification for Multimodal Large Language Models with Incoherence-adjusted Semantic Volume
by: Lau, Gregory Kang Ruey, et al.
Published: (2026)
by: Lau, Gregory Kang Ruey, et al.
Published: (2026)
Semantic Density: Uncertainty Quantification for Large Language Models through Confidence Measurement in Semantic Space
by: Qiu, Xin, et al.
Published: (2024)
by: Qiu, Xin, et al.
Published: (2024)
CURA: Clinical Uncertainty Risk Alignment for Language Model-Based Risk Prediction
by: Wang, Sizhe, et al.
Published: (2026)
by: Wang, Sizhe, et al.
Published: (2026)
Replacing Language Model for Style Transfer
by: Cheng, Pengyu, et al.
Published: (2022)
by: Cheng, Pengyu, et al.
Published: (2022)
Robust Uncertainty Quantification for Factual Generation of Large Language Models
by: Zhang, Yuhao, et al.
Published: (2026)
by: Zhang, Yuhao, et al.
Published: (2026)
Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models
by: Song, Haoyi, et al.
Published: (2025)
by: Song, Haoyi, et al.
Published: (2025)
A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions
by: Shorinwa, Ola, et al.
Published: (2024)
by: Shorinwa, Ola, et al.
Published: (2024)
SeSE: Black-Box Uncertainty Quantification for Large Language Models Based on Structural Information Theory
by: Zhao, Xingtao, et al.
Published: (2025)
by: Zhao, Xingtao, et al.
Published: (2025)
Similar Items
-
Question Rephrasing for Quantifying Uncertainty in Large Language Models: Applications in Molecular Chemistry Tasks
by: Chen, Zizhang, et al.
Published: (2024) -
Uncertainty Quantification for Large Language Diffusion Models
by: Vazhentsev, Artem, et al.
Published: (2026) -
Uncertainty Quantification for In-Context Learning of Large Language Models
by: Ling, Chen, et al.
Published: (2024) -
Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey
by: Liu, Xiaoou, et al.
Published: (2025) -
Evaluating Uncertainty Quantification Methods in Argumentative Large Language Models
by: Zhou, Kevin, et al.
Published: (2025)