Cover Image

Show Your Work with Confidence: Confidence Bands for Tuning Curves

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lourie, Nicholas, Cho, Kyunghyun, He, He
Format:	Preprint
Published:	2023
Subjects:	Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hyperparameter Loss Surfaces Are Simple Near their Optima
by: Lourie, Nicholas, et al.
Published: (2025)

Scaling Laws Are Unreliable for Downstream Tasks: A Reality Check
by: Lourie, Nicholas, et al.
Published: (2025)

Neural Neural Scaling Laws
by: Hu, Michael Y., et al.
Published: (2026)

Aioli: A Unified Optimization Framework for Language Model Data Mixing
by: Chen, Mayee F., et al.
Published: (2024)

Does Alignment Tuning Really Break LLMs' Internal Confidence?
by: Oh, Hongseok, et al.
Published: (2024)

Know When You're Wrong: Aligning Confidence with Correctness for LLM Error Detection
by: Xiaohu, Xie, et al.
Published: (2026)

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

Confidence over Time: Confidence Calibration with Temporal Logic for Large Language Model Reasoning
by: Mao, Zhenjiang, et al.
Published: (2026)

Multicalibration for Confidence Scoring in LLMs
by: Detommaso, Gianluca, et al.
Published: (2024)

Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models
by: Li, Pengyi, et al.
Published: (2025)

Entropy-Adaptive Fine-Tuning: Resolving Confident Conflicts to Mitigate Forgetting
by: Diao, Muxi, et al.
Published: (2026)

The Confidence Manifold: Geometric Structure of Correctness Representations in Language Models
by: Cho, Seonglae, et al.
Published: (2026)

Confidence in the Reasoning of Large Language Models
by: Pawitan, Yudi, et al.
Published: (2024)

Are LLM Decisions Faithful to Verbal Confidence?
by: Wang, Jiawei, et al.
Published: (2026)

Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models
by: Kumar, Abhishek, et al.
Published: (2024)

SteerConf: Steering LLMs for Confidence Elicitation
by: Zhou, Ziang, et al.
Published: (2025)

QA-Calibration of Language Model Confidence Scores
by: Manggala, Putra, et al.
Published: (2024)

Confidence Preservation Property in Knowledge Distillation Abstractions
by: Vengertsev, Dmitry, et al.
Published: (2024)

Self-Training Large Language Models with Confident Reasoning
by: Jang, Hyosoon, et al.
Published: (2025)

Process Supervision of Confidence Margin for Calibrated LLM Reasoning
by: Wang, Liaoyaqi, et al.
Published: (2026)

The Confidence Trap: Gender Bias and Predictive Certainty in LLMs
by: Sabir, Ahmed, et al.
Published: (2026)

Confidence Estimation for Error Detection in Text-to-SQL Systems
by: Somov, Oleg, et al.
Published: (2025)

Factual Confidence of LLMs: on Reliability and Robustness of Current Estimators
by: Mahaut, Matéo, et al.
Published: (2024)

On the Relationship Between the Choice of Representation and In-Context Learning
by: Marinescu, Ioana, et al.
Published: (2025)

Efficient semantic uncertainty quantification in language models via diversity-steered sampling
by: Park, Ji Won, et al.
Published: (2025)

Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards
by: Ma, Zhengzhao, et al.
Published: (2026)

Cycles of Thought: Measuring LLM Confidence through Stable Explanations
by: Becker, Evan, et al.
Published: (2024)

FOReCAst: The Future Outcome Reasoning and Confidence Assessment Benchmark
by: Yuan, Zhangdie, et al.
Published: (2025)

Confidence Calibration in Large Language Model-Based Entity Matching
by: Kamsteeg, Iris, et al.
Published: (2025)

From the Inside Out: Progressive Distribution Refinement for Confidence Calibration
by: Yang, Xizhong, et al.
Published: (2026)

Confidence Regulation Neurons in Language Models
by: Stolfo, Alessandro, et al.
Published: (2024)

Learning to Route LLMs with Confidence Tokens
by: Chuang, Yu-Neng, et al.
Published: (2024)

Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models
by: Lin, Zhen, et al.
Published: (2023)

PCS: Perceived Confidence Scoring of Black Box LLMs with Metamorphic Relations
by: Salimian, Sina, et al.
Published: (2025)

Using Source-Side Confidence Estimation for Reliable Translation into Unfamiliar Languages
by: Sible, Kenneth J., et al.
Published: (2025)

ConfClip: Confidence-Weighted and Clipped Reward for Reinforcement Learning in LLMs
by: Zhang, Bonan, et al.
Published: (2025)

ORCE: Order-Aware Alignment of Verbalized Confidence in Large Language Models
by: Li, Chen, et al.
Published: (2026)

Self-ensemble: Mitigating Confidence Mis-calibration for Large Language Models
by: Xu, Zicheng, et al.
Published: (2025)

How do LLMs Compute Verbal Confidence
by: Kumaran, Dharshan, et al.
Published: (2026)

Characterizing the Predictive Impact of Modalities with Supervised Latent-Variable Modeling
by: Madaan, Divyam, et al.
Published: (2026)