Early Stopping for Large Reasoning Models via Confidence Dynamics
Fuente:
arXiv
Saved in:
| Main Authors: | Hosseini, Parsa, Nawathe, Sumit, Salmani, Mahdi, Razaviyayn, Meisam, Feizi, Soheil |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Chain-of-Defensive-Thought: Structured Reasoning Elicits Robustness in Large Language Models against Reference Corruption
by: Wang, Wenxiao, et al.
Published: (2025)
by: Wang, Wenxiao, et al.
Published: (2025)
SpurLens: Automatic Detection of Spurious Cues in Multimodal LLMs
by: Hosseini, Parsa, et al.
Published: (2025)
by: Hosseini, Parsa, et al.
Published: (2025)
Sampling and Loss Weights in Multi-Domain Training
by: Salmani, Mahdi, et al.
Published: (2025)
by: Salmani, Mahdi, et al.
Published: (2025)
Off-the-Shelf LLMs as Process Scorers: Training-Free Alternative to PRMs for Mathematical Reasoning
by: Chegini, Atoosa, et al.
Published: (2026)
by: Chegini, Atoosa, et al.
Published: (2026)
Schoenfeld's Anatomy of Mathematical Reasoning by Language Models
by: Li, Ming, et al.
Published: (2025)
by: Li, Ming, et al.
Published: (2025)
Almost AI, Almost Human: The Challenge of Detecting AI-Polished Writing
by: Saha, Shoumik, et al.
Published: (2025)
by: Saha, Shoumik, et al.
Published: (2025)
Tool Preferences in Agentic LLMs are Unreliable
by: Faghih, Kazem, et al.
Published: (2025)
by: Faghih, Kazem, et al.
Published: (2025)
Maestro: Joint Graph & Config Optimization for Reliable AI Agents
by: Wang, Wenxiao, et al.
Published: (2025)
by: Wang, Wenxiao, et al.
Published: (2025)
TERMINATOR: Learning Optimal Exit Points for Early Stopping in Chain-of-Thought Reasoning
by: Nagle, Alliot, et al.
Published: (2026)
by: Nagle, Alliot, et al.
Published: (2026)
Differentially Private Next-Token Prediction of Large Language Models
by: Flemings, James, et al.
Published: (2024)
by: Flemings, James, et al.
Published: (2024)
Can AI-Generated Text be Reliably Detected?
by: Sadasivan, Vinu Sankar, et al.
Published: (2023)
by: Sadasivan, Vinu Sankar, et al.
Published: (2023)
LYNX: Learning Dynamic Exits for Confidence-Controlled Reasoning
by: Akgül, Ömer Faruk, et al.
Published: (2025)
by: Akgül, Ömer Faruk, et al.
Published: (2025)
CARE-RFT: Confidence-Anchored Reinforcement Finetuning for Reliable Reasoning in Large Language Models
by: Li, Shuozhe, et al.
Published: (2026)
by: Li, Shuozhe, et al.
Published: (2026)
Large Language Model Confidence Estimation via Black-Box Access
by: Pedapati, Tejaswini, et al.
Published: (2024)
by: Pedapati, Tejaswini, et al.
Published: (2024)
Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models
by: Kumar, Abhishek, et al.
Published: (2024)
by: Kumar, Abhishek, et al.
Published: (2024)
Balcony: A Lightweight Approach to Dynamic Inference of Generative Language Models
by: Jamialahmadi, Benyamin, et al.
Published: (2025)
by: Jamialahmadi, Benyamin, et al.
Published: (2025)
Synthetic Text Generation for Training Large Language Models via Gradient Matching
by: Nguyen, Dang, et al.
Published: (2025)
by: Nguyen, Dang, et al.
Published: (2025)
Dynamic Thinking-Token Selection for Efficient Reasoning in Large Reasoning Models
by: Guo, Zhenyuan, et al.
Published: (2026)
by: Guo, Zhenyuan, et al.
Published: (2026)
AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence
by: Liu, Yuliang, et al.
Published: (2025)
by: Liu, Yuliang, et al.
Published: (2025)
Confidence-Modulated Speculative Decoding for Large Language Models
by: Sen, Jaydip, et al.
Published: (2025)
by: Sen, Jaydip, et al.
Published: (2025)
Stop Taking Tokenizers for Granted: They Are Core Design Decisions in Large Language Models
by: Alqahtani, Sawsan, et al.
Published: (2026)
by: Alqahtani, Sawsan, et al.
Published: (2026)
Catching rationalization in the act: detecting motivated reasoning before and after CoT via activation probing
by: Mirtaheri, Parsa, et al.
Published: (2026)
by: Mirtaheri, Parsa, et al.
Published: (2026)
SLaNC: Static LayerNorm Calibration
by: Salmani, Mahsa, et al.
Published: (2024)
by: Salmani, Mahsa, et al.
Published: (2024)
Certifying LLM Safety against Adversarial Prompting
by: Kumar, Aounon, et al.
Published: (2023)
by: Kumar, Aounon, et al.
Published: (2023)
Representational Curvature Modulates Behavioral Uncertainty in Large Language Models
by: King, Jack, et al.
Published: (2026)
by: King, Jack, et al.
Published: (2026)
GHOST: Hallucination-Inducing Image Generation for Multimodal LLMs
by: Parast, Aryan Yazdan, et al.
Published: (2025)
by: Parast, Aryan Yazdan, et al.
Published: (2025)
Steering Large Reasoning Models towards Concise Reasoning via Flow Matching
by: Li, Yawei, et al.
Published: (2026)
by: Li, Yawei, et al.
Published: (2026)
DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks
by: Zhu, Kaijie, et al.
Published: (2023)
by: Zhu, Kaijie, et al.
Published: (2023)
Efficient Reasoning for Large Reasoning Language Models via Certainty-Guided Reflection Suppression
by: Huang, Jiameng, et al.
Published: (2025)
by: Huang, Jiameng, et al.
Published: (2025)
Mitigating Hallucinations in Large Language Models via Causal Reasoning
by: Li, Yuangang, et al.
Published: (2025)
by: Li, Yuangang, et al.
Published: (2025)
Mitigating Overthinking in Large Reasoning Models via Manifold Steering
by: Huang, Yao, et al.
Published: (2025)
by: Huang, Yao, et al.
Published: (2025)
It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization
by: Behrouz, Ali, et al.
Published: (2025)
by: Behrouz, Ali, et al.
Published: (2025)
Nested Learning: The Illusion of Deep Learning Architectures
by: Behrouz, Ali, et al.
Published: (2025)
by: Behrouz, Ali, et al.
Published: (2025)
ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning
by: Qiao, Ziqing, et al.
Published: (2025)
by: Qiao, Ziqing, et al.
Published: (2025)
Efficient Mathematical Reasoning Models via Dynamic Pruning and Knowledge Distillation
by: Yu, Fengming, et al.
Published: (2025)
by: Yu, Fengming, et al.
Published: (2025)
NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes
by: Fan, Lizhou, et al.
Published: (2023)
by: Fan, Lizhou, et al.
Published: (2023)
DTS: Enhancing Large Reasoning Models via Decoding Tree Sketching
by: Xu, Zicheng, et al.
Published: (2025)
by: Xu, Zicheng, et al.
Published: (2025)
Improving Reasoning Performance in Large Language Models via Representation Engineering
by: Højer, Bertram, et al.
Published: (2025)
by: Højer, Bertram, et al.
Published: (2025)
SpecExit: Accelerating Large Reasoning Model via Speculative Exit
by: Yang, Rubing, et al.
Published: (2025)
by: Yang, Rubing, et al.
Published: (2025)
POSIX: A Prompt Sensitivity Index For Large Language Models
by: Chatterjee, Anwoy, et al.
Published: (2024)
by: Chatterjee, Anwoy, et al.
Published: (2024)
Similar Items
-
Chain-of-Defensive-Thought: Structured Reasoning Elicits Robustness in Large Language Models against Reference Corruption
by: Wang, Wenxiao, et al.
Published: (2025) -
SpurLens: Automatic Detection of Spurious Cues in Multimodal LLMs
by: Hosseini, Parsa, et al.
Published: (2025) -
Sampling and Loss Weights in Multi-Domain Training
by: Salmani, Mahdi, et al.
Published: (2025) -
Off-the-Shelf LLMs as Process Scorers: Training-Free Alternative to PRMs for Mathematical Reasoning
by: Chegini, Atoosa, et al.
Published: (2026) -
Schoenfeld's Anatomy of Mathematical Reasoning by Language Models
by: Li, Ming, et al.
Published: (2025)