Statistical Early Stopping for Reasoning Models
Fuente:
arXiv
Saved in:
| Main Authors: | Xie, Yangxinyu, Wang, Tao, Mallick, Soham, Sun, Yan, Noarov, Georgy, Yu, Mengxin, Mallick, Tanwi, Su, Weijie J., Dobriban, Edgar |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Foundations of Top-$k$ Decoding For Language Models
by: Noarov, Georgy, et al.
Published: (2025)
by: Noarov, Georgy, et al.
Published: (2025)
Debiasing Watermarks for Large Language Models via Maximal Coupling
by: Xie, Yangxinyu, et al.
Published: (2024)
by: Xie, Yangxinyu, et al.
Published: (2024)
Statistical Methods in Generative AI
by: Dobriban, Edgar
Published: (2025)
by: Dobriban, Edgar
Published: (2025)
Solving a Research Problem in Mathematical Statistics with AI Assistance
by: Dobriban, Edgar
Published: (2025)
by: Dobriban, Edgar
Published: (2025)
A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners
by: Jiang, Bowen, et al.
Published: (2024)
by: Jiang, Bowen, et al.
Published: (2024)
Wavelet-Inspired Multiscale Graph Convolutional Recurrent Network for Traffic Forecasting
by: Qian, Qipeng, et al.
Published: (2024)
by: Qian, Qipeng, et al.
Published: (2024)
No Test Cases, No Problem: Distillation-Driven Code Generation for Scientific Workflows
by: Raghavan, Siddeshwar, et al.
Published: (2026)
by: Raghavan, Siddeshwar, et al.
Published: (2026)
Uncertainty in Language Models: Assessment through Rank-Calibration
by: Huang, Xinmeng, et al.
Published: (2024)
by: Huang, Xinmeng, et al.
Published: (2024)
SymmPI: Predictive Inference for Data with Group Symmetries
by: Dobriban, Edgar, et al.
Published: (2023)
by: Dobriban, Edgar, et al.
Published: (2023)
Evaluating the Performance of Large Language Models via Debates
by: Moniri, Behrad, et al.
Published: (2024)
by: Moniri, Behrad, et al.
Published: (2024)
PGT-I: Scaling Spatiotemporal GNNs with Memory-Efficient Distributed Training
by: Ockerman, Seth, et al.
Published: (2025)
by: Ockerman, Seth, et al.
Published: (2025)
Early Stopping for Large Reasoning Models via Confidence Dynamics
by: Hosseini, Parsa, et al.
Published: (2026)
by: Hosseini, Parsa, et al.
Published: (2026)
Comparative Evaluation of Prompting and Fine-Tuning for Applying Large Language Models to Grid-Structured Geospatial Data
by: Dhruv, Akash, et al.
Published: (2025)
by: Dhruv, Akash, et al.
Published: (2025)
S2O: Early Stopping for Sparse Attention via Online Permutation
by: Zhang, Yu, et al.
Published: (2026)
by: Zhang, Yu, et al.
Published: (2026)
Towards Rationality in Language and Multimodal Agents: A Survey
by: Jiang, Bowen, et al.
Published: (2024)
by: Jiang, Bowen, et al.
Published: (2024)
ESPO: Early-Stopping Proximal Policy Optimization
by: Li, Zihang, et al.
Published: (2026)
by: Li, Zihang, et al.
Published: (2026)
ProxRouter: Proximity-Weighted LLM Query Routing for Improved Robustness to Outliers
by: Patel, Shivam, et al.
Published: (2025)
by: Patel, Shivam, et al.
Published: (2025)
Efficiently Learning Branching Networks for Multitask Algorithmic Reasoning
by: Li, Dongyue, et al.
Published: (2025)
by: Li, Dongyue, et al.
Published: (2025)
Conformal Information Pursuit for Interactively Guiding Large Language Models
by: Chan, Kwan Ho Ryan, et al.
Published: (2025)
by: Chan, Kwan Ho Ryan, et al.
Published: (2025)
Cardi-GPT: An Expert ECG-Record Processing Chatbot
by: Mallick, Koustav, et al.
Published: (2025)
by: Mallick, Koustav, et al.
Published: (2025)
Rethinking Early Stopping: Refine, Then Calibrate
by: Berta, Eugène, et al.
Published: (2025)
by: Berta, Eugène, et al.
Published: (2025)
Conformal Inference under High-Dimensional Covariate Shifts via Likelihood-Ratio Regularization
by: Joshi, Sunay, et al.
Published: (2025)
by: Joshi, Sunay, et al.
Published: (2025)
Jailbreaking Black Box Large Language Models in Twenty Queries
by: Chao, Patrick, et al.
Published: (2023)
by: Chao, Patrick, et al.
Published: (2023)
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)
Isotropic Curvature Model for Understanding Deep Learning Optimization: Is Gradient Orthogonalization Optimal?
by: Su, Weijie
Published: (2025)
by: Su, Weijie
Published: (2025)
Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search
by: Han, Dongge, et al.
Published: (2025)
by: Han, Dongge, et al.
Published: (2025)
ChatVis: Automating Scientific Visualization with a Large Language Model
by: Mallick, Tanwi, et al.
Published: (2024)
by: Mallick, Tanwi, et al.
Published: (2024)
Beyond High-Entropy Exploration: Correctness-Aware Low-Entropy Segment-Based Advantage Shaping for Reasoning LLMs
by: Chen, Xinzhu, et al.
Published: (2025)
by: Chen, Xinzhu, et al.
Published: (2025)
Don't Waste Your Time: Early Stopping Cross-Validation
by: Bergman, Edward, et al.
Published: (2024)
by: Bergman, Edward, et al.
Published: (2024)
WildfireGPT: Tailored Large Language Model for Wildfire Analysis
by: Xie, Yangxinyu, et al.
Published: (2024)
by: Xie, Yangxinyu, et al.
Published: (2024)
FaithFill: Faithful Inpainting for Object Completion Using a Single Reference Image
by: Mallick, Rupayan, et al.
Published: (2024)
by: Mallick, Rupayan, et al.
Published: (2024)
SCORE: Specificity, Context Utilization, Robustness, and Relevance for Reference-Free LLM Evaluation
by: Shomee, Homaira Huda, et al.
Published: (2026)
by: Shomee, Homaira Huda, et al.
Published: (2026)
Stop Summation: Min-Form Credit Assignment Is All Process Reward Model Needs for Reasoning
by: Cheng, Jie, et al.
Published: (2025)
by: Cheng, Jie, et al.
Published: (2025)
Singleton-Optimized Conformal Prediction
by: Wang, Tao, et al.
Published: (2025)
by: Wang, Tao, et al.
Published: (2025)
MoXGATE: Modality-aware cross-attention for multi-omic gastrointestinal cancer sub-type classification
by: Dip, Sajib Acharjee, et al.
Published: (2025)
by: Dip, Sajib Acharjee, et al.
Published: (2025)
Length-MAX Tokenizer for Language Models
by: Dong, Dong, et al.
Published: (2025)
by: Dong, Dong, et al.
Published: (2025)
Split-on-Share: Mixture of Sparse Experts for Task-Agnostic Continual Learning
by: Siddika, Fatema, et al.
Published: (2026)
by: Siddika, Fatema, et al.
Published: (2026)
LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws
by: Mayilvahanan, Prasanna, et al.
Published: (2025)
by: Mayilvahanan, Prasanna, et al.
Published: (2025)
Bayesian Joint Additive Factor Models for Multiview Learning
by: Anceschi, Niccolo, et al.
Published: (2024)
by: Anceschi, Niccolo, et al.
Published: (2024)
Optimal Scaling Laws for Efficiency Gains in a Theoretical Transformer-Augmented Sectional MoE Framework
by: Sane, Soham
Published: (2025)
by: Sane, Soham
Published: (2025)
Similar Items
-
Foundations of Top-$k$ Decoding For Language Models
by: Noarov, Georgy, et al.
Published: (2025) -
Debiasing Watermarks for Large Language Models via Maximal Coupling
by: Xie, Yangxinyu, et al.
Published: (2024) -
Statistical Methods in Generative AI
by: Dobriban, Edgar
Published: (2025) -
Solving a Research Problem in Mathematical Statistics with AI Assistance
by: Dobriban, Edgar
Published: (2025) -
A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners
by: Jiang, Bowen, et al.
Published: (2024)