Thinking with Nothinking Calibration: A New In-Context Learning Paradigm in Reasoning Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Wu, Haotian, Xu, Bo, Shu, Yao, Yang, Menglin, Qin, Chengwei |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Implicit Reasoning in Large Language Models: A Comprehensive Survey
by: Li, Jindong, et al.
Published: (2025)
by: Li, Jindong, et al.
Published: (2025)
ACE-Merging: Data-Free Model Merging with Adaptive Covariance Estimation
by: Xu, Bo, et al.
Published: (2026)
by: Xu, Bo, et al.
Published: (2026)
DRQA: Dynamic Reasoning Quota Allocation for Controlling Overthinking in Reasoning Large Language Models
by: Yan, Kaiwen, et al.
Published: (2025)
by: Yan, Kaiwen, et al.
Published: (2025)
Graph Reasoning Paradigm: Structured and Symbolic Reasoning with Topology-Aware Reinforcement Learning for Large Language Models
by: Liu, Runxuan, et al.
Published: (2026)
by: Liu, Runxuan, et al.
Published: (2026)
To Think or Not To Think, That is The Question for Large Reasoning Models in Theory of Mind Tasks
by: Gong, Nanxu, et al.
Published: (2026)
by: Gong, Nanxu, et al.
Published: (2026)
Data Augmentation using Large Language Models: Data Perspectives, Learning Paradigms and Challenges
by: Ding, Bosheng, et al.
Published: (2024)
by: Ding, Bosheng, et al.
Published: (2024)
Self-Reflective Generation at Test Time
by: Mu, Jian, et al.
Published: (2025)
by: Mu, Jian, et al.
Published: (2025)
InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models
by: Yan, Yuchen, et al.
Published: (2025)
by: Yan, Yuchen, et al.
Published: (2025)
Listen Again and Choose the Right Answer: A New Paradigm for Automatic Speech Recognition with Large Language Models
by: Hu, Yuchen, et al.
Published: (2024)
by: Hu, Yuchen, et al.
Published: (2024)
Think Before You Prune: Selective Self-Generated Calibration for Pruning Large Reasoning Models
by: Xiang, Yang, et al.
Published: (2025)
by: Xiang, Yang, et al.
Published: (2025)
CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning
by: Yu, Huimu, et al.
Published: (2024)
by: Yu, Huimu, et al.
Published: (2024)
PSC: Extending Context Window of Large Language Models via Phase Shift Calibration
by: Zhu, Wenqiao, et al.
Published: (2025)
by: Zhu, Wenqiao, et al.
Published: (2025)
Are Large Language Models Effective Knowledge Graph Constructors?
by: Chen, Ruirui, et al.
Published: (2025)
by: Chen, Ruirui, et al.
Published: (2025)
VL-Calibration: Decoupled Confidence Calibration for Large Vision-Language Models Reasoning
by: Xiao, Wenyi, et al.
Published: (2026)
by: Xiao, Wenyi, et al.
Published: (2026)
Theory of Mind in Large Language Models: Assessment and Enhancement
by: Chen, Ruirui, et al.
Published: (2025)
by: Chen, Ruirui, et al.
Published: (2025)
To Think or Not to Think: Exploring the Unthinking Vulnerability in Large Reasoning Models
by: Zhu, Zihao, et al.
Published: (2025)
by: Zhu, Zihao, et al.
Published: (2025)
Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models?
by: Yao, Ben, et al.
Published: (2024)
by: Yao, Ben, et al.
Published: (2024)
Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning
by: Xia, Wenhan, et al.
Published: (2024)
by: Xia, Wenhan, et al.
Published: (2024)
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
by: Sun, Jiashuo, et al.
Published: (2023)
by: Sun, Jiashuo, et al.
Published: (2023)
Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective
by: Yu, Yiyao, et al.
Published: (2025)
by: Yu, Yiyao, et al.
Published: (2025)
Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models
by: Shi, Luohe, et al.
Published: (2024)
by: Shi, Luohe, et al.
Published: (2024)
Logic-of-Thought: Injecting Logic into Contexts for Full Reasoning in Large Language Models
by: Liu, Tongxuan, et al.
Published: (2024)
by: Liu, Tongxuan, et al.
Published: (2024)
Extending Context Window of Large Language Models from a Distributional Perspective
by: Wu, Yingsheng, et al.
Published: (2024)
by: Wu, Yingsheng, et al.
Published: (2024)
Don't Think Twice! Over-Reasoning Impairs Confidence Calibration
by: Lacombe, Romain, et al.
Published: (2025)
by: Lacombe, Romain, et al.
Published: (2025)
Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTS
by: Wu, Jinyang, et al.
Published: (2024)
by: Wu, Jinyang, et al.
Published: (2024)
RuCL: Stratified Rubric-Based Curriculum Learning for Multimodal Large Language Model Reasoning
by: Chen, Yukun, et al.
Published: (2026)
by: Chen, Yukun, et al.
Published: (2026)
On the Thinking-Language Modeling Gap in Large Language Models
by: Liu, Chenxi, et al.
Published: (2025)
by: Liu, Chenxi, et al.
Published: (2025)
TypedThinker: Diversify Large Language Model Reasoning with Typed Thinking
by: Wang, Danqing, et al.
Published: (2024)
by: Wang, Danqing, et al.
Published: (2024)
Distilling Reasoning Ability from Large Language Models with Adaptive Thinking
by: Chen, Xiaoshu, et al.
Published: (2024)
by: Chen, Xiaoshu, et al.
Published: (2024)
Beyond Benchmarking: A New Paradigm for Evaluation and Assessment of Large Language Models
by: Liu, Jin, et al.
Published: (2024)
by: Liu, Jin, et al.
Published: (2024)
In Context Learning and Reasoning for Symbolic Regression with Large Language Models
by: Sharlin, Samiha, et al.
Published: (2024)
by: Sharlin, Samiha, et al.
Published: (2024)
TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models
by: Chu, Zheng, et al.
Published: (2023)
by: Chu, Zheng, et al.
Published: (2023)
In-Context Learning with Iterative Demonstration Selection
by: Qin, Chengwei, et al.
Published: (2023)
by: Qin, Chengwei, et al.
Published: (2023)
A Learning Rate Path Switching Training Paradigm for Version Updates of Large Language Models
by: Wang, Zhihao, et al.
Published: (2024)
by: Wang, Zhihao, et al.
Published: (2024)
When Thinking Backfires: Mechanistic Insights Into Reasoning-Induced Misalignment
by: Yan, Hanqi, et al.
Published: (2025)
by: Yan, Hanqi, et al.
Published: (2025)
FURINA: A Fully Customizable Role-Playing Benchmark via Scalable Multi-Agent Collaboration Pipeline
by: Wu, Haotian, et al.
Published: (2025)
by: Wu, Haotian, et al.
Published: (2025)
AdapThink: Adaptive Thinking Preferences for Reasoning Language Model
by: Wan, Xu, et al.
Published: (2025)
by: Wan, Xu, et al.
Published: (2025)
Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge Reasoning
by: Wang, Jianing, et al.
Published: (2025)
by: Wang, Jianing, et al.
Published: (2025)
Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought
by: Lee, Jooyoung, et al.
Published: (2024)
by: Lee, Jooyoung, et al.
Published: (2024)
Think$^{2}$: Grounded Metacognitive Reasoning in Large Language Models
by: Elenjical, Abraham Paul, et al.
Published: (2026)
by: Elenjical, Abraham Paul, et al.
Published: (2026)
Similar Items
-
Implicit Reasoning in Large Language Models: A Comprehensive Survey
by: Li, Jindong, et al.
Published: (2025) -
ACE-Merging: Data-Free Model Merging with Adaptive Covariance Estimation
by: Xu, Bo, et al.
Published: (2026) -
DRQA: Dynamic Reasoning Quota Allocation for Controlling Overthinking in Reasoning Large Language Models
by: Yan, Kaiwen, et al.
Published: (2025) -
Graph Reasoning Paradigm: Structured and Symbolic Reasoning with Topology-Aware Reinforcement Learning for Large Language Models
by: Liu, Runxuan, et al.
Published: (2026) -
To Think or Not To Think, That is The Question for Large Reasoning Models in Theory of Mind Tasks
by: Gong, Nanxu, et al.
Published: (2026)