Cover Image

PATS: Process-Level Adaptive Thinking Mode Switching

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Yi, Liu, Junxiao, Zhang, Shimao, Chen, Jiajun, Huang, Shujian
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Process-based Self-Rewarding Language Models
by: Zhang, Shimao, et al.
Published: (2025)

R-PRM: Reasoning-Driven Process Reward Modeling
by: She, Shuaijie, et al.
Published: (2025)

EDT: Improving Large Language Models' Generation by Entropy-based Dynamic Temperature Sampling
by: Zhang, Shimao, et al.
Published: (2024)

When to Continue Thinking: Adaptive Thinking Mode Switching for Efficient Reasoning
by: Zhang, Xiaoyun, et al.
Published: (2025)

How Does Alignment Enhance LLMs' Multilingual Capabilities? A Language Neurons Perspective
by: Zhang, Shimao, et al.
Published: (2025)

Getting More from Less: Large Language Models are Good Spontaneous Multilingual Learners
by: Zhang, Shimao, et al.
Published: (2024)

ExpLang: Improved Exploration and Exploitation in LLM Reasoning with On-Policy Thinking Language Selection
by: Gao, Changjiang, et al.
Published: (2026)

Extend Adversarial Policy Against Neural Machine Translation via Unknown Token
by: Zou, Wei, et al.
Published: (2025)

MixReasoning: Switching Modes to Think
by: Lu, Haiquan, et al.
Published: (2025)

Formality is Favored: Unraveling the Learning Preferences of Large Language Models on Data with Conflicting Knowledge
by: Li, Jiahuan, et al.
Published: (2024)

MT-PATCHER: Selective and Extendable Knowledge Distillation from Large Language Models for Machine Translation
by: Li, Jiahuan, et al.
Published: (2024)

Multi-Candidate Speculative Decoding
by: Yang, Sen, et al.
Published: (2024)

TAPO: Translation Augmented Policy Optimization for Multilingual Mathematical Reasoning
by: Huang, Xu, et al.
Published: (2026)

Exploring the Factual Consistency in Dialogue Comprehension of Large Language Models
by: She, Shuaijie, et al.
Published: (2023)

Measuring Meaning Composition in the Human Brain with Composition Scores from Large Language Models
by: Gao, Changjiang, et al.
Published: (2024)

Could Thinking Multilingually Empower LLM Reasoning?
by: Gao, Changjiang, et al.
Published: (2025)

Alleviating Distribution Shift in Synthetic Data for Machine Translation Quality Estimation
by: Geng, Xiang, et al.
Published: (2025)

PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual Alignment
by: Li, Jiahuan, et al.
Published: (2024)

Large Language Models are Limited in Out-of-Context Knowledge Reasoning
by: Hu, Peng, et al.
Published: (2024)

Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions
by: Li, Jiahuan, et al.
Published: (2023)

PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors
by: Rooein, Donya, et al.
Published: (2026)

Improved Paraphrase Generation via Controllable Latent Diffusion
by: Zou, Wei, et al.
Published: (2024)

Multilingual Contrastive Decoding via Language-Agnostic Layers Skipping
by: Zhu, Wenhao, et al.
Published: (2024)

Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation
by: Huang, Xu, et al.
Published: (2024)

Cobra Effect in Reference-Free Image Captioning Metrics
by: Ma, Zheng, et al.
Published: (2024)

The Power of Question Translation Training in Multilingual Reasoning: Broadened Scope and Deepened Insights
by: Zhu, Wenhao, et al.
Published: (2024)

Can LLMs Think Like Consumers? Benchmarking Crowd-Level Reaction Reconstruction with ConsumerSimBench
by: Wang, Tianyu, et al.
Published: (2026)

Trans-Zero: Self-Play Incentivizes Large Language Models for Multilingual Translation Without Parallel Data
by: Zou, Wei, et al.
Published: (2025)

EnAnchored-X2X: English-Anchored Optimization for Many-to-Many Translation
by: Yang, Sen, et al.
Published: (2025)

Multilingual Pretraining and Instruction Tuning Improve Cross-Lingual Knowledge Alignment, But Only Shallowly
by: Gao, Changjiang, et al.
Published: (2024)

Question Translation Training for Better Multilingual Reasoning
by: Zhu, Wenhao, et al.
Published: (2024)

Self-Improving Multilingual Long Reasoning via Translation-Reasoning Integrated Training
by: Liu, Junxiao, et al.
Published: (2026)

MAPO: Advancing Multilingual Reasoning through Multilingual Alignment-as-Preference Optimization
by: She, Shuaijie, et al.
Published: (2024)

SDGO: Self-Discrimination-Guided Optimization for Consistent Safety in Large Language Models
by: Ding, Peng, et al.
Published: (2025)

Why Not Act on What You Know? Unleashing Safety Potential of LLMs via Self-Aware Guard Enhancement
by: Ding, Peng, et al.
Published: (2025)

Diver: Large Language Model Decoding with Span-Level Mutual Information Verification
by: Lu, Jinliang, et al.
Published: (2024)

Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking
by: Chen, Yilong, et al.
Published: (2025)

Investigating and Scaling up Code-Switching for Multilingual Language Model Pre-Training
by: Wang, Zhijun, et al.
Published: (2025)

A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily
by: Ding, Peng, et al.
Published: (2023)

Demystifying Hybrid Thinking: Can LLMs Truly Switch Between Think and No-Think?
by: Wang, Shouren, et al.
Published: (2025)