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2501.11284
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RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

20 January 2025

ArXiv (abs)PDF HTML

Papers citing "RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?"

26 / 26 papers shown

Logit Arithmetic Elicits Long Reasoning Capabilities Without Training

Logit Arithmetic Elicits Long Reasoning Capabilities Without Training

Muhammad Khalifa

Xinliang Frederick Zhang

Farima Fatahi Bayat

103

4

0

10 Oct 2025

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models

205

5

0

04 Sep 2025

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute

ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute

176

14

0

30 Aug 2025

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens

BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens

161

7

0

24 Aug 2025

Beyond Solving Math Quiz: Evaluating the Ability of Large Reasoning Models to Ask for Information

Beyond Solving Math Quiz: Evaluating the Ability of Large Reasoning Models to Ask for Information

208

0

0

15 Aug 2025

From "Aha Moments" to Controllable Thinking: Toward Meta-Cognitive Reasoning in Large Reasoning Models via Decoupled Reasoning and Control

From "Aha Moments" to Controllable Thinking: Toward Meta-Cognitive Reasoning in Large Reasoning Models via Decoupled Reasoning and Control

101

1

0

06 Aug 2025

Can One Domain Help Others? A Data-Centric Study on Multi-Domain Reasoning via Reinforcement Learning

Can One Domain Help Others? A Data-Centric Study on Multi-Domain Reasoning via Reinforcement Learning

148

7

0

23 Jul 2025

Reinforcement Learning Teachers of Test Time Scaling

401

3

0

10 Jun 2025

EPiC: Towards Lossless Speedup for Reasoning Training through Edge-Preserving CoT Condensation

EPiC: Towards Lossless Speedup for Reasoning Training through Edge-Preserving CoT Condensation

Hadi Reisizadeh

Nathalie Baracaldo

297

0

0

04 Jun 2025

One Missing Piece for Open-Source Reasoning Models: A Dataset to Mitigate Cold-Starting Short CoT LLMs in RL

One Missing Piece for Open-Source Reasoning Models: A Dataset to Mitigate Cold-Starting Short CoT LLMs in RL

189

0

0

03 Jun 2025

VisuRiddles: Fine-grained Perception is a Primary Bottleneck for Multimodal Large Language Models in Abstract Visual Reasoning

VisuRiddles: Fine-grained Perception is a Primary Bottleneck for Multimodal Large Language Models in Abstract Visual Reasoning

...

428

4

0

03 Jun 2025

VisualToolAgent (VisTA): A Reinforcement Learning Framework for Visual Tool Selection

VisualToolAgent (VisTA): A Reinforcement Learning Framework for Visual Tool Selection

Anirudh Sundara Rajan

242

16

0

26 May 2025

Large Language Models as Computable Approximations to Solomonoff Induction

Large Language Models as Computable Approximations to Solomonoff Induction

231

1

0

21 May 2025

Seek in the Dark: Reasoning via Test-Time Instance-Level Policy Gradient in Latent Space

Seek in the Dark: Reasoning via Test-Time Instance-Level Policy Gradient in Latent Space

...

Eric Hanchen Jiang

446

18

0

19 May 2025

a1: Steep Test-time Scaling Law via Environment Augmented Generation

a1: Steep Test-time Scaling Law via Environment Augmented Generation

295

11

0

20 Apr 2025

Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning

Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL), 2025

222

15

0

11 Apr 2025

Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining

Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining

Alexandru Meterez

Cengiz Pehlevan

861

71

0

10 Apr 2025

Style over Substance: Distilled Language Models Reason Via Stylistic Replication

Style over Substance: Distilled Language Models Reason Via Stylistic Replication

Philip Lippmann

516

2

0

02 Apr 2025

Efficient Inference for Large Reasoning Models: A Survey

Efficient Inference for Large Reasoning Models: A Survey

...

575

50

0

29 Mar 2025

Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks

Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive Tasks

...

530

40

0

27 Mar 2025

ReFeed: Multi-dimensional Summarization Refinement with Reflective Reasoning on Feedback

ReFeed: Multi-dimensional Summarization Refinement with Reflective Reasoning on Feedback

Jason (Jinglun) Cai

237

1

0

27 Mar 2025

ThinkPatterns-21k: A Systematic Study on the Impact of Thinking Patterns in LLMs

ThinkPatterns-21k: A Systematic Study on the Impact of Thinking Patterns in LLMs

278

11

0

17 Mar 2025

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey

William Yang Wang

600

112

0

16 Mar 2025

Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation EngineeringAnnual Meeting of the Association for Computational Linguistics (ACL), 2025

321

24

0

14 Mar 2025

Theoretical Physics Benchmark (TPBench) -- a Dataset and Study of AI Reasoning Capabilities in Theoretical Physics

Theoretical Physics Benchmark (TPBench) -- a Dataset and Study of AI Reasoning Capabilities in Theoretical Physics

Daniel J.H. Chung

Moritz Münchmeyer

Sai Chaitanya Tadepalli

240

18

0

19 Feb 2025

Perovskite-LLM: Knowledge-Enhanced Large Language Models for Perovskite Solar Cell Research

Perovskite-LLM: Knowledge-Enhanced Large Language Models for Perovskite Solar Cell Research

205

4

0

18 Feb 2025