OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe
Paper • 2511.16334 • Published • 94
reasoning_model
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Parallel-R1: Towards Parallel Thinking via Reinforcement Learning
Paper • 2509.07980 • Published • 105 -
ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute
Paper • 2509.04475 • Published • 3 -
Stabilizing Reinforcement Learning with LLMs: Formulation and Practices
Paper • 2512.01374 • Published • 106 -
DeepSeekMath-V2: Towards Self-Verifiable Mathematical Reasoning
Paper • 2511.22570 • Published • 92 -
ThreadWeaver: Adaptive Threading for Efficient Parallel Reasoning in Language Models
Paper • 2512.07843 • Published • 22 -
Apriel-1.5-15b-Thinker
Paper • 2510.01141 • Published • 123 -
SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models
Paper • 2504.11468 • Published • 30 -
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Paper • 2501.09686 • Published • 41 -
OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models
Paper • 2410.09671 • Published • 1 -
DataFlow: An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI
Paper • 2512.16676 • Published • 221 -
Seed-Prover 1.5: Mastering Undergraduate-Level Theorem Proving via Learning from Experience
Paper • 2512.17260 • Published • 52 -
Latent Implicit Visual Reasoning
Paper • 2512.21218 • Published • 69 -
Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning
Paper • 2512.20605 • Published • 62 -
Schoenfeld's Anatomy of Mathematical Reasoning by Language Models
Paper • 2512.19995 • Published • 16 -
P1: Mastering Physics Olympiads with Reinforcement Learning
Paper • 2511.13612 • Published • 134 -
The Path Not Taken: RLVR Provably Learns Off the Principals
Paper • 2511.08567 • Published • 35 -
Tiny Model, Big Logic: Diversity-Driven Optimization Elicits Large-Model Reasoning Ability in VibeThinker-1.5B
Paper • 2511.06221 • Published • 133 -
SafeGRPO: Self-Rewarded Multimodal Safety Alignment via Rule-Governed Policy Optimization
Paper • 2511.12982 • Published • 4 -
HiPhO: How Far Are (M)LLMs from Humans in the Latest High School Physics Olympiad Benchmark?
Paper • 2509.07894 • Published • 31 -
Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space
Paper • 2512.24617 • Published • 65 -
Falcon-H1R: Pushing the Reasoning Frontiers with a Hybrid Model for Efficient Test-Time Scaling
Paper • 2601.02346 • Published • 26 -
Lost in the Noise: How Reasoning Models Fail with Contextual Distractors
Paper • 2601.07226 • Published • 33 -
Distribution-Aligned Sequence Distillation for Superior Long-CoT Reasoning
Paper • 2601.09088 • Published • 63 -
SCALER:Synthetic Scalable Adaptive Learning Environment for Reasoning
Paper • 2601.04809 • Published • 3 -
OpenAI o1 System Card
Paper • 2412.16720 • Published • 37 -
Learning Adaptive Parallel Reasoning with Language Models
Paper • 2504.15466 • Published • 44 -
Training Large Language Models to Reason in a Continuous Latent Space
Paper • 2412.06769 • Published • 94 -
Harder Is Better: Boosting Mathematical Reasoning via Difficulty-Aware GRPO and Multi-Aspect Question Reformulation
Paper • 2601.20614 • Published • 120 -
Less is Enough: Synthesizing Diverse Data in Feature Space of LLMs
Paper • 2602.10388 • Published • 243