Contrastive Decoding Improves Reasoning in Large Language Models
Paper • 2309.09117 • Published • 40
Reasoning
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Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
Paper • 2310.08491 • Published • 57 -
Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding
Paper • 2411.04282 • Published • 37 -
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models
Paper • 2411.14432 • Published • 25 -
Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning
Paper • 2412.15797 • Published • 18 -
Search-o1: Agentic Search-Enhanced Large Reasoning Models
Paper • 2501.05366 • Published • 104 -
Evolving Deeper LLM Thinking
Paper • 2501.09891 • Published • 115 -
Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning
Paper • 2502.03275 • Published • 18 -
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
Paper • 2502.05171 • Published • 154 -
One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs
Paper • 2502.10454 • Published • 7 -
I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models
Paper • 2502.10458 • Published • 38 -
Entropy-Regularized Process Reward Model
Paper • 2412.11006 • Published -
What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical Reasoning
Paper • 2412.15904 • Published -
R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning
Paper • 2503.05592 • Published • 27 -
GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing
Paper • 2503.10639 • Published • 53 -
GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training
Paper • 2503.08525 • Published • 17 -
OpenVLThinker: An Early Exploration to Complex Vision-Language Reasoning via Iterative Self-Improvement
Paper • 2503.17352 • Published • 24 -
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models
Paper • 2503.24235 • Published • 55 -
Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback
Paper • 2503.22230 • Published • 45 -
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
Paper • 2503.24290 • Published • 62 -
VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks
Paper • 2504.05118 • Published • 26 -
FlowReasoner: Reinforcing Query-Level Meta-Agents
Paper • 2504.15257 • Published • 47 -
Reward Reasoning Model
Paper • 2505.14674 • Published • 37 -
Think Only When You Need with Large Hybrid-Reasoning Models
Paper • 2505.14631 • Published • 20 -
Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles
Paper • 2505.19914 • Published • 46 -
VerIPO: Cultivating Long Reasoning in Video-LLMs via Verifier-Gudied Iterative Policy Optimization
Paper • 2505.19000 • Published • 42 -
The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
Paper • 2505.22617 • Published • 132 -
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Paper • 2505.24863 • Published • 97 -
From Token to Action: State Machine Reasoning to Mitigate Overthinking in Information Retrieval
Paper • 2505.23059 • Published • 13 -
OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation
Paper • 2506.02397 • Published • 36 -
Comment on The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
Paper • 2506.09250 • Published • 27 -
Reasoning with Exploration: An Entropy Perspective
Paper • 2506.14758 • Published • 30 -
ReasonFlux-PRM: Trajectory-Aware PRMs for Long Chain-of-Thought Reasoning in LLMs
Paper • 2506.18896 • Published • 29 -
SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning
Paper • 2506.24119 • Published • 51 -
KV Cache Steering for Inducing Reasoning in Small Language Models
Paper • 2507.08799 • Published • 40 -
Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination
Paper • 2507.10532 • Published • 90 -
MUR: Momentum Uncertainty guided Reasoning for Large Language Models
Paper • 2507.14958 • Published • 47 -
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model
Paper • 2508.14444 • Published • 47 -
Intern-S1: A Scientific Multimodal Foundation Model
Paper • 2508.15763 • Published • 273 -
InMind: Evaluating LLMs in Capturing and Applying Individual Human Reasoning Styles
Paper • 2508.16072 • Published • 4 -
ThinkDial: An Open Recipe for Controlling Reasoning Effort in Large Language Models
Paper • 2508.18773 • Published • 16 -
Think in Games: Learning to Reason in Games via Reinforcement Learning with Large Language Models
Paper • 2508.21365 • Published • 29 -
Reasoning Vectors: Transferring Chain-of-Thought Capabilities via Task Arithmetic
Paper • 2509.01363 • Published • 61 -
MMR1: Enhancing Multimodal Reasoning with Variance-Aware Sampling and Open Resources
Paper • 2509.21268 • Published • 104 -
Understanding the Thinking Process of Reasoning Models: A Perspective from Schoenfeld's Episode Theory
Paper • 2509.14662 • Published • 13 -
Variational Reasoning for Language Models
Paper • 2509.22637 • Published • 69 -
Thinking Sparks!: Emergent Attention Heads in Reasoning Models During Post Training
Paper • 2509.25758 • Published • 23 -
Large Reasoning Models Learn Better Alignment from Flawed Thinking
Paper • 2510.00938 • Published • 60 -
MITS: Enhanced Tree Search Reasoning for LLMs via Pointwise Mutual Information
Paper • 2510.03632 • Published • 42 -
SwiReasoning: Switch-Thinking in Latent and Explicit for Pareto-Superior Reasoning LLMs
Paper • 2510.05069 • Published • 13 -
Meta-Awareness Enhances Reasoning Models: Self-Alignment Reinforcement Learning
Paper • 2510.03259 • Published • 57 -
Reasoning with Sampling: Your Base Model is Smarter Than You Think
Paper • 2510.14901 • Published • 48 -
Scaling Latent Reasoning via Looped Language Models
Paper • 2510.25741 • Published • 229 -
When Visualizing is the First Step to Reasoning: MIRA, a Benchmark for Visual Chain-of-Thought
Paper • 2511.02779 • Published • 60 -
Tiny Model, Big Logic: Diversity-Driven Optimization Elicits Large-Model Reasoning Ability in VibeThinker-1.5B
Paper • 2511.06221 • Published • 133 -
Nemotron Elastic: Towards Efficient Many-in-One Reasoning LLMs
Paper • 2511.16664 • Published • 29 -
SO-Bench: A Structural Output Evaluation of Multimodal LLMs
Paper • 2511.21750 • Published • 6 -
DualVLA: Building a Generalizable Embodied Agent via Partial Decoupling of Reasoning and Action
Paper • 2511.22134 • Published • 22 -
SpeContext: Enabling Efficient Long-context Reasoning with Speculative Context Sparsity in LLMs
Paper • 2512.00722 • Published • 15 -
Native Parallel Reasoner: Reasoning in Parallelism via Self-Distilled Reinforcement Learning
Paper • 2512.07461 • Published • 79 -
Universal Reasoning Model
Paper • 2512.14693 • Published • 44 -
Can LLMs Guide Their Own Exploration? Gradient-Guided Reinforcement Learning for LLM Reasoning
Paper • 2512.15687 • Published • 22 -
LongVideoAgent: Multi-Agent Reasoning with Long Videos
Paper • 2512.20618 • Published • 56 -
Multi-hop Reasoning via Early Knowledge Alignment
Paper • 2512.20144 • Published • 7 -
Reasoning Palette: Modulating Reasoning via Latent Contextualization for Controllable Exploration for (V)LMs
Paper • 2512.17206 • Published • 20 -
Schoenfeld's Anatomy of Mathematical Reasoning by Language Models
Paper • 2512.19995 • Published • 16 -
RelayLLM: Efficient Reasoning via Collaborative Decoding
Paper • 2601.05167 • Published • 31 -
DiffCoT: Diffusion-styled Chain-of-Thought Reasoning in LLMs
Paper • 2601.03559 • Published • 14 -
Evolving Programmatic Skill Networks
Paper • 2601.03509 • Published • 88 -
PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning
Paper • 2601.05593 • Published • 86 -
MAXS: Meta-Adaptive Exploration with LLM Agents
Paper • 2601.09259 • Published • 96 -
Language of Thought Shapes Output Diversity in Large Language Models
Paper • 2601.11227 • Published • 9 -
Agentic Reasoning for Large Language Models
Paper • 2601.12538 • Published • 202 -
The Flexibility Trap: Why Arbitrary Order Limits Reasoning Potential in Diffusion Language Models
Paper • 2601.15165 • Published • 73 -
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability
Paper • 2601.18778 • Published • 42 -
MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods
Paper • 2601.21821 • Published • 62 -
ReGuLaR: Variational Latent Reasoning Guided by Rendered Chain-of-Thought
Paper • 2601.23184 • Published • 36 -
Beyond Pixels: Visual Metaphor Transfer via Schema-Driven Agentic Reasoning
Paper • 2602.01335 • Published • 16 -
Parallel-Probe: Towards Efficient Parallel Thinking via 2D Probing
Paper • 2602.03845 • Published • 27 -
Retrieval-Infused Reasoning Sandbox: A Benchmark for Decoupling Retrieval and Reasoning Capabilities
Paper • 2601.21937 • Published • 19 -
Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models
Paper • 2602.04649 • Published • 12 -
Free(): Learning to Forget in Malloc-Only Reasoning Models
Paper • 2602.08030 • Published • 6 -
From Perception to Action: An Interactive Benchmark for Vision Reasoning
Paper • 2602.21015 • Published • 23 -
Agentic Code Reasoning
Paper • 2603.01896 • Published • 10 -
Mario: Multimodal Graph Reasoning with Large Language Models
Paper • 2603.05181 • Published • 9 -
Believe Your Model: Distribution-Guided Confidence Calibration
Paper • 2603.03872 • Published • 40 -
Thinking to Recall: How Reasoning Unlocks Parametric Knowledge in LLMs
Paper • 2603.09906 • Published • 75 -
VLM-SubtleBench: How Far Are VLMs from Human-Level Subtle Comparative Reasoning?
Paper • 2603.07888 • Published • 10 -
Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards
Paper • 2603.09117 • Published • 9 -
Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections
Paper • 2603.12180 • Published • 64 -
UniGRPO: Unified Policy Optimization for Reasoning-Driven Visual Generation
Paper • 2603.23500 • Published • 35 -
Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?
Paper • 2603.24472 • Published • 51 -
HopChain: Multi-Hop Data Synthesis for Generalizable Vision-Language Reasoning
Paper • 2603.17024 • Published • 108 -
Make Geometry Matter for Spatial Reasoning
Paper • 2603.26639 • Published • 32 -
Think Anywhere in Code Generation
Paper • 2603.29957 • Published • 25 -
How Well Do Agentic Skills Work in the Wild: Benchmarking LLM Skill Usage in Realistic Settings
Paper • 2604.04323 • Published • 29 -
Think in Strokes, Not Pixels: Process-Driven Image Generation via Interleaved Reasoning
Paper • 2604.04746 • Published • 44