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Contrastive Decoding Improves Reasoning in Large Language Models
Paper • 2309.09117 • Published • 40 -
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
Collections
Discover the best community collections!
Collections including paper arxiv:2601.18778
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Scaling Embeddings Outperforms Scaling Experts in Language Models
Paper • 2601.21204 • Published • 102 -
Innovator-VL: A Multimodal Large Language Model for Scientific Discovery
Paper • 2601.19325 • Published • 81 -
TwinBrainVLA: Unleashing the Potential of Generalist VLMs for Embodied Tasks via Asymmetric Mixture-of-Transformers
Paper • 2601.14133 • Published • 61 -
MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods
Paper • 2601.21821 • Published • 62
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Endless Terminals: Scaling RL Environments for Terminal Agents
Paper • 2601.16443 • Published • 18 -
Linear representations in language models can change dramatically over a conversation
Paper • 2601.20834 • Published • 21 -
Scaling Embeddings Outperforms Scaling Experts in Language Models
Paper • 2601.21204 • Published • 102 -
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability
Paper • 2601.18778 • Published • 42
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Turn-PPO: Turn-Level Advantage Estimation with PPO for Improved Multi-Turn RL in Agentic LLMs
Paper • 2512.17008 • Published • 11 -
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Paper • 2601.05242 • Published • 230 -
ryokamoi/Qwen-2.5-7B-FoVer-PRM-old
Text Generation • 8B • Updated • 303 • 1 -
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability
Paper • 2601.18778 • Published • 42
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Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward
Paper • 2510.03222 • Published • 76 -
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
Paper • 2510.05592 • Published • 110 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 513 -
Multi-Agent Tool-Integrated Policy Optimization
Paper • 2510.04678 • Published • 31
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Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models
Paper • 2602.12036 • Published • 93 -
Reinforcement Learning for Self-Improving Agent with Skill Library
Paper • 2512.17102 • Published • 42 -
Diffusion Knows Transparency: Repurposing Video Diffusion for Transparent Object Depth and Normal Estimation
Paper • 2512.23705 • Published • 45 -
Schoenfeld's Anatomy of Mathematical Reasoning by Language Models
Paper • 2512.19995 • Published • 16
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Beyond Imitation: Reinforcement Learning for Active Latent Planning
Paper • 2601.21598 • Published • 10 -
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability
Paper • 2601.18778 • Published • 42 -
Self-Hinting Language Models Enhance Reinforcement Learning
Paper • 2602.03143 • Published • 31 -
GigaBrain-0.5M*: a VLA That Learns From World Model-Based Reinforcement Learning
Paper • 2602.12099 • Published • 61
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Youtu-LLM: Unlocking the Native Agentic Potential for Lightweight Large Language Models
Paper • 2512.24618 • Published • 154 -
Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem
Paper • 2512.24873 • Published • 108 -
AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents
Paper • 2512.23343 • Published • 30 -
Figure It Out: Improving the Frontier of Reasoning with Active Visual Thinking
Paper • 2512.24297 • Published • 6
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Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning
Paper • 2510.20150 • Published • 6 -
Tiny Model, Big Logic: Diversity-Driven Optimization Elicits Large-Model Reasoning Ability in VibeThinker-1.5B
Paper • 2511.06221 • Published • 134 -
We-Math 2.0: A Versatile MathBook System for Incentivizing Visual Mathematical Reasoning
Paper • 2508.10433 • Published • 146 -
Stabilizing Reinforcement Learning with LLMs: Formulation and Practices
Paper • 2512.01374 • Published • 106
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StockBench: Can LLM Agents Trade Stocks Profitably In Real-world Markets?
Paper • 2510.02209 • Published • 57 -
MM-DREX: Multimodal-Driven Dynamic Routing of LLM Experts for Financial Trading
Paper • 2509.05080 • Published -
TradingGroup: A Multi-Agent Trading System with Self-Reflection and Data-Synthesis
Paper • 2508.17565 • Published • 1 -
QTMRL: An Agent for Quantitative Trading Decision-Making Based on Multi-Indicator Guided Reinforcement Learning
Paper • 2508.20467 • Published
-
Contrastive Decoding Improves Reasoning in Large Language Models
Paper • 2309.09117 • Published • 40 -
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
-
Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models
Paper • 2602.12036 • Published • 93 -
Reinforcement Learning for Self-Improving Agent with Skill Library
Paper • 2512.17102 • Published • 42 -
Diffusion Knows Transparency: Repurposing Video Diffusion for Transparent Object Depth and Normal Estimation
Paper • 2512.23705 • Published • 45 -
Schoenfeld's Anatomy of Mathematical Reasoning by Language Models
Paper • 2512.19995 • Published • 16
-
Scaling Embeddings Outperforms Scaling Experts in Language Models
Paper • 2601.21204 • Published • 102 -
Innovator-VL: A Multimodal Large Language Model for Scientific Discovery
Paper • 2601.19325 • Published • 81 -
TwinBrainVLA: Unleashing the Potential of Generalist VLMs for Embodied Tasks via Asymmetric Mixture-of-Transformers
Paper • 2601.14133 • Published • 61 -
MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods
Paper • 2601.21821 • Published • 62
-
Beyond Imitation: Reinforcement Learning for Active Latent Planning
Paper • 2601.21598 • Published • 10 -
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability
Paper • 2601.18778 • Published • 42 -
Self-Hinting Language Models Enhance Reinforcement Learning
Paper • 2602.03143 • Published • 31 -
GigaBrain-0.5M*: a VLA That Learns From World Model-Based Reinforcement Learning
Paper • 2602.12099 • Published • 61
-
Endless Terminals: Scaling RL Environments for Terminal Agents
Paper • 2601.16443 • Published • 18 -
Linear representations in language models can change dramatically over a conversation
Paper • 2601.20834 • Published • 21 -
Scaling Embeddings Outperforms Scaling Experts in Language Models
Paper • 2601.21204 • Published • 102 -
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability
Paper • 2601.18778 • Published • 42
-
Youtu-LLM: Unlocking the Native Agentic Potential for Lightweight Large Language Models
Paper • 2512.24618 • Published • 154 -
Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem
Paper • 2512.24873 • Published • 108 -
AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents
Paper • 2512.23343 • Published • 30 -
Figure It Out: Improving the Frontier of Reasoning with Active Visual Thinking
Paper • 2512.24297 • Published • 6
-
Turn-PPO: Turn-Level Advantage Estimation with PPO for Improved Multi-Turn RL in Agentic LLMs
Paper • 2512.17008 • Published • 11 -
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
Paper • 2601.05242 • Published • 230 -
ryokamoi/Qwen-2.5-7B-FoVer-PRM-old
Text Generation • 8B • Updated • 303 • 1 -
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability
Paper • 2601.18778 • Published • 42
-
Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning
Paper • 2510.20150 • Published • 6 -
Tiny Model, Big Logic: Diversity-Driven Optimization Elicits Large-Model Reasoning Ability in VibeThinker-1.5B
Paper • 2511.06221 • Published • 134 -
We-Math 2.0: A Versatile MathBook System for Incentivizing Visual Mathematical Reasoning
Paper • 2508.10433 • Published • 146 -
Stabilizing Reinforcement Learning with LLMs: Formulation and Practices
Paper • 2512.01374 • Published • 106
-
Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward
Paper • 2510.03222 • Published • 76 -
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
Paper • 2510.05592 • Published • 110 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 513 -
Multi-Agent Tool-Integrated Policy Optimization
Paper • 2510.04678 • Published • 31
-
StockBench: Can LLM Agents Trade Stocks Profitably In Real-world Markets?
Paper • 2510.02209 • Published • 57 -
MM-DREX: Multimodal-Driven Dynamic Routing of LLM Experts for Financial Trading
Paper • 2509.05080 • Published -
TradingGroup: A Multi-Agent Trading System with Self-Reflection and Data-Synthesis
Paper • 2508.17565 • Published • 1 -
QTMRL: An Agent for Quantitative Trading Decision-Making Based on Multi-Indicator Guided Reinforcement Learning
Paper • 2508.20467 • Published