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Collections including paper arxiv:2509.23808

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6, 2025 • 501
When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs

Paper • 2510.07499 • Published Oct 8, 2025 • 48
Improving Context Fidelity via Native Retrieval-Augmented Reasoning

Paper • 2509.13683 • Published Sep 17, 2025 • 8
Multimodal Iterative RAG for Knowledge-Intensive Visual Question Answering

Paper • 2509.00798 • Published Aug 31, 2025 • 1

BroRL: Scaling Reinforcement Learning via Broadened Exploration

Paper • 2510.01180 • Published Oct 1, 2025 • 18
MITS: Enhanced Tree Search Reasoning for LLMs via Pointwise Mutual Information

Paper • 2510.03632 • Published Oct 4, 2025 • 41
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation

Paper • 2509.25849 • Published Sep 30, 2025 • 47
Beyond the Exploration-Exploitation Trade-off: A Hidden State Approach for LLM Reasoning in RLVR

Paper • 2509.23808 • Published Sep 28, 2025 • 47

Research Papers

Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Paper • 2408.03314 • Published Aug 6, 2024 • 63
TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning

Paper • 2502.15425 • Published Feb 21, 2025 • 9
EgoLife: Towards Egocentric Life Assistant

Paper • 2503.03803 • Published Mar 5, 2025 • 46
Visual-RFT: Visual Reinforcement Fine-Tuning

Paper • 2503.01785 • Published Mar 3, 2025 • 85

Meta-Awareness Enhances Reasoning Models: Self-Alignment Reinforcement Learning

Paper • 2510.03259 • Published Sep 26, 2025 • 57
Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense

Paper • 2510.07242 • Published Oct 8, 2025 • 30
First Try Matters: Revisiting the Role of Reflection in Reasoning Models

Paper • 2510.08308 • Published Oct 9, 2025 • 24
Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward

Paper • 2510.03222 • Published Oct 3, 2025 • 75

Open Data Synthesis For Deep Research

Paper • 2509.00375 • Published Aug 30, 2025 • 70
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training

Paper • 2509.03403 • Published Sep 3, 2025 • 22
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations

Paper • 2509.03405 • Published Sep 3, 2025 • 23
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs

Paper • 2509.00930 • Published Aug 31, 2025 • 4

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6, 2025 • 501
When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs

Paper • 2510.07499 • Published Oct 8, 2025 • 48
Improving Context Fidelity via Native Retrieval-Augmented Reasoning

Paper • 2509.13683 • Published Sep 17, 2025 • 8
Multimodal Iterative RAG for Knowledge-Intensive Visual Question Answering

Paper • 2509.00798 • Published Aug 31, 2025 • 1

Meta-Awareness Enhances Reasoning Models: Self-Alignment Reinforcement Learning

Paper • 2510.03259 • Published Sep 26, 2025 • 57
Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense

Paper • 2510.07242 • Published Oct 8, 2025 • 30
First Try Matters: Revisiting the Role of Reflection in Reasoning Models

Paper • 2510.08308 • Published Oct 9, 2025 • 24
Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward

Paper • 2510.03222 • Published Oct 3, 2025 • 75

BroRL: Scaling Reinforcement Learning via Broadened Exploration

Paper • 2510.01180 • Published Oct 1, 2025 • 18
MITS: Enhanced Tree Search Reasoning for LLMs via Pointwise Mutual Information

Paper • 2510.03632 • Published Oct 4, 2025 • 41
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation

Paper • 2509.25849 • Published Sep 30, 2025 • 47
Beyond the Exploration-Exploitation Trade-off: A Hidden State Approach for LLM Reasoning in RLVR

Paper • 2509.23808 • Published Sep 28, 2025 • 47

Open Data Synthesis For Deep Research

Paper • 2509.00375 • Published Aug 30, 2025 • 70
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training

Paper • 2509.03403 • Published Sep 3, 2025 • 22
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations

Paper • 2509.03405 • Published Sep 3, 2025 • 23
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs

Paper • 2509.00930 • Published Aug 31, 2025 • 4

Research Papers

Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Paper • 2408.03314 • Published Aug 6, 2024 • 63
TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning

Paper • 2502.15425 • Published Feb 21, 2025 • 9
EgoLife: Towards Egocentric Life Assistant

Paper • 2503.03803 • Published Mar 5, 2025 • 46
Visual-RFT: Visual Reinforcement Fine-Tuning

Paper • 2503.01785 • Published Mar 3, 2025 • 85

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