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Collections including paper arxiv:2509.25849

BroRL: Scaling Reinforcement Learning via Broadened Exploration

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

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

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

Paper • 2509.23808 • Published Sep 28 • 47

Learn the Ropes, Then Trust the Wins: Self-imitation with Progressive Exploration for Agentic Reinforcement Learning

Paper • 2509.22601 • Published Sep 26 • 29
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation

Paper • 2509.25849 • Published Sep 30 • 47
GEM: A Gym for Agentic LLMs

Paper • 2510.01051 • Published Oct 1 • 89
Reinforce-Ada: An Adaptive Sampling Framework for Reinforce-Style LLM Training

Paper • 2510.04996 • Published Oct 6 • 15

Towards General Agentic Intelligence via Environment Scaling

Paper • 2509.13311 • Published Sep 16 • 71
Tree Search for LLM Agent Reinforcement Learning

Paper • 2509.21240 • Published Sep 25 • 87
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation

Paper • 2509.25849 • Published Sep 30 • 47
Attention as a Compass: Efficient Exploration for Process-Supervised RL in Reasoning Models

Paper • 2509.26628 • Published Sep 30 • 15

Provable Benefits of In-Tool Learning for Large Language Models

Paper • 2508.20755 • Published Aug 28 • 11
MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers

Paper • 2508.20453 • Published Aug 28 • 63
How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on τ-bench

Paper • 2508.20931 • Published Aug 28 • 15
AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning

Paper • 2509.08755 • Published Sep 10 • 56

UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models

Paper • 2410.14059 • Published Oct 17, 2024 • 62
Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching

Paper • 2503.05179 • Published Mar 7 • 46
Token-Efficient Long Video Understanding for Multimodal LLMs

Paper • 2503.04130 • Published Mar 6 • 96
GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing

Paper • 2503.10639 • Published Mar 13 • 53

Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation

Paper • 2509.25849 • Published Sep 30 • 47

THOR: Tool-Integrated Hierarchical Optimization via RL for Mathematical Reasoning

Paper • 2509.13761 • Published Sep 17 • 16
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation

Paper • 2509.25849 • Published Sep 30 • 47
Reactive Transformer (RxT) -- Stateful Real-Time Processing for Event-Driven Reactive Language Models

Paper • 2510.03561 • Published Oct 3 • 24
Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6 • 496

Open Data Synthesis For Deep Research

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

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

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

Paper • 2509.00930 • Published Aug 31 • 4

about 3 hours ago

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8 • 526 • 98
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 36
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23 • 88

RL+reason model

RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24 • 28
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28 • 123
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Paper • 2412.12098 • Published Dec 16, 2024 • 4

BroRL: Scaling Reinforcement Learning via Broadened Exploration

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

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

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

Paper • 2509.23808 • Published Sep 28 • 47

Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation

Paper • 2509.25849 • Published Sep 30 • 47

Learn the Ropes, Then Trust the Wins: Self-imitation with Progressive Exploration for Agentic Reinforcement Learning

Paper • 2509.22601 • Published Sep 26 • 29
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation

Paper • 2509.25849 • Published Sep 30 • 47
GEM: A Gym for Agentic LLMs

Paper • 2510.01051 • Published Oct 1 • 89
Reinforce-Ada: An Adaptive Sampling Framework for Reinforce-Style LLM Training

Paper • 2510.04996 • Published Oct 6 • 15

THOR: Tool-Integrated Hierarchical Optimization via RL for Mathematical Reasoning

Paper • 2509.13761 • Published Sep 17 • 16
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation

Paper • 2509.25849 • Published Sep 30 • 47
Reactive Transformer (RxT) -- Stateful Real-Time Processing for Event-Driven Reactive Language Models

Paper • 2510.03561 • Published Oct 3 • 24
Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6 • 496

Towards General Agentic Intelligence via Environment Scaling

Paper • 2509.13311 • Published Sep 16 • 71
Tree Search for LLM Agent Reinforcement Learning

Paper • 2509.21240 • Published Sep 25 • 87
Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation

Paper • 2509.25849 • Published Sep 30 • 47
Attention as a Compass: Efficient Exploration for Process-Supervised RL in Reasoning Models

Paper • 2509.26628 • Published Sep 30 • 15

Open Data Synthesis For Deep Research

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

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

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

Paper • 2509.00930 • Published Aug 31 • 4

Provable Benefits of In-Tool Learning for Large Language Models

Paper • 2508.20755 • Published Aug 28 • 11
MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers

Paper • 2508.20453 • Published Aug 28 • 63
How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on τ-bench

Paper • 2508.20931 • Published Aug 28 • 15
AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning

Paper • 2509.08755 • Published Sep 10 • 56

about 3 hours ago

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8 • 526 • 98
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12 • 36
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23 • 88

UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models

Paper • 2410.14059 • Published Oct 17, 2024 • 62
Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching

Paper • 2503.05179 • Published Mar 7 • 46
Token-Efficient Long Video Understanding for Multimodal LLMs

Paper • 2503.04130 • Published Mar 6 • 96
GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing

Paper • 2503.10639 • Published Mar 13 • 53

RL+reason model

RL + Transformer = A General-Purpose Problem Solver

Paper • 2501.14176 • Published Jan 24 • 28
Towards General-Purpose Model-Free Reinforcement Learning

Paper • 2501.16142 • Published Jan 27 • 30
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28 • 123
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization

Paper • 2412.12098 • Published Dec 16, 2024 • 4

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