Collection by 
7 days ago
Collections
Discover the best community collections!
Collections including paper arxiv:2509.08755
Collection by 
Jan 29
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Guided Self-Evolving LLMs with Minimal Human Supervision
Paper • 2512.02472 • Published • 55 -
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
Paper • 2509.25454 • Published • 148 -
Video Reasoning without Training
Paper • 2510.17045 • Published • 8 -
Agent Learning via Early Experience
Paper • 2510.08558 • Published • 277
Collection by 
Sep 16, 2025
Collection by 
Sep 16, 2025
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FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
Paper • 2311.13743 • Published • 2 -
QuantAgent: Price-Driven Multi-Agent LLMs for High-Frequency Trading
Paper • 2509.09995 • Published • 16 -
TradingAgents: Multi-Agents LLM Financial Trading Framework
Paper • 2412.20138 • Published • 47 -
The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs
Paper • 2509.09677 • Published • 37
Collection by 
Sep 15, 2025
Collection by 
3 days ago
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SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models
Paper • 2506.04180 • Published • 34 -
AniMaker: Automated Multi-Agent Animated Storytelling with MCTS-Driven Clip Generation
Paper • 2506.10540 • Published • 37 -
AutoMind: Adaptive Knowledgeable Agent for Automated Data Science
Paper • 2506.10974 • Published • 19 -
SPAR: Scholar Paper Retrieval with LLM-based Agents for Enhanced Academic Search
Paper • 2507.15245 • Published • 11
Collection by 
8 days ago
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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
Collection by 
Sep 16, 2025
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AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning
Paper • 2509.08755 • Published • 56 -
The Majority is not always right: RL training for solution aggregation
Paper • 2509.06870 • Published • 15 -
Parallel-R1: Towards Parallel Thinking via Reinforcement Learning
Paper • 2509.07980 • Published • 105 -
Emergent Hierarchical Reasoning in LLMs through Reinforcement Learning
Paper • 2509.03646 • Published • 33
Collection by 
Sep 12, 2025
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PVPO: Pre-Estimated Value-Based Policy Optimization for Agentic Reasoning
Paper • 2508.21104 • Published • 37 -
FNet: Mixing Tokens with Fourier Transforms
Paper • 2105.03824 • Published • 1 -
SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning
Paper • 2509.02479 • Published • 84 -
RL + Transformer = A General-Purpose Problem Solver
Paper • 2501.14176 • Published • 28
Collection by 
Dec 22, 2025
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Provable Benefits of In-Tool Learning for Large Language Models
Paper • 2508.20755 • Published • 11 -
MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers
Paper • 2508.20453 • Published • 63 -
How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on τ-bench
Paper • 2508.20931 • Published • 16 -
AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning
Paper • 2509.08755 • Published • 56
Collection by 7 days ago
Collection by 3 days ago
-
SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models
Paper • 2506.04180 • Published • 34 -
AniMaker: Automated Multi-Agent Animated Storytelling with MCTS-Driven Clip Generation
Paper • 2506.10540 • Published • 37 -
AutoMind: Adaptive Knowledgeable Agent for Automated Data Science
Paper • 2506.10974 • Published • 19 -
SPAR: Scholar Paper Retrieval with LLM-based Agents for Enhanced Academic Search
Paper • 2507.15245 • Published • 11
Collection by Jan 29
-
Guided Self-Evolving LLMs with Minimal Human Supervision
Paper • 2512.02472 • Published • 55 -
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
Paper • 2509.25454 • Published • 148 -
Video Reasoning without Training
Paper • 2510.17045 • Published • 8 -
Agent Learning via Early Experience
Paper • 2510.08558 • Published • 277
Collection by 8 days ago
-
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
Collection by Sep 16, 2025
Collection by Sep 16, 2025
-
AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning
Paper • 2509.08755 • Published • 56 -
The Majority is not always right: RL training for solution aggregation
Paper • 2509.06870 • Published • 15 -
Parallel-R1: Towards Parallel Thinking via Reinforcement Learning
Paper • 2509.07980 • Published • 105 -
Emergent Hierarchical Reasoning in LLMs through Reinforcement Learning
Paper • 2509.03646 • Published • 33
Collection by Sep 16, 2025
-
FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
Paper • 2311.13743 • Published • 2 -
QuantAgent: Price-Driven Multi-Agent LLMs for High-Frequency Trading
Paper • 2509.09995 • Published • 16 -
TradingAgents: Multi-Agents LLM Financial Trading Framework
Paper • 2412.20138 • Published • 47 -
The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs
Paper • 2509.09677 • Published • 37
Collection by Sep 12, 2025
-
PVPO: Pre-Estimated Value-Based Policy Optimization for Agentic Reasoning
Paper • 2508.21104 • Published • 37 -
FNet: Mixing Tokens with Fourier Transforms
Paper • 2105.03824 • Published • 1 -
SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning
Paper • 2509.02479 • Published • 84 -
RL + Transformer = A General-Purpose Problem Solver
Paper • 2501.14176 • Published • 28
Collection by Sep 15, 2025
Collection by Dec 22, 2025
-
Provable Benefits of In-Tool Learning for Large Language Models
Paper • 2508.20755 • Published • 11 -
MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers
Paper • 2508.20453 • Published • 63 -
How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on τ-bench
Paper • 2508.20931 • Published • 16 -
AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement Learning
Paper • 2509.08755 • Published • 56