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Collections including paper arxiv:2603.22117

StockBench: Can LLM Agents Trade Stocks Profitably In Real-world Markets?

Paper • 2510.02209 • Published Oct 2, 2025 • 57
MM-DREX: Multimodal-Driven Dynamic Routing of LLM Experts for Financial Trading

Paper • 2509.05080 • Published Sep 5, 2025
TradingGroup: A Multi-Agent Trading System with Self-Reflection and Data-Synthesis

Paper • 2508.17565 • Published Aug 25, 2025 • 1
QTMRL: An Agent for Quantitative Trading Decision-Making Based on Multi-Indicator Guided Reinforcement Learning

Paper • 2508.20467 • Published Aug 28, 2025

Endless Terminals: Scaling RL Environments for Terminal Agents

Paper • 2601.16443 • Published Jan 23 • 18
Linear representations in language models can change dramatically over a conversation

Paper • 2601.20834 • Published Jan 28 • 21
Scaling Embeddings Outperforms Scaling Experts in Language Models

Paper • 2601.21204 • Published Jan 29 • 103
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability

Paper • 2601.18778 • Published Jan 26 • 42

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

Paper • 2410.14059 • Published Oct 17, 2024 • 63
Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching

Paper • 2503.05179 • Published Mar 7, 2025 • 46
Token-Efficient Long Video Understanding for Multimodal LLMs

Paper • 2503.04130 • Published Mar 6, 2025 • 96
GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing

Paper • 2503.10639 • Published Mar 13, 2025 • 53

Bootstrapping Exploration with Group-Level Natural Language Feedback in Reinforcement Learning

Paper • 2603.04597 • Published Mar 4 • 210
SII-Enigma/Llama3.2-8B-Ins-AMPO

Text Generation • 8B • Updated Mar 21 • 35
Understanding R1-Zero-Like Training: A Critical Perspective

Paper • 2503.20783 • Published Mar 26, 2025 • 59
Planner-R1: Reward Shaping Enables Efficient Agentic RL with Smaller LLMs

Paper • 2509.25779 • Published Sep 30, 2025 • 19

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8, 2025 • 410 • 99
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12, 2025 • 39
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30, 2025 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23, 2025 • 88

Reinforcement learning

Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer Learning

Paper • 2407.20798 • Published Jul 30, 2024 • 24
Offline Reinforcement Learning for LLM Multi-Step Reasoning

Paper • 2412.16145 • Published Dec 20, 2024 • 38
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models

Paper • 2501.03262 • Published Jan 4, 2025 • 104
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25, 2025 • 75

StockBench: Can LLM Agents Trade Stocks Profitably In Real-world Markets?

Paper • 2510.02209 • Published Oct 2, 2025 • 57
MM-DREX: Multimodal-Driven Dynamic Routing of LLM Experts for Financial Trading

Paper • 2509.05080 • Published Sep 5, 2025
TradingGroup: A Multi-Agent Trading System with Self-Reflection and Data-Synthesis

Paper • 2508.17565 • Published Aug 25, 2025 • 1
QTMRL: An Agent for Quantitative Trading Decision-Making Based on Multi-Indicator Guided Reinforcement Learning

Paper • 2508.20467 • Published Aug 28, 2025

Bootstrapping Exploration with Group-Level Natural Language Feedback in Reinforcement Learning

Paper • 2603.04597 • Published Mar 4 • 210
SII-Enigma/Llama3.2-8B-Ins-AMPO

Text Generation • 8B • Updated Mar 21 • 35
Understanding R1-Zero-Like Training: A Critical Perspective

Paper • 2503.20783 • Published Mar 26, 2025 • 59
Planner-R1: Reward Shaping Enables Efficient Agentic RL with Smaller LLMs

Paper • 2509.25779 • Published Sep 30, 2025 • 19

Endless Terminals: Scaling RL Environments for Terminal Agents

Paper • 2601.16443 • Published Jan 23 • 18
Linear representations in language models can change dramatically over a conversation

Paper • 2601.20834 • Published Jan 28 • 21
Scaling Embeddings Outperforms Scaling Experts in Language Models

Paper • 2601.21204 • Published Jan 29 • 103
Teaching Models to Teach Themselves: Reasoning at the Edge of Learnability

Paper • 2601.18778 • Published Jan 26 • 42

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8, 2025 • 410 • 99
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12, 2025 • 39
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30, 2025 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23, 2025 • 88

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

Paper • 2410.14059 • Published Oct 17, 2024 • 63
Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching

Paper • 2503.05179 • Published Mar 7, 2025 • 46
Token-Efficient Long Video Understanding for Multimodal LLMs

Paper • 2503.04130 • Published Mar 6, 2025 • 96
GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing

Paper • 2503.10639 • Published Mar 13, 2025 • 53

Reinforcement learning

Diffusion Augmented Agents: A Framework for Efficient Exploration and Transfer Learning

Paper • 2407.20798 • Published Jul 30, 2024 • 24
Offline Reinforcement Learning for LLM Multi-Step Reasoning

Paper • 2412.16145 • Published Dec 20, 2024 • 38
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models

Paper • 2501.03262 • Published Jan 4, 2025 • 104
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Paper • 2502.18449 • Published Feb 25, 2025 • 75

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