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AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning
Paper • 2402.15506 • Published • 18 -
AutoWebGLM: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent
Paper • 2404.03648 • Published • 29 -
Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts
Paper • 2405.19893 • Published • 34 -
Parrot: Efficient Serving of LLM-based Applications with Semantic Variable
Paper • 2405.19888 • Published • 7
Collections
Discover the best community collections!
Collections including paper arxiv:2508.03680
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Your Group-Relative Advantage Is Biased
Paper • 2601.08521 • Published • 158 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 142 -
mHC: Manifold-Constrained Hyper-Connections
Paper • 2512.24880 • Published • 335 -
BitNet Distillation
Paper • 2510.13998 • Published • 63
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Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 142 -
Efficient Agents: Building Effective Agents While Reducing Cost
Paper • 2508.02694 • Published • 86 -
Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs
Paper • 2601.08763 • Published • 150
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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 • 126 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 142 -
Self-Supervised Prompt Optimization
Paper • 2502.06855 • Published • 18
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Moshi: a speech-text foundation model for real-time dialogue
Paper • 2410.00037 • Published • 20 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 142 -
SimpleMem: Efficient Lifelong Memory for LLM Agents
Paper • 2601.02553 • Published • 38 -
Recursive Language Models
Paper • 2512.24601 • Published • 99
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AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning
Paper • 2402.15506 • Published • 18 -
AutoWebGLM: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent
Paper • 2404.03648 • Published • 29 -
Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts
Paper • 2405.19893 • Published • 34 -
Parrot: Efficient Serving of LLM-based Applications with Semantic Variable
Paper • 2405.19888 • Published • 7
-
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 • 126 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 142 -
Self-Supervised Prompt Optimization
Paper • 2502.06855 • Published • 18
-
Your Group-Relative Advantage Is Biased
Paper • 2601.08521 • Published • 158 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 142 -
mHC: Manifold-Constrained Hyper-Connections
Paper • 2512.24880 • Published • 335 -
BitNet Distillation
Paper • 2510.13998 • Published • 63
-
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 142 -
Efficient Agents: Building Effective Agents While Reducing Cost
Paper • 2508.02694 • Published • 86 -
Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs
Paper • 2601.08763 • Published • 150
-
Moshi: a speech-text foundation model for real-time dialogue
Paper • 2410.00037 • Published • 20 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 142 -
SimpleMem: Efficient Lifelong Memory for LLM Agents
Paper • 2601.02553 • Published • 38 -
Recursive Language Models
Paper • 2512.24601 • Published • 99