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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
Collections
Discover the best community collections!
Collections including paper arxiv:2508.07407
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ExGRPO: Learning to Reason from Experience
Paper • 2510.02245 • Published • 83 -
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Paper • 2508.07407 • Published • 99 -
rStar2-Agent: Agentic Reasoning Technical Report
Paper • 2508.20722 • Published • 118 -
Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning
Paper • 2508.19828 • Published • 8
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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 628 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 302 -
Group Sequence Policy Optimization
Paper • 2507.18071 • Published • 320 -
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth
Paper • 2509.03867 • Published • 213
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AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs
Paper • 2508.16153 • Published • 162 -
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Paper • 2508.07407 • Published • 99 -
Adaptation of Agentic AI
Paper • 2512.16301 • Published • 108 -
BrainExplore: Large-Scale Discovery of Interpretable Visual Representations in the Human Brain
Paper • 2512.08560 • Published • 39
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SSRL: Self-Search Reinforcement Learning
Paper • 2508.10874 • Published • 97 -
FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction
Paper • 2508.11987 • Published • 73 -
Deep Think with Confidence
Paper • 2508.15260 • Published • 90 -
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Paper • 2508.07407 • Published • 99
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A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Paper • 2508.07407 • Published • 99 -
RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning
Paper • 2504.20073 • Published • 12 -
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs
Paper • 2508.16153 • Published • 162
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Pruning the Unsurprising: Efficient Code Reasoning via First-Token Surprisal
Paper • 2508.05988 • Published • 21 -
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Paper • 2508.07407 • Published • 99 -
Compressing Chain-of-Thought in LLMs via Step Entropy
Paper • 2508.03346 • Published • 8 -
Reinforcement Learning in Vision: A Survey
Paper • 2508.08189 • Published • 30
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aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists
Paper • 2508.15126 • Published • 20 -
From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery
Paper • 2508.14111 • Published • 33 -
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Paper • 2508.07407 • Published • 99
-
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
-
ExGRPO: Learning to Reason from Experience
Paper • 2510.02245 • Published • 83 -
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Paper • 2508.07407 • Published • 99 -
rStar2-Agent: Agentic Reasoning Technical Report
Paper • 2508.20722 • Published • 118 -
Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning
Paper • 2508.19828 • Published • 8
-
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Paper • 2508.07407 • Published • 99 -
RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning
Paper • 2504.20073 • Published • 12 -
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs
Paper • 2508.16153 • Published • 162
-
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 628 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 302 -
Group Sequence Policy Optimization
Paper • 2507.18071 • Published • 320 -
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth
Paper • 2509.03867 • Published • 213
-
Pruning the Unsurprising: Efficient Code Reasoning via First-Token Surprisal
Paper • 2508.05988 • Published • 21 -
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Paper • 2508.07407 • Published • 99 -
Compressing Chain-of-Thought in LLMs via Step Entropy
Paper • 2508.03346 • Published • 8 -
Reinforcement Learning in Vision: A Survey
Paper • 2508.08189 • Published • 30
-
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs
Paper • 2508.16153 • Published • 162 -
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Paper • 2508.07407 • Published • 99 -
Adaptation of Agentic AI
Paper • 2512.16301 • Published • 108 -
BrainExplore: Large-Scale Discovery of Interpretable Visual Representations in the Human Brain
Paper • 2512.08560 • Published • 39
-
aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists
Paper • 2508.15126 • Published • 20 -
From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery
Paper • 2508.14111 • Published • 33 -
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Paper • 2508.07407 • Published • 99
-
SSRL: Self-Search Reinforcement Learning
Paper • 2508.10874 • Published • 97 -
FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction
Paper • 2508.11987 • Published • 73 -
Deep Think with Confidence
Paper • 2508.15260 • Published • 90 -
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Paper • 2508.07407 • Published • 99