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SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models
Paper • 2506.04180 • Published • 33 -
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:2508.16279
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A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions
Paper • 2312.08578 • Published • 20 -
ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks
Paper • 2312.08583 • Published • 11 -
Vision-Language Models as a Source of Rewards
Paper • 2312.09187 • Published • 14 -
StemGen: A music generation model that listens
Paper • 2312.08723 • Published • 49
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HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems
Paper • 2411.02959 • Published • 70 -
Zero-Shot Dense Retrieval with Embeddings from Relevance Feedback
Paper • 2410.21242 • Published • 7 -
SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution
Paper • 2501.05040 • Published • 15 -
Multi-task retriever fine-tuning for domain-specific and efficient RAG
Paper • 2501.04652 • Published • 10
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SuperWriter: Reflection-Driven Long-Form Generation with Large Language Models
Paper • 2506.04180 • Published • 33 -
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
-
HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems
Paper • 2411.02959 • Published • 70 -
Zero-Shot Dense Retrieval with Embeddings from Relevance Feedback
Paper • 2410.21242 • Published • 7 -
SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution
Paper • 2501.05040 • Published • 15 -
Multi-task retriever fine-tuning for domain-specific and efficient RAG
Paper • 2501.04652 • Published • 10
-
A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions
Paper • 2312.08578 • Published • 20 -
ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks
Paper • 2312.08583 • Published • 11 -
Vision-Language Models as a Source of Rewards
Paper • 2312.09187 • Published • 14 -
StemGen: A music generation model that listens
Paper • 2312.08723 • Published • 49