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Dec 3, 2024
Dec 3, 2024
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Discover the best community collections!
Collections including paper arxiv:2406.07394
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Oct 28, 2024
Oct 28, 2024
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Jun 12, 2024
Jun 12, 2024
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Jun 12, 2024
Jun 12, 2024
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Jul 2, 2024
Jul 2, 2024
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Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning
Paper • 2406.06469 • Published • 25 -
Mixture-of-Agents Enhances Large Language Model Capabilities
Paper • 2406.04692 • Published • 56 -
CRAG -- Comprehensive RAG Benchmark
Paper • 2406.04744 • Published • 45 -
ShareGPT4Video: Improving Video Understanding and Generation with Better Captions
Paper • 2406.04325 • Published • 73
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Jun 12, 2024
Jun 12, 2024
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DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data
Paper • 2405.14333 • Published • 37 -
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
Paper • 2404.12253 • Published • 55 -
Improve Mathematical Reasoning in Language Models by Automated Process Supervision
Paper • 2406.06592 • Published • 27 -
Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B
Paper • 2406.07394 • Published • 26
Collection by
2 days ago
2 days ago
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Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length
Paper • 2404.08801 • Published • 65 -
RecurrentGemma: Moving Past Transformers for Efficient Open Language Models
Paper • 2404.07839 • Published • 44 -
Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence
Paper • 2404.05892 • Published • 33 -
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Paper • 2312.00752 • Published • 139
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2 days ago
2 days ago
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Compression Represents Intelligence Linearly
Paper • 2404.09937 • Published • 27 -
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies
Paper • 2404.06395 • Published • 22 -
Long-context LLMs Struggle with Long In-context Learning
Paper • 2404.02060 • Published • 36 -
Are large language models superhuman chemists?
Paper • 2404.01475 • Published • 17
Collection by
5 days ago
5 days ago
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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 607 -
BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 96 -
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
Paper • 2404.02258 • Published • 104 -
TransformerFAM: Feedback attention is working memory
Paper • 2404.09173 • Published • 44
Collection by
Jun 12, 2024
Jun 12, 2024
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ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models
Paper • 2404.07738 • Published • 2 -
Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations
Paper • 2404.17521 • Published • 13 -
LEGENT: Open Platform for Embodied Agents
Paper • 2404.18243 • Published • 22 -
Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B
Paper • 2406.07394 • Published • 26