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The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs
Paper • 2210.14986 • Published • 5 -
Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2
Paper • 2311.10702 • Published • 19 -
Large Language Models as Optimizers
Paper • 2309.03409 • Published • 75 -
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
Paper • 2309.04269 • Published • 32
Collections
Discover the best community collections!
Collections including paper arxiv:2404.12253
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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 • 27
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Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models
Paper • 2402.14848 • Published • 18 -
Teaching Large Language Models to Reason with Reinforcement Learning
Paper • 2403.04642 • Published • 46 -
How Far Are We from Intelligent Visual Deductive Reasoning?
Paper • 2403.04732 • Published • 20 -
Learning to Reason and Memorize with Self-Notes
Paper • 2305.00833 • Published • 5
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Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 105 -
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
Paper • 2404.12253 • Published • 55 -
Make Your LLM Fully Utilize the Context
Paper • 2404.16811 • Published • 53 -
ReFT: Representation Finetuning for Language Models
Paper • 2404.03592 • Published • 93
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Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models
Paper • 2404.13013 • Published • 31 -
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
Paper • 2404.12253 • Published • 55 -
Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity
Paper • 2403.12267 • Published -
No More Adam: Learning Rate Scaling at Initialization is All You Need
Paper • 2412.11768 • Published • 41
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Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
Paper • 2404.12253 • Published • 55 -
MeshLRM: Large Reconstruction Model for High-Quality Mesh
Paper • 2404.12385 • Published • 27 -
Pre-training Small Base LMs with Fewer Tokens
Paper • 2404.08634 • Published • 35 -
mlx-community/Llama-2-7b-chat-mlx
Text Generation • Updated • 80 • 84
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Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
Paper • 2404.12253 • Published • 55 -
Time Machine GPT
Paper • 2404.18543 • Published • 2 -
Diffusion for World Modeling: Visual Details Matter in Atari
Paper • 2405.12399 • Published • 29 -
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
Paper • 2405.12130 • Published • 47
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Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
Paper • 2404.12253 • Published • 55 -
FlowMind: Automatic Workflow Generation with LLMs
Paper • 2404.13050 • Published • 34 -
How Far Can We Go with Practical Function-Level Program Repair?
Paper • 2404.12833 • Published • 7 -
Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models
Paper • 2404.18796 • Published • 69
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Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
Paper • 2404.12253 • Published • 55 -
AutoCrawler: A Progressive Understanding Web Agent for Web Crawler Generation
Paper • 2404.12753 • Published • 42 -
How Far Can We Go with Practical Function-Level Program Repair?
Paper • 2404.12833 • Published • 7 -
FlowMind: Automatic Workflow Generation with LLMs
Paper • 2404.13050 • Published • 34