Collections
Discover the best community collections!
Collections including paper arxiv:2402.05403
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Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 99 -
How to Train Data-Efficient LLMs
Paper • 2402.09668 • Published • 38 -
BitDelta: Your Fine-Tune May Only Be Worth One Bit
Paper • 2402.10193 • Published • 17 -
A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
Paper • 2402.09727 • Published • 35
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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 21 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 80 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 144 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
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Learning Universal Predictors
Paper • 2401.14953 • Published • 19 -
Anything in Any Scene: Photorealistic Video Object Insertion
Paper • 2401.17509 • Published • 16 -
SymbolicAI: A framework for logic-based approaches combining generative models and solvers
Paper • 2402.00854 • Published • 19 -
StrokeNUWA: Tokenizing Strokes for Vector Graphic Synthesis
Paper • 2401.17093 • Published • 19
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Chain of Code: Reasoning with a Language Model-Augmented Code Emulator
Paper • 2312.04474 • Published • 29 -
Training Chain-of-Thought via Latent-Variable Inference
Paper • 2312.02179 • Published • 8 -
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning
Paper • 2312.01552 • Published • 30 -
AppAgent: Multimodal Agents as Smartphone Users
Paper • 2312.13771 • Published • 51
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Iterated Decomposition: Improving Science Q&A by Supervising Reasoning Processes
Paper • 2301.01751 • Published -
Question Decomposition Improves the Faithfulness of Model-Generated Reasoning
Paper • 2307.11768 • Published • 12 -
Contrastive Decoding Improves Reasoning in Large Language Models
Paper • 2309.09117 • Published • 37 -
Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding
Paper • 2307.15337 • Published • 36