Collections
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Collections including paper arxiv:2311.11045
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OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework
Paper • 2404.14619 • Published • 120 -
Scaling Laws for Downstream Task Performance of Large Language Models
Paper • 2402.04177 • Published • 16 -
Orca 2: Teaching Small Language Models How to Reason
Paper • 2311.11045 • Published • 68 -
Orca-Math: Unlocking the potential of SLMs in Grade School Math
Paper • 2402.14830 • Published • 23
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Visual In-Context Prompting
Paper • 2311.13601 • Published • 14 -
Textbooks Are All You Need
Paper • 2306.11644 • Published • 137 -
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 2 -
LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models
Paper • 2303.02927 • Published • 3
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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 • 17 -
Teaching Large Language Models to Reason with Reinforcement Learning
Paper • 2403.04642 • Published • 43 -
How Far Are We from Intelligent Visual Deductive Reasoning?
Paper • 2403.04732 • Published • 18 -
Learning to Reason and Memorize with Self-Notes
Paper • 2305.00833 • Published • 4
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Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 90 -
How to Train Data-Efficient LLMs
Paper • 2402.09668 • Published • 33 -
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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Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model
Paper • 2402.07827 • Published • 43 -
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Paper • 2104.08663 • Published • 3 -
Orca 2: Teaching Small Language Models How to Reason
Paper • 2311.11045 • Published • 68 -
Generative Representational Instruction Tuning
Paper • 2402.09906 • Published • 50
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 135 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 26 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 19 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 62
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aMUSEd: An Open MUSE Reproduction
Paper • 2401.01808 • Published • 26 -
From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations
Paper • 2401.01885 • Published • 26 -
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity
Paper • 2401.00604 • Published • 4 -
LARP: Language-Agent Role Play for Open-World Games
Paper • 2312.17653 • Published • 29