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Proximal Policy Optimization Algorithms
Paper • 1707.06347 • Published • 3 -
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 48 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 144 -
Training language models to follow instructions with human feedback
Paper • 2203.02155 • Published • 15
Collections
Discover the best community collections!
Collections including paper arxiv:2401.10020
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Lost in the Middle: How Language Models Use Long Contexts
Paper • 2307.03172 • Published • 36 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 14 -
Attention Is All You Need
Paper • 1706.03762 • Published • 44 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 242
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BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 96 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 602 -
EMO: Emote Portrait Alive - Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions
Paper • 2402.17485 • Published • 188 -
Iterative Reasoning Preference Optimization
Paper • 2404.19733 • Published • 47
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Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Paper • 2310.04406 • Published • 8 -
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 99 -
ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization
Paper • 2402.09320 • Published • 6 -
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 109
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Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Paper • 2310.04406 • Published • 8 -
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 99 -
ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization
Paper • 2402.09320 • Published • 6 -
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 109
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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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Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 242 -
GAIA: a benchmark for General AI Assistants
Paper • 2311.12983 • Published • 183 -
DocLLM: A layout-aware generative language model for multimodal document understanding
Paper • 2401.00908 • Published • 181 -
LLM in a flash: Efficient Large Language Model Inference with Limited Memory
Paper • 2312.11514 • Published • 258