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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 138 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 27 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 20 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 63
Collections
Discover the best community collections!
Collections including paper arxiv:2401.10020
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The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs
Paper • 2210.14986 • Published • 4 -
Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2
Paper • 2311.10702 • Published • 18 -
Large Language Models as Optimizers
Paper • 2309.03409 • Published • 73 -
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
Paper • 2309.04269 • Published • 29
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 138 -
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 108 -
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement
Paper • 2402.07456 • Published • 40 -
Learning From Mistakes Makes LLM Better Reasoner
Paper • 2310.20689 • Published • 27
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Attention Is All You Need
Paper • 1706.03762 • Published • 40 -
Self-Attention with Relative Position Representations
Paper • 1803.02155 • Published -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 14 -
Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding
Paper • 2401.12954 • Published • 28
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Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 50 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 138 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 20 -
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Paper • 2401.06066 • Published • 39
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Proximal Policy Optimization Algorithms
Paper • 1707.06347 • Published • 2 -
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 40 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 138 -
Training language models to follow instructions with human feedback
Paper • 2203.02155 • Published • 13
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Lost in the Middle: How Language Models Use Long Contexts
Paper • 2307.03172 • Published • 34 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 14 -
Attention Is All You Need
Paper • 1706.03762 • Published • 40 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 238
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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 • 582 -
EMO: Emote Portrait Alive - Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions
Paper • 2402.17485 • Published • 184 -
Iterative Reasoning Preference Optimization
Paper • 2404.19733 • Published • 45