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Jan 25, 2024
Jan 25, 2024
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Collections including paper arxiv:2401.10020
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Aug 28, 2024
Aug 28, 2024
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Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 55 -
Simple linear attention language models balance the recall-throughput tradeoff
Paper • 2402.18668 • Published • 20 -
ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition
Paper • 2402.15220 • Published • 21 -
Linear Transformers are Versatile In-Context Learners
Paper • 2402.14180 • Published • 7
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Jan 30, 2024
Jan 30, 2024
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 147 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 23 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 30 -
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling
Paper • 2401.16380 • Published • 49
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Apr 23, 2024
Apr 23, 2024
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 147 -
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 53 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 83 -
OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models
Paper • 2402.01739 • Published • 27
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14 days ago
14 days ago
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 147 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 30 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 23 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 69