Self-Refine: Iterative Refinement with Self-Feedback
Paper
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2303.17651
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Published
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2
Papers
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Gorilla: Large Language Model Connected with Massive APIs
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PERL: Parameter Efficient Reinforcement Learning from Human Feedback
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Towards Optimal Learning of Language Models
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GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
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MoAI: Mixture of All Intelligence for Large Language and Vision Models
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Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning
Paper • 2301.11660 • Published • 1 -
Probing-RAG: Self-Probing to Guide Language Models in Selective Document Retrieval
Paper • 2410.13339 • Published -
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries
Paper • 2406.12824 • Published • 21 -
Scaling and evaluating sparse autoencoders
Paper • 2406.04093 • Published • 3 -
Transformer^2: Self-adaptive LLMs
Paper • 2501.06252 • Published • 51