NLP Teams ; LLM AND Arxiv Doc
Common descendants
15 Documents
[2404.11018] Many-Shot In-Context Learning
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2024-04-21 About
[2307.15936] A Theory for Emergence of Complex Skills in Language Models
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2024-02-24 About
[2309.12307] LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
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2023-09-26 About
[2306.04640] ModuleFormer: Modularity Emerges from Mixture-of-Experts
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2023-09-16 About
[2307.08621] Retentive Network: A Successor to Transformer for Large Language Models
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2023-07-20 About
[2305.14128] Dr.ICL: Demonstration-Retrieved In-context Learning
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2023-07-14 About
[2303.17651] Self-Refine: Iterative Refinement with Self-Feedback
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2023-04-03 About
[2212.09741] One Embedder, Any Task: Instruction-Finetuned Text Embeddings
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2023-02-17 About
[2203.14465] STaR: Bootstrapping Reasoning With Reasoning
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2023-02-07 About
[2208.01066] What Can Transformers Learn In-Context? A Case Study of Simple Function Classes
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2022-09-17 About
[2201.04337] PromptBERT: Improving BERT Sentence Embeddings with Prompts
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2022-09-16 About
[2209.01975] Selective Annotation Makes Language Models Better Few-Shot Learners
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2022-09-07 About
[2203.08913] Memorizing Transformers
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2022-05-07 About
[2108.13934] Robust Retrieval Augmented Generation for Zero-shot Slot Filling
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2022-01-19 About
[2005.11401] Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
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2022-01-19 About