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Collections including paper arxiv:2212.10496

🔎⇒💬 RAG

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Paper • 2005.11401 • Published May 22, 2020 • 11
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Paper • 2401.08406 • Published Jan 16, 2024 • 37
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Paper • 2104.08663 • Published Apr 17, 2021 • 3
Precise Zero-Shot Dense Retrieval without Relevance Labels

Paper • 2212.10496 • Published Dec 20, 2022 • 2

Precise Zero-Shot Dense Retrieval without Relevance Labels

Paper • 2212.10496 • Published Dec 20, 2022 • 2

Text Embedding & Rankers

Jina-ColBERT-v2: A General-Purpose Multilingual Late Interaction Retriever

Paper • 2408.16672 • Published Aug 29, 2024 • 8
Precise Zero-Shot Dense Retrieval without Relevance Labels

Paper • 2212.10496 • Published Dec 20, 2022 • 2
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent

Paper • 2304.09542 • Published Apr 19, 2023 • 4
Making Text Embedders Few-Shot Learners

Paper • 2409.15700 • Published Sep 24, 2024 • 30

Precise Zero-Shot Dense Retrieval without Relevance Labels

Paper • 2212.10496 • Published Dec 20, 2022 • 2

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Paper • 2005.11401 • Published May 22, 2020 • 11
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Paper • 2401.08406 • Published Jan 16, 2024 • 37
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Paper • 2104.08663 • Published Apr 17, 2021 • 3
Precise Zero-Shot Dense Retrieval without Relevance Labels

Paper • 2212.10496 • Published Dec 20, 2022 • 2

RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

Paper • 2401.18059 • Published Jan 31, 2024 • 36
Precise Zero-Shot Dense Retrieval without Relevance Labels

Paper • 2212.10496 • Published Dec 20, 2022 • 2

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Paper • 2005.11401 • Published May 22, 2020 • 11
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Paper • 2401.08406 • Published Jan 16, 2024 • 37
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Paper • 2104.08663 • Published Apr 17, 2021 • 3
Precise Zero-Shot Dense Retrieval without Relevance Labels

Paper • 2212.10496 • Published Dec 20, 2022 • 2

Cognitive Architectures for Language Agents

Paper • 2309.02427 • Published Sep 5, 2023 • 8
Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Paper • 2305.18290 • Published May 29, 2023 • 51
Orca 2: Teaching Small Language Models How to Reason

Paper • 2311.11045 • Published Nov 18, 2023 • 71
Pretraining Data Mixtures Enable Narrow Model Selection Capabilities in Transformer Models

Paper • 2311.00871 • Published Nov 1, 2023 • 2

RA-DIT: Retrieval-Augmented Dual Instruction Tuning

Paper • 2310.01352 • Published Oct 2, 2023 • 7
Self-Consistency Improves Chain of Thought Reasoning in Language Models

Paper • 2203.11171 • Published Mar 21, 2022 • 3
MemGPT: Towards LLMs as Operating Systems

Paper • 2310.08560 • Published Oct 12, 2023 • 7
Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Paper • 2310.06117 • Published Oct 9, 2023 • 3

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