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1. M2RAG M2RAG Public

   This is the code repo for our paper "Benchmarking Retrieval-Augmented Generation in Multi-Modal Contexts".

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2. INTERVENOR INTERVENOR Public

   Source code for paper: INTERVENOR : Prompt the Coding Ability of Large Language Models with the Interactive Chain of Repairing

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3. RankCoT RankCoT Public

   Source code for our paper ''RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts''

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4. P3Ranker P3Ranker Public

   Code for our SIGIR 2022 accepted paper : P3 Ranker: Mitigating the Gaps between Pre-training and Ranking Fine-tuning with Prompt-based Learning and Pre-finetuning

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5. ExpandR ExpandR Public

   Source code for paper "ExpandR: Teaching Dense Retrievers Beyond Queries with LLM Guidance"

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6. HIPPO HIPPO Public

   HIPPO: Enhancing the Table Understanding Capability of Large Language Models through Hybrid-Modal Preference Optimization

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