RAG - Paper Without Code

A working code is worth a thousand words, so let LLM do it for you! “Paper without code” is an AI project to provide prototype implementations for classic and trending AI papers by using LLM code generation.

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In-context Continual Learning Assisted by an External Continual Learner (No more RAG!)

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December 30, 2024

Saleh Momeni, Sahisnu Mazumder, Zixuan Ke, Bing Liu The paper, “In-context Continual Learning Assisted by an External Continual Learner,” introduces…

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Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers

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September 10, 2024

Chenglei Si, Diyi Yang, Tatsunori Hashimoto This paper, “Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+…

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Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation

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August 30, 2024

Thomas Merth, Qichen Fu, Mohammad Rastegari, Mahyar NajibiThe official code repo can be found at apple/ml-superposition-prompting (github.com) The paper “Superposition…

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REAPER: Reasoning based Retrieval Planning for Complex RAG Systems (Amazon Rufus paper)

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August 26, 2024

Ashutosh Joshi, Sheikh Muhammad Sarwar, Samarth Varshney, Sreyashi Nag, Shrivats Agrawal, Juhi Naik The paper introduces REAPER (Reasoning-based PlannER), a…

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CommunityKG-RAG: Leveraging Community Structures in Knowledge Graphs for Advanced Retrieval-Augmented Generation in Fact-Checking

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August 26, 2024

Rong-Ching Chang, Jiawei Zhang The paper “CommunityKG-RAG: Leveraging Community Structures in Knowledge Graphs for Advanced Retrieval-Augmented Generation in Fact-Checking” presents…