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This paper introduces a new hyper-parameter for Retrieval-Augmented Generation (RAG) systems called Context Window Utilization.
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen tau Yih, Tim Rocktäschel, Sebastian Riedel, and Douwe Kiela. 2021 · 2005
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MS MARCO: A Human Generated MAchine Reading COmprehension Dataset
Payal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, Tri Nguyen, Mir Rosenberg, Xia Song, Alina Stoica, Saurabh Tiwary, and Tong Wang. 2018 · 2018
Earlier work this paper cites.
Natural Questions: A Benchmark for Question Answering Research
Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob Devlin, Kenton Lee, Kristina Toutanova, Llion Jones, Matthew Kelcey, Ming-Wei Chang, Andrew M. Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov. 2019 · 2019
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Semantic Answer Similarity for Evaluating Question Answering Models
Julian Risch, Timo Möller, Julian Gutsch, and Malte Pietsch. 2021 · 2021
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BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Nandan Thakur, Nils Reimers, Andreas Rücklé, Abhishek Srivastava, and Iryna Gurevych. 2021 · 2021
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Exploring Dual Encoder Architectures for Question Answering
Zhe Dong, Jianmo Ni, Daniel M. Bikel, Enrique Alfonseca, Yuan Wang, Chen Qu, and Imed Zitouni. 2022 · 2022
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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi. 2023 · 2023
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Dense X Retrieval: What Retrieval Granularity Should We Use?
Tong Chen, Hongwei Wang, Sihao Chen, Wenhao Yu, Kaixin Ma, Xinran Zhao, Hongming Zhang, and Dong Yu. 2023 · 2023
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MTEB: Massive Text Embedding Benchmark
Niklas Muennighoff, Nouamane Tazi, Loïc Magne, and Nils Reimers. 2023 · 2023
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Anupam Purwar and Rahul Sundar. 2023 · 2023
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C-Pack: Packaged Resources To Advance General Chinese Embedding
Shitao Xiao, Zheng Liu, Peitian Zhang, and Niklas Muennighoff. 2023 · 2023
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Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric P. Xing, Hao Zhang, Joseph E. Gonzalez, and Ion Stoica. 2023 · 2023
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CultureVo: The Serious Game of Utilizing Gen AI for Enhancing Cultural Intelligence
Ajita Agarwala, Anupam Purwar, and Viswanadhasai Rao. 2024 · 2024
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Au Large — mistral.ai
Mistral AI. 2024 · 2024
Cited alongside, same era.
Llama 3 Model Card
AI@Meta. 2024 · 2024
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Gautam B and Anupam Purwar. 2024 · 2024
Cited alongside, same era.
Seven Failure Points When Engineering a Retrieval Augmented Generation System
Scott Barnett, Stefanus Kurniawan, Srikanth Thudumu, Zach Brannelly, and Mohamed Abdelrazek. 2024 · 2024
Cited alongside, same era.
Jianlv Chen, Shitao Xiao, Peitian Zhang, Kun Luo, Defu Lian, and Zheng Liu. 2024 · 2024
Cited alongside, same era.
BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack
Yuri Kuratov, Aydar Bulatov, Petr Anokhin, Ivan Rodkin, Dmitry Sorokin, Artyom Sorokin, and Mikhail Burtsev. 2024 · 2024
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Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems
Philippe Laban, Alexander R. Fabbri, Caiming Xiong, and Chien-Sheng Wu. 2024 · 2024
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Long Context RAG Performance of LLMs — databricks.com
Quinn Leng, Jacob Portes, Sam Havens, Matei Zaharia, and Michael Carbin. 2024 · 2024
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Mosh Levy, Alon Jacoby, and Yoav Goldberg. 2024 · 2024
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LumberChunker: Long-Form Narrative Document Segmentation
André V. Duarte, João Marques, Miguel Graça, Miguel Freire, Lei Li, and Arlindo L. Oliveira. 2024 · 2024
Cited alongside, same era.
Sai Ganesh, Anupam Purwar, and Gautam B. 2024 · 2024
Cited alongside, same era.
VidyaRANG: Conversational Learning Based Platform powered by Large Language Model
Chitranshu Harbola and Anupam Purwar. 2024 · 2024
Cited alongside, same era.
RULER: What’s the Real Context Size of Your Long-Context Language Models?
Cheng-Ping Hsieh, Simeng Sun, Samuel Kriman, Shantanu Acharya, Dima Rekesh, Fei Jia, Yang Zhang, and Boris Ginsburg. 2024 · 2024
Cited alongside, same era.
Albert Q. Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Emma Bou Hanna, Florian Bressand, Gianna Lengyel, Guillaume Bour, Guillaume Lample, Lélio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Sandeep Subramanian, Sophia Yang, Szymon Antoniak, Teven Le Scao, Théophile Gervet, Thibaut Lavril, Thomas Wang, Timothée Lacroix, and William El Sayed. 2024 · 2024
Cited alongside, same era.
GitHub - microsoft/graphrag: A modular graph-based Retrieval-Augmented Generation (RAG) system — github.com
Steven Truitt Jonathan Larson. 2024 · 2024
Cited alongside, same era.
COS-Mix: Cosine Similarity and Distance Fusion for Improved Information Retrieval
Kush Juvekar and Anupam Purwar. 2024 · 2024
Cited alongside, same era.
Tianle Li, Ge Zhang, Quy Duc Do, Xiang Yue, and Wenhu Chen. 2024 · 2024
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Introducing Meta Llama 3: The most capable openly available LLM to date — ai.meta.com
MetaAI. 2024 · 2024
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Models - OpenAI API
OpenAI. 2024 · 2024
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Hung Phan, Anurag Acharya, Sarthak Chaturvedi, Shivam Sharma, Mike Parker, Dan Nally, Ali Jannesari, Karl Pazdernik, Mahantesh Halappanavar, Sai Munikoti, and Sameera Horawalavithana. 2024 · 2024
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BitPeak — bitpeak.pl
Konrad Rucinski. 2024 · 2024
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Chunking Strategies Optimization for Retrieval Augmented Generation (RAG) in the Context of… — thallyscostalat
thallyscostalat. 2024 · 2024
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Chancellor R. Woolsey, Prakash Bisht, Joshua Rothman, and Gondy Leroy. 2024 · 2024
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Corrective Retrieval Augmented Generation
Shi-Qi Yan, Jia-Chen Gu, Yun Zhu, and Zhen-Hua Ling. 2024 · 2024
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