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Retrieval Augmented Code Generation and Summarization, EMNLP-Findings 2021
Md Rizwan Parvez, Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang [pdf], 2021.8.26
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Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge, AAAI-22
Yoonna Jang, Jungwoo Lim, Yuna Hur, Dongsuk Oh, Suhyune Son, Yeonsoo Lee, Donghoon Shin, Seungryong Kim, Heuiseok Lim [pdf], 2021.12.16
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Retrieving Multimodal Information for Augmented Generation: A Survey, Arxiv
Ruochen Zhao, Hailin Chen, Weishi Wang, Fangkai Jiao, Xuan Long Do, Chengwei Qin, Bosheng Ding, Xiaobao Guo, Minzhi Li, Xingxuan Li, Shafiq Joty [pdf], 2023.3.20
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Combining Contexts from Multiple Sources for Documentation-Specific Code Example Generation, Arxiv
Junaed Younus Khan, Gias Uddin [pdf], 2023.3.25
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LeanDojo: Theorem Proving with Retrieval-Augmented Language Models, NeurIPS 2023
Kaiyu Yang, Aidan M. Swope, Alex Gu, Rahul Chalamala, Peiyang Song, Shixing Yu, Saad Godil, Ryan Prenger, Anima Anandkumar [pdf], 2023.6.27
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METATOOL BENCHMARK FOR LARGE LANGUAGE MODELS: DECIDING WHETHER TO USE TOOLS AND WHICH TO USE
Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, Lichao Sun [pdf], 2023.10.4
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Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning
Yinger Zhang, Hui Cai, Yicheng Chen, Rui Sun, Jing Zheng [pdf], 2023.10.6
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Retrieve Anything To Augment Large Language Models
Peitian Zhang, Shitao Xiao, Zheng Liu, Zhicheng Dou, Jian-Yun Nie [pdf], 2023.10.11
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Language Agnostic Code Embeddings
Saiteja Utpala, Alex Gu, Pin Yu Chen [pdf], 2023.10.25
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Outlier Dimensions Encode Task-Specific Knowledge, EMNLP 2023
William Rudman, Catherine Chen, Carsten Eickhoff [pdf], 2023.10.26
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Uncovering Meanings of Embeddings via Partial Orthogonality
Yibo Jiang, Bryon Aragam, Victor Veitch [pdf], 2023.10.26
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TSTR: Target Similarity Tuning Meets the Real World, EMNLP-Findings 2023
Anirudh Khatry, Sumit Gulwani, Priyanshu Gupta, Vu Le, Ananya Singha, Mukul Singh, Gust Verbruggen* [pdf], 2023.10.26
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VoyageAI embedding
Tengyu Ma, etc. [blog], 2023.10.30
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Generative retrieval-augmented ontologic graph and multi-agent strategies for interpretive large language model-based materials design
Markus J. Buehler [pdf], 2023.10.30
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On Surgical Fine-tuning for Language Encoders EMNLP 2023
Abhilasha Lodha, Gayatri Belapurkar, Saloni Chalkapurkar, Yuanming Tao, Reshmi Ghosh, Samyadeep Basu, Dmitrii Petrov, Soundararajan Srinivasan [pdf], 2023.10.25
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Efficient Neural Ranking using Forward Indexes and Lightweight Encoders
Jurek Leonhardt, Henrik Müller, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand [pdf], 2023.11.2
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CRUSH4SQL: Collective Retrieval Using Schema Hallucination For Text2SQL, EMNLP 2023
Mayank Kothyari, Dhruva Dhingra, Sunita Sarawagi, Soumen Chakrabarti [pdf], 2023.11.2
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Multi-Step Dialogue Workflow Action Prediction
Ramya Ramakrishnan, Ethan Elenberg, Hashan Narangodage, Ryan McDonald [pdf], 2023.11.16
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Sequencing Matters: A Generate-Retrieve-Generate Model for Building Conversational Agents
Quinn Patwardhan, Grace Hui Yang [pdf], 2023.11.16
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Effective Large Language Model Adaptation for Improved Grounding
Xi Ye, Ruoxi Sun, Sercan Ö. Arik, Tomas Pfister [pdf]
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ATLANTIC: Structure-Aware Retrieval-Augmented Language Model for Interdisciplinary Science
Sai Munikoti, Anurag Acharya, Sridevi Wagle, Sameera Horawalavithana [pdf], 2023.11.21
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UniIR: Training and Benchmarking Universal Multimodal Information Retrievers
Cong Wei, Yang Chen, Haonan Chen, Hexiang Hu, Ge Zhang, Jie Fu, Alan Ritter, Wenhu Chen [pdf], 2023.11.28
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How to Build an AI Tutor that Can Adapt to Any Course and Provide Accurate Answers Using Large Language Model and Retrieval-Augmented Generation
Chenxi Dong [pdf], 2023.11.29
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A Video is Worth 10,000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval
Matthew Gwilliam, Michael Cogswell, Meng Ye, Karan Sikka, Abhinav Shrivastava, Ajay Divakaran [pdf], 2023.11.30
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Context Retrieval via Normalized Contextual Latent Interaction for Conversational Agent, 2023 IEEE International Conference on Data Mining Workshops (ICDMW)
Junfeng Liu, Zhuocheng Mei, Kewen Peng, Ranga Raju Vatsavai [pdf], 2023.12.1
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Explanatory Argument Extraction of Correct Answers in Resident Medical Exams
Iakes Goenaga, Aitziber Atutxa, Koldo Gojenola, Maite Oronoz, Rodrigo Agerri [pdf], 2023.12.1
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Event-driven Real-time Retrieval in Web Search
Nan Yang, Shusen Zhang, Yannan Zhang, Xiaoling Bai, Hualong Deng, Tianhua Zhou, Jin Ma [pdf], 2023.12.1
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D-Bot: Database Diagnosis System using Large Language Models
Xuanhe Zhou, Guoliang Li, Zhaoyan Sun, Zhiyuan Liu, Weize Chen, Jianming Wu, Jiesi Liu, Ruohang Feng, Guoyang Zeng [pdf], 2023.12.3
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Opportunities for Retrieval and Tool Augmented Large Language Models in Scientific Facilities
Michael H. Prince, Henry Chan, Aikaterini Vriza, Tao Zhou, Varuni K. Sastry, Matthew T. Dearing, Ross J. Harder, Rama K. Vasudevan, Mathew J. Cherukara [pdf], 2023.12.3
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ProTIP: Progressive Tool Retrieval Improves Planning
Raviteja Anantha, Bortik Bandyopadhyay, Anirudh Kashi, Sayantan Mahinder, Andrew W Hill, Srinivas Chappidi [pdf], 2023.12.16
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ControlLLM: Augment Language Models with Tools by Searching on Graphs
Zhaoyang Liu, Zeqiang Lai, Zhangwei Gao, Erfei Cui, Ziheng Li, Xizhou Zhu, Lewei Lu, Qifeng Chen, Yu Qiao, Jifeng Dai, Wenhai Wang [pdf], 2023.12.18
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TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems
Yilun Kong, Jingqing Ruan, Yihong Chen, Bin Zhang, Tianpeng Bao, Shiwei Shi, Guoqing Du, Xiaoru Hu, Hangyu Mao, Ziyue Li, Xingyu Zeng, Rui Zhao [pdf], 2023.12.19
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RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
Parth Sarthi, Salman Abdullah, Aditi Tuli, Shubh Khanna, Anna Goldie, Christopher D. Manning [pdf], 2024.01.31