---
title: "Information Systems — papers, page 2"
description: "Information Systems: 402 papers of the Elamur Research library · page 2 of 5 · 26–125, the most cited first — our summary of each, its ideas, references…"
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---
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# 🗄️ Information Systems

402 papers · page 2 of 5 · 26–125 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Information Systems is a subfield of Computer Science in the OpenAlex classification of science. The topics most of its papers here are on: «Information Retrieval and Search Behavior», «Software Engineering Research», «Recommender Systems and Techniques».

## Papers

[← prev](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) [1](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) **2** [3](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/page/3/) [4](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/page/4/) [5](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/page/5/) [next →](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/page/3/)

26. [**Learning Question Classifiers**Xin Li, Dan Roth*2002 · 1,645 citations*](https://md.research.elamur.ai/free/en/papers/li-2002-learning-question-classifiers/)
27. [**Competition-Level Code Generation with AlphaCode**Yujia Li, David Choi, Junyoung Chung, et al.*2022 · 1,543 citations*](https://md.research.elamur.ai/free/en/papers/li-2022-competition-level-code-generation-alphacode/)
28. [**Open Information Extraction from the Web**Michele Banko, Michael J. Cafarella, Stephen Soderland, et al.*2007 · 1,459 citations*](https://md.research.elamur.ai/free/en/papers/banko-2007-open-information-extraction-web/)
29. [**Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects**Jianmo Ni, Jiacheng Li, Julian McAuley*2019 · 1,421 citations*](https://md.research.elamur.ai/free/en/papers/ni-2019-justifying-recommendations-distantly-labeled-reviews/)
30. [**Code Llama: Open Foundation Models for Code**Baptiste Rozière, Jonas Gehring, Fabian Gloeckle, et al.*2024 · 1,399 citations*](https://md.research.elamur.ai/free/en/papers/roziere-2024-code-llama-open-foundation-models/)
31. [**V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure**Andrew Rosenberg, Julia Hirschberg*2007 · 1,279 citations*](https://md.research.elamur.ai/free/en/papers/rosenberg-2007-vmeasure-conditional-entropy-cluster-evaluation/)
32. [**Latent Retrieval for Weakly Supervised Open Domain Question Answering**Kenton Lee, Ming-Wei Chang, Kristina Toutanova*2019 · 1,234 citations*](https://md.research.elamur.ai/free/en/papers/lee-2019-latent-retrieval-weakly-supervised-open/)
33. [**M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation**Jianlv Chen, Shitao Xiao, Peitian Zhang, et al.*2024 · 1,196 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-m3-embedding-multi-linguality/)
34. [**PubMedQA: A Dataset for Biomedical Research Question Answering**Qiao Jin, Bhuwan Dhingra, Zhengping Liu, et al.*2019 · 1,152 citations*](https://md.research.elamur.ai/free/en/papers/jin-2019-pubmedqa-dataset-biomedical-research-question/)
35. [**Program Synthesis with Large Language Models**Jacob Austin, Augustus Odena, Maxwell Nye, et al.*2021 · 1,136 citations*](https://md.research.elamur.ai/free/en/papers/austin-2021-program-synthesis-large-language-models/)
36. [**WikiQA: A Challenge Dataset for Open-Domain Question Answering**Yi Yang, Wen-tau Yih, Christopher Meek*2015 · 1,117 citations*](https://md.research.elamur.ai/free/en/papers/yang-2015-wikiqa-challenge-dataset-open-domain/)
37. [**Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking**Hannah Rashkin, Eunsol Choi, Jin Yea Jang, et al.*2017 · 1,072 citations*](https://md.research.elamur.ai/free/en/papers/rashkin-2017-truth-varying-shades-analyzing-language/)
38. [**QuAC: Question Answering in Context**Eunsol Choi, He He, Mohit Iyyer, et al.*2018 · 1,057 citations*](https://md.research.elamur.ai/free/en/papers/choi-2018-quac-question-answering-context/)
39. [**A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models**Wenqi Fan; Yujuan Ding; Liangbo Ning; Shijie Wang; Hengyun Li; Dawei Yin; Tat-Seng Chua;, Qing Li*2024 · 1,006 citations*](https://md.research.elamur.ai/free/en/papers/fan-2024-survey-rag-meeting-llms-towards/)
40. [**Learning surface text patterns for a Question Answering System**Deepak Ravichandran, Eduard Hovy*2002 · 970 citations*](https://md.research.elamur.ai/free/en/papers/ravichandran-2002-learning-surface-text-patterns-question/)
41. [**GPQA: A Graduate-Level Google-Proof Q&A Benchmark**David Rein, Betty Li Hou, Asa Cooper Stickland, et al.*2023 · 964 citations*](https://md.research.elamur.ai/free/en/papers/rein-2023-gpqa-graduate-level-google-proof/)
42. [**Reciprocal Rank Fusion Outperforms Condorcet and Individual Rank Learning Methods**Gordon V. Cormack, Charles L. A. Clarke, Stefan Büttcher*2009 · 937 citations*](https://md.research.elamur.ai/free/en/papers/cormack-2009-reciprocal-rank-fusion-outperforms/)
43. [**A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT**Jules White, Quchen Fu, Sam Hays, et al.*2023 · 899 citations*](https://md.research.elamur.ai/free/en/papers/white-2023-prompt-pattern-catalog-enhance-prompt/)
44. [**TAGME: On-the-fly Annotation of Short Text Fragments (by Wikipedia Entities)**Paolo Ferragina, Ugo Scaiella*2010 · 849 citations*](https://md.research.elamur.ai/free/en/papers/ferragina-2010-tagme-fly-annotation-short/)
45. [**Unsupervised Dense Information Retrieval with Contrastive Learning**Gautier Izacard, Mathilde Caron, Lucas Hosseini, et al.*2021 · 824 citations*](https://md.research.elamur.ai/free/en/papers/izacard-2021-unsupervised-dense-information-retrieval-contrastive/)
46. [**A New Dataset and Method for Automatically Grading ESOL Texts**Helen Yannakoudakis, Ted Briscoe, Ben Medlock*2011 · 813 citations*](https://md.research.elamur.ai/free/en/papers/yannakoudakis-2011-new-dataset-method-automatically-grading/)
47. [**A Stylometric Inquiry into Hyperpartisan and Fake News**Martin Potthast, Johannes Kiesel, Kevin Reinartz, et al.*2018 · 808 citations*](https://md.research.elamur.ai/free/en/papers/potthast-2018-stylometric-inquiry-into-hyperpartisan-fake/)
48. [**Finding Deceptive Opinion Spam by Any Stretch of the Imagination**Myle Ott, Yejin Choi, Claire Cardie, et al.*2011 · 806 citations*](https://md.research.elamur.ai/free/en/papers/ott-2011-finding-deceptive-opinion-spam-any/)
49. [**A Syntactic Neural Model for General-Purpose Code Generation**Pengcheng Yin, Graham Neubig*2017 · 772 citations*](https://md.research.elamur.ai/free/en/papers/yin-2017-syntactic-neural-model-general-purpose/)
50. [**UniXcoder: Unified Cross-Modal Pre-training for Code Representation**Daya Guo, Shuai Lu, Nan Duan, et al.*2022 · 768 citations*](https://md.research.elamur.ai/free/en/papers/guo-2022-unixcoder-unified-cross-modal-pre/)
51. [**Rumor has it: Identifying Misinformation in Microblogs**Vahed Qazvinian, Emily Rosengren, Dragomir R. Radev, et al.*2011 · 764 citations*](https://md.research.elamur.ai/free/en/papers/qazvinian-2011-rumor-has-it-identifying-misinformation/)
52. [**Unified Pre-training for Program Understanding and Generation**Wasi Ahmad, Saikat Chakraborty, Baishakhi Ray, et al.*2021 · 746 citations*](https://md.research.elamur.ai/free/en/papers/ahmad-2021-unified-pre-training-program-understanding/)
53. [**Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning**Jing Ma, Wei Gao, Kam-Fai Wong*2017 · 713 citations*](https://md.research.elamur.ai/free/en/papers/ma-2017-detect-rumors-microblog-posts-propagation/)
54. [**Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions**Harsh Trivedi, Niranjan Balasubramanian, Tushar Khot, et al.*2022 · 711 citations*](https://md.research.elamur.ai/free/en/papers/trivedi-2022-interleaving-retrieval-chain-thought-reasoning/)
55. [**Rumor Detection on Twitter with Tree-structured Recursive Neural Networks**Jing Ma, Wei Gao, Kam-Fai Wong*2018 · 706 citations*](https://md.research.elamur.ai/free/en/papers/ma-2018-rumor-detection-twitter-tree-structured/)
56. [**The Web as a Parallel Corpus**Philip Resnik, Noah A. Smith*2003 · 703 citations*](https://md.research.elamur.ai/free/en/papers/resnik-2003-web-as-parallel-corpus/)
57. [**SPECTER: Document-level Representation Learning using Citation-informed Transformers**Arman Cohan, Sergey Feldman, Iz Beltagy, et al.*2020 · 690 citations*](https://md.research.elamur.ai/free/en/papers/cohan-2020-specter-document-level-representation-learning/)
58. [**WebGPT: Browser-assisted question-answering with human feedback**Reiichiro Nakano, Jacob Hilton, Suchir Balaji, et al.*2021 · 687 citations*](https://md.research.elamur.ai/free/en/papers/nakano-2021-webgpt-browser-assisted-question-answering/)
59. [**ELI5: Long Form Question Answering**Angela Fan, Yacine Jernite, Ethan Perez, et al.*2019 · 682 citations*](https://md.research.elamur.ai/free/en/papers/fan-2019-eli5-long-form-question-answering/)
60. [**Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval**Lee Xiong, Chenyan Xiong, Ye Li, et al.*2020 · 681 citations*](https://md.research.elamur.ai/free/en/papers/xiong-2020-approximate-nearest-neighbor-negative-contrastive/)
61. [**Evaluation methods for unsupervised word embeddings**Tobias Schnabel, Igor Labutov, David Mimno, et al.*2015 · 669 citations*](https://md.research.elamur.ai/free/en/papers/schnabel-2015-evaluation-methods-unsupervised-word-embeddings/)
62. [**Passage Re-ranking with BERT**Rodrigo Nogueira, Kyunghyun Cho*2019 · 667 citations*](https://md.research.elamur.ai/free/en/papers/nogueira-2019-passage-re-ranking-bert/)
63. [**A Neural Approach to Automated Essay Scoring**Kaveh Taghipour, Hwee Tou Ng*2016 · 652 citations*](https://md.research.elamur.ai/free/en/papers/taghipour-2016-neural-approach-automated-essay-scoring/)
64. [**CodeSearchNet Challenge: Evaluating the State of Semantic Code Search**Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit, et al.*2020 · 647 citations*](https://md.research.elamur.ai/free/en/papers/husain-2020-codesearchnet-challenge-evaluating-state-semantic/)
65. [**Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation**Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang, et al.*2023 · 632 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-your-code-generated-chatgpt-really/)
66. [**Benchmarking Large Language Models in Retrieval-Augmented Generation**Jiawei Chen, Hongyu Lin, Xianpei Han, et al.*2023 · 624 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-benchmarking-large-language-models-retrieval/)
67. [**Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots**Yu Wu, Wei Wu, Chen Xing, et al.*2017 · 624 citations*](https://md.research.elamur.ai/free/en/papers/wu-2017-sequential-matching-network-new-architecture/)
68. [**SWE-bench: Can Language Models Resolve Real-World GitHub Issues?**Carlos E. Jimenez, John Yang, Alexander Wettig, et al.*2024 · 617 citations*](https://md.research.elamur.ai/free/en/papers/jimenez-2024-swe-bench-can-language-models/)
69. [**MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework**Sirui Hong, Mingchen Zhuge, Jiaqi Chen, et al.*2023 · 615 citations*](https://md.research.elamur.ai/free/en/papers/hong-2023-metagpt-meta-programming-multi/)
70. [**RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering**Yingqi Qu, Yuchen Ding, Jing Liu, et al.*2021 · 601 citations*](https://md.research.elamur.ai/free/en/papers/qu-2021-rocketqa-optimized-training-approach-dense/)
71. [**Text Embeddings by Weakly-Supervised Contrastive Pre-training**Liang Wang, Nan Yang, Xiaolong Huang, et al.*2022 · 594 citations*](https://md.research.elamur.ai/free/en/papers/wang-2022-text-embeddings-weakly-supervised-contrastive/)
72. [**Multilingual Universal Sentence Encoder for Semantic Retrieval**Yinfei Yang, Daniel Cer, Amin Ahmad, et al.*2020 · 571 citations*](https://md.research.elamur.ai/free/en/papers/yang-2020-multilingual-universal-sentence-encoder-semantic/)
73. [**MIND: A Large-scale Dataset for News Recommendation**Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, et al.*2020 · 562 citations*](https://md.research.elamur.ai/free/en/papers/wu-2020-mind-large-scale-dataset-news/)
74. [**Simple and Effective Multi-Paragraph Reading Comprehension**Christopher Clark, Matt Gardner*2017 · 556 citations*](https://md.research.elamur.ai/free/en/papers/clark-2017-simple-effective-multi-paragraph-reading/)
75. [**Qwen2.5-Coder Technical Report**Binyuan Hui, Jian Yang, Zeyu Cui, et al.*2024 · 547 citations*](https://md.research.elamur.ai/free/en/papers/hui-2024-qwen2-5-coder-technical-report/)
76. [**Precise Zero-Shot Dense Retrieval without Relevance Labels**Luyu Gao, Xueguang Ma, Jimmy Lin, et al.*2022 · 545 citations*](https://md.research.elamur.ai/free/en/papers/gao-2022-precise-zero-shot-dense-retrieval/)
77. [**BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis**Hu Xu, Bing Liu, Lei Shu, et al.*2019 · 544 citations*](https://md.research.elamur.ai/free/en/papers/xu-2019-bert-post-training-review-reading/)
78. [**SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine**Matthew Dunn, Levent Sagun, Mike Higgins, et al.*2017 · 543 citations*](https://md.research.elamur.ai/free/en/papers/dunn-2017-searchqa-new-q-dataset-augmented/)
79. [**LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code**Naman Jain, King Han, Alex Gu, et al.*2024 · 540 citations*](https://md.research.elamur.ai/free/en/papers/jain-2024-livecodebench-holistic-contamination-free-evaluation/)
80. [**What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams**Di Jin, Eileen Pan, Nassim Oufattole, et al.*2020 · 540 citations*](https://md.research.elamur.ai/free/en/papers/jin-2020-disease-this-patient-have-large/)
81. [**End-to-End Open-Domain Question Answering with BERTserini**Wei Yang, Yuqing Xie, Aileen Lin, et al.*2019 · 539 citations*](https://md.research.elamur.ai/free/en/papers/yang-2019-end-end-open-domain-question/)
82. [**Document Ranking with a Pretrained Sequence-to-Sequence Model**Rodrigo Nogueira, Zhiying Jiang, Ronak Pradeep, et al.*2020 · 538 citations*](https://md.research.elamur.ai/free/en/papers/nogueira-2020-document-ranking-pretrained-sequence-sequence/)
83. [**Using Semantic Roles to Improve Question Answering**Dan Shen, Mirella Lapata*2007 · 522 citations*](https://md.research.elamur.ai/free/en/papers/shen-2007-semantic-roles-improve-question-answering/)
84. [**Crowdsourcing Multiple Choice Science Questions**Johannes Welbl, Nelson F. Liu, Matt Gardner*2017 · 513 citations*](https://md.research.elamur.ai/free/en/papers/welbl-2017-crowdsourcing-multiple-choice-science-questions/)
85. [**SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking**Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant*2021 · 510 citations*](https://md.research.elamur.ai/free/en/papers/formal-2021-splade-sparse-lexical-expansion/)
86. [**SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering**John Yang, Carlos E. Jimenez, Alexander Wettig, et al.*2024 · 507 citations*](https://md.research.elamur.ai/free/en/papers/yang-2024-swe-agent-agent-computer-interfaces/)
87. [**What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA**Mengqiu Wang, Noah A. Smith, Teruko Mitamura*2007 · 503 citations*](https://md.research.elamur.ai/free/en/papers/wang-2007-what-is-jeopardy-model-quasi/)
88. [**Sparse, Dense, and Attentional Representations for Text Retrieval**Yi Luan, Jacob Eisenstein, Kristina Toutanova, et al.*2021 · 500 citations*](https://md.research.elamur.ai/free/en/papers/luan-2021-sparse-dense-attentional-representations-text/)
89. [**Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents**Weiwei Sun, Lingyong Yan, Xinyu Ma, et al.*2023 · 493 citations*](https://md.research.elamur.ai/free/en/papers/sun-2023-chatgpt-good-search-investigating-large/)
90. [**REPLUG: Retrieval-Augmented Black-Box Language Models**Weijia Shi, Sewon Min, Michihiro Yasunaga, et al.*2023 · 482 citations*](https://md.research.elamur.ai/free/en/papers/shi-2023-replug-retrieval-augmented-black-box/)
91. [**Enabling Large Language Models to Generate Text with Citations**Tianyu Gao, Howard Yen, Jiatong Yu, et al.*2023 · 477 citations*](https://md.research.elamur.ai/free/en/papers/gao-2023-enabling-large-language-models-generate/)
92. [**ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction**Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, et al.*2022 · 477 citations*](https://md.research.elamur.ai/free/en/papers/santhanam-2022-colbertv2-effective-efficient-retrieval-lightweight/)
93. [**Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval**Xiaodong Liu, Jianfeng Gao, Xiaodong He, et al.*2015 · 463 citations*](https://md.research.elamur.ai/free/en/papers/liu-2015-representation-learning-multi-task-deep/)
94. [**CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X**Qinkai Zheng, Xiao Xia, Xu Zou, et al.*2023 · 462 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2023-codegeex-pre-trained-model-code/)
95. [**Defending Against Neural Fake News**Rowan Zellers, Ari Holtzman, Hannah Rashkin, et al.*2019 · 461 citations*](https://md.research.elamur.ai/free/en/papers/zellers-2019-defending-against-neural-fake-news/)
96. [**Paraphrase-Driven Learning for Open Question Answering**Anthony Fader, Luke Zettlemoyer, Oren Etzioni*2013 · 438 citations*](https://md.research.elamur.ai/free/en/papers/fader-2013-paraphrase-driven-learning-open-question/)
97. [**SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours**Leon Derczynski, Kalina Bontcheva, Maria Liakata, et al.*2017 · 427 citations*](https://md.research.elamur.ai/free/en/papers/derczynski-2017-semeval-2017-task-8-rumoureval/)
98. [**Benchmarking Retrieval-Augmented Generation for Medicine**Guangzhi Xiong, Qiao Jin, Zhiyong Lu, et al.*2024 · 426 citations*](https://md.research.elamur.ai/free/en/papers/xiong-2024-benchmarking-retrieval-augmented-generation-medicine/)
99. [**Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling**Sebastian Hofstatter, Sheng-Chieh Lin, Jheng-Hong Yang, et al.*2021 · 425 citations*](https://md.research.elamur.ai/free/en/papers/hofstatter-2021-efficiently-teaching-effective-dense-retriever/)
100. [**Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering**Shamane Siriwardhana, Rivindu Weerasekera, Elliott Wen, et al.*2023 · 403 citations*](https://md.research.elamur.ai/free/en/papers/siriwardhana-2023-improving-domain-adaptation-retrieval-augmented/)
101. [**UMBC_EBIQUITY-CORE: Semantic Textual Similarity Systems**Lushan Han, Abhay L. Kashyap, Tim Finin, et al.*2013 · 397 citations*](https://md.research.elamur.ai/free/en/papers/han-2013-umbc-ebiquity-core-semantic-textual/)
102. [**TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance**Fengbin Zhu, Wenqiang Lei, Youcheng Huang, et al.*2021 · 396 citations*](https://md.research.elamur.ai/free/en/papers/zhu-2021-tat-qa-question-answering-benchmark/)
103. [**Okapi at TREC-3**Stephen E. Robertson, Steve Walker, Susan Jones, et al.*1994 · 394 citations*](https://md.research.elamur.ai/free/en/papers/robertson-1994-okapi-trec-3/)
104. [**DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning**Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, et al.*2018 · 388 citations*](https://md.research.elamur.ai/free/en/papers/popat-2018-declare-debunking-fake-news-false/)
105. [**Query Rewriting in Retrieval-Augmented Large Language Models**Xinbei Ma, Yeyun Gong, Pengcheng He, et al.*2023 · 383 citations*](https://md.research.elamur.ai/free/en/papers/ma-2023-query-rewriting-retrieval-augmented-large/)
106. [**Retrieval Augmentation Reduces Hallucination in Conversation**Kurt Shuster, Spencer Poff, Moya Chen, et al.*2021 · 382 citations*](https://md.research.elamur.ai/free/en/papers/shuster-2021-retrieval-augmentation-reduces-hallucination-conversation/)
107. [**Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity**Soyeong Jeong, Jinheon Baek, Sukmin Cho, et al.*2024 · 381 citations*](https://md.research.elamur.ai/free/en/papers/jeong-2024-adaptive-rag-learning-adapt-retrieval/)
108. [**Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy**Zhihong Shao, Yeyun Gong, Yelong Shen, et al.*2023 · 381 citations*](https://md.research.elamur.ai/free/en/papers/shao-2023-enhancing-retrieval-augmented-large-language/)
109. [**PyTorch Distributed: Experiences on Accelerating Data Parallel Training**Shen Li, Yanli Zhao, Rohan Varma, et al.*2020 · 380 citations*](https://md.research.elamur.ai/free/en/papers/li-2020-pytorch-distributed-experiences-accelerating-data/)
110. [**Towards General Text Embeddings with Multi-stage Contrastive Learning**Zehan Li, Xin Zhang, Yanzhao Zhang, et al.*2023 · 378 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-towards-general-text-embeddings-multi/)
111. [**Mind2Web: Towards a Generalist Agent for the Web**Xiang Deng, Yu Gu, Boyuan Zheng, et al.*2023 · 376 citations*](https://md.research.elamur.ai/free/en/papers/deng-2023-mind2web-towards-generalist-agent-web/)
112. [**MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension**Adam Fisch, Alon Talmor, Robin Jia, et al.*2019 · 375 citations*](https://md.research.elamur.ai/free/en/papers/fisch-2019-mrqa-2019-shared-task-evaluating/)
113. [**TopicRank: Graph-Based Topic Ranking for Keyphrase Extraction**Adrien Bougouin, Florian Boudin, Béatrice Daille*2013 · 374 citations*](https://md.research.elamur.ai/free/en/papers/bougouin-2013-topicrank-graph-based-topic-ranking/)
114. [**ChatDev: Communicative Agents for Software Development**Chen Qian, Wei Liu, Hongzhang Liu, et al.*2023 · 373 citations*](https://md.research.elamur.ai/free/en/papers/qian-2023-chatdev-communicative-agents-software/)
115. [**A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers**Pradeep Dasigi, Kyle Lo, Iz Beltagy, et al.*2021 · 372 citations*](https://md.research.elamur.ai/free/en/papers/dasigi-2021-dataset-information-seeking-questions-answers/)
116. [**WebArena: A Realistic Web Environment for Building Autonomous Agents**Shuyan Zhou, Frank F. Xu, Hao Zhu, et al.*2023 · 371 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2023-webarena-realistic-web-environment-building/)
117. [**Question Generation for Question Answering**Nan Duan, Duyu Tang, Peng Chen, et al.*2017 · 370 citations*](https://md.research.elamur.ai/free/en/papers/duan-2017-question-generation-question-answering/)
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