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In scientific research, the ability to effectively retrieve relevant documents based on complex, multifaceted queries is critical.
A statistical interpretation of term specificity and its application in retrieval
K. Sparck Jones · 1972
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Multiple comparisons: theory and methods
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The anatomy of a large-scale hypertextual web search engine
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Semantic search
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Bonferroni correction
E. W. Weisstein · 2004
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Learning to rank using gradient descent
C. Burges, T. Shaked, E. Renshaw, A. Lazier, M. Deeds, N. Hamilton, and G. Hullender · 2005
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Bonferroni and šidák corrections for multiple comparisons
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Collaborative filtering for implicit feedback datasets
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Personalized academic research paper recommendation system
J. Lee, K. Lee, and J. G. Kim · 2013
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Explore-by-example: An automatic query steering framework for interactive data exploration
K. Dimitriadou, O. Papaemmanouil, and Y. Diao · 2014
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Improvements to bm25 and language models examined
A. Trotman, A. Puurula, and B. Burgess · 2014
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A large annotated corpus for learning natural language inference
S. Bowman, G. Angeli, C. Potts, and C. D. Manning · 2015
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A large annotated corpus for learning natural language inference
S. R. Bowman, G. Angeli, C. Potts, and C. D. Manning · 2015
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Wikiqa: A challenge dataset for open-domain question answering
Y. Yang, W.-t. Yih, and C. Meek · 2015
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Information retrieval: Implementing and evaluating search engines
S. Buttcher, C. L. Clarke, and G. V. Cormack · 2016
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Ms marco: A human generated machine reading comprehension dataset
T. Nguyen, M. Rosenberg, X. Song, J. Gao, S. Tiwary, R. Majumder, and L. Deng · 2016
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Defining and supporting narrative-driven recommendation
T. Bogers and M. Koolen · 2017
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Making neural QA as simple as possible but not simpler
D. Weissenborn, G. Wiese, and L. Seiffe · 2017
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Solvent: A mixed initiative system for finding analogies between research papers
J. Chan, J. C. Chang, T. Hope, D. Shahaf, and A. Kittur · 2018
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Think you have solved question answering? try arc, the ai2 reasoning challenge
P. Clark, I. Cowhey, O. Etzioni, T. Khot, A. Sabharwal, C. Schoenick, and O. Tafjord · 2018
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Seq2seq dependency parsing
Z. Li, J. Cai, S. He, and H. Zhao · 2018
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Interpretation of natural language rules in conversational machine reading
M. Saeidi, M. Bartolo, P. Lewis, S. Singh, T. Rocktäschel, M. Sheldon, G. Bouchard, and S. Riedel · 2018
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A broad-coverage challenge corpus for sentence understanding through inference
A. Williams, N. Nangia, and S. Bowman · 2018
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Hotpotqa: A dataset for diverse, explainable multi-hop question answering
Z. Yang, P. Qi, S. Zhang, Y. Bengio, W. Cohen, R. Salakhutdinov, and C. D. Manning · 2018
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Cross-domain modeling of sentence-level evidence for document retrieval
Z. Akkalyoncu Yilmaz, W. Yang, H. Zhang, and J. Lin · 2019
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Scibert: A pretrained language model for scientific text
I. Beltagy, K. Lo, and A. Cohan · 2019
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Large expert-curated database for benchmarking document similarity detection in biomedical literature search
P. Brown, R. Consortium, and Y. Zhou · 2019
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Natural questions: a benchmark for question answering research
T. Kwiatkowski, J. Palomaki, O. Redfield, M. Collins, A. Parikh, C. Alberti, D. Epstein, I. Polosukhin, M. Kelcey, J. Devlin, K. Lee, K. N. Toutanova, L. Jones, M.-W. Chang, A. Dai, J. Uszkoreit, Q. Le, and S. Petrov · 2019
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Example-based search: A new frontier for exploratory search
M. Lissandrini, D. Mottin, T. Palpanas, and Y. Velegrakis · 2019
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Evaluation of scientific elements for text similarity in biomedical publications
M. Neves, D. Butzke, and B. Grune · 2019
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Coqa: A conversational question answering challenge
S. Reddy, D. Chen, and C. D. Manning · 2019
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Sentence-bert: Sentence embeddings using siamese bert-networks
N. Reimers and I. Gurevych · 2019
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Complex question decomposition for semantic parsing
H. Zhang, J. Cai, J. Xu, and J. Wang · 2019
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Language models are few-shot learners
T. Brown, B. Mann, N. Ryder, M. Subbiah, J. D. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell, S. Agarwal, A. Herbert-Voss, G. Krueger, T. Henighan, R. Child, A. Ramesh, D. Ziegler, J. Wu, C. Winter, C. Hesse, M. Chen, E. Sigler, M. Litwin, S. Gray, B. Chess, J. Clark, C. Berner, S. McCandlish, A. Radford, I. Sutskever, and D. Amodei · 2020
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Open-domain question answering
Biomedical question answering: A survey of approaches and challenges
Q. Jin, Z. Yuan, G. Xiong, Q. Yu, H. Ying, C. Tan, M. Chen, S. Huang, X. Liu, and S. Yu · 2022
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Large language models are zero-shot reasoners
T. Kojima, S. S. Gu, M. Reid, Y. Matsuo, and Y. Iwasawa · 2022
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Dependency parsing via sequence generation
B. Lin, Z. Yao, J. Shi, S. Cao, B. Tang, S. Li, Y. Luo, J. Li, and L. Hou · 2022
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A token-level reference-free hallucination detection benchmark for free-form text generation
T. Liu, Y. Zhang, C. Brockett, Y. Mao, Z. Sui, W. Chen, and B. Dolan · 2022
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Ernie-search: Bridging cross-encoder with dual-encoder via self on-the-fly distillation for dense passage retrieval, 2022
Y. Lu, Y. Liu, J. Liu, Y. Shi, Z. Huang, S. F. Y. Sun, H. Tian, H. Wu, S. Wang, D. Yin, and H. Wang · 2022
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alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
D. Chen and W.-t. Yih · 2020
Cited alongside, same era.
Specter: Document-level representation learning using citation-informed transformers
A. Cohan, S. Feldman, I. Beltagy, D. Downey, and D. S. Weld · 2020
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T. Gebru, J. Morgenstern, B. Vecchione, J. W. Vaughan, H. Wallach, H. Daumeé III, and K. Crawford · 2020
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Dense passage retrieval for open-domain question answering
V. Karpukhin, B. Oguz, S. Min, P. Lewis, L. Wu, S. Edunov, D. Chen, and W.-t. Yih · 2020
Cited alongside, same era.
Colbert: Efficient and effective passage search via contextualized late interaction over bert
O. Khattab and M. Zaharia · 2020
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Non-determinism in tensorflow resnets
M. Morin and M. Willetts · 2020
Cited alongside, same era.
Contextual document similarity for content-based literature recommender systems
M. Ostendorff · 2020
Cited alongside, same era.
S. MacAvaney, S. Feldman, N. Goharian, D. Downey, and A. Cohan · 2022
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Rethinking the role of demonstrations: What makes in-context learning work?
S. Min, X. Lyu, A. Holtzman, M. Artetxe, M. Lewis, H. Hajishirzi, and L. Zettlemoyer · 2022
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Multi-vector models with textual guidance for fine-grained scientific document similarity
S. Mysore, A. Cohan, and T. Hope · 2022
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Training language models to follow instructions with human feedback
L. Ouyang, J. Wu, X. Jiang, D. Almeida, C. Wainwright, P. Mishkin, C. Zhang, S. Agarwal, K. Slama, A. Ray, et al · 2022
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Multitask prompted training enables zero-shot task generalization
V. Sanh, A. Webson, C. Raffel, S. H. Bach, L. Sutawika, Z. Alyafeai, A. Chaffin, A. Stiegler, T. Le Scao, A. Raja, et al · 2022
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Colbertv2: Effective and efficient retrieval via lightweight late interaction
K. Santhanam, O. Khattab, J. Saad-Falcon, C. Potts, and M. Zaharia · 2022
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A neural corpus indexer for document retrieval
Y. Wang, Y. Hou, H. Wang, Z. Miao, S. Wu, Q. Chen, Y. Xia, C. Chi, G. Zhao, Z. Liu, X. Xie, H. Sun, W. Deng, Q. Zhang, and M. Yang · 2022
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Chain-of-thought prompting elicits reasoning in large language models
J. Wei, X. Wang, D. Schuurmans, M. Bosma, b. ichter, F. Xia, E. Chi, Q. V. Le, and D. Zhou · 2022
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Learning to decompose: Hypothetical question decomposition based on comparable texts
B. Zhou, K. Richardson, X. Yu, and D. Roth · 2022
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Y. Bang, S. Cahyawijaya, N. Lee, W. Dai, D. Su, B. Wilie, H. Lovenia, Z. Ji, T. Yu, W. Chung, et al · 2023
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Perspectives on large language models for relevance judgment, 2023
G. Faggioli, L. Dietz, C. Clarke, G. Demartini, M. Hagen, C. Hauff, N. Kando, E. Kanoulas, M. Potthast, B. Stein, and H. Wachsmuth · 2023
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Chatgpt outperforms crowd-workers for text-annotation tasks
F. Gilardi, M. Alizadeh, and M. Kubli · 2023
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New and improved embedding model
R. Greene, T. Sanders, L. Weng, and A. Neelakantan · 2023
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The semantic scholar open data platform
R. M. Kinney, C. Anastasiades, R. Authur, I. Beltagy, J. Bragg, A. Buraczynski, I. Cachola, S. Candra, Y. Chandrasekhar, A. Cohan, M. Crawford, D. Downey, J. Dunkelberger, O. Etzioni, R. Evans, S. Feldman, J. Gorney, D. W. Graham, F. Hu, R. Huff, D. King, S. Kohlmeier, B. Kuehl, M. Langan, D. Lin, H. Liu, K. Lo, J. Lochner, K. MacMillan, T. Murray, C. Newell, S. Rao, S. Rohatgi, P. L. Sayre, Z. Shen, A. Singh, L. Soldaini, S. Subramanian, A. Tanaka, A. D. Wade, L. M. Wagner, L. L. Wang, C. Wilhelm, C. Wu, J. Yang, A. Zamarron, M. van Zuylen, and D. S. Weld · 2023
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L. Kuhn, Y. Gal, and S. Farquhar · 2023
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Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing
P. Liu, W. Yuan, J. Fu, Z. Jiang, H. Hayashi, and G. Neubig · 2023
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One-shot labeling for automatic relevance estimation
S. MacAvaney and L. Soldaini · 2023
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Selfcheckgpt: Zero-resource black-box hallucination detection for generative large language models
P. Manakul, A. Liusie, and M. J. Gales · 2023
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Large language model augmented narrative driven recommendations, 2023
S. Mysore, A. McCallum, and H. Zamani · 2023
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Is chatgpt a general-purpose natural language processing task solver?
C. Qin, A. Zhang, Z. Zhang, J. Chen, M. Yasunaga, and D. Yang · 2023
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P. Törnberg · 2023
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Llama: Open and efficient foundation language models
H. Touvron, T. Lavril, G. Izacard, X. Martinet, M.-A. Lachaux, T. Lacroix, B. Rozière, N. Goyal, E. Hambro, F. Azhar, A. Rodriguez, A. Joulin, E. Grave, and G. Lample · 2023
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Treepiece: Faster semantic parsing via tree tokenization
S. Wang, A. Shrivastava, and S. Livshits · 2023
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