MIR: Methodology Inspiration Retrieval for Scientific Research Problems

Undiscovered public knowledge

Don R. Swanson. 1986 · 1986

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Specter: Document-level representation learning using citation-informed transformers

Original

Arman Cohan, Sergey Feldman, Iz Beltagy, Doug Downey, and Daniel S. Weld. 2020 · 2004

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Retrieval-augmented generation for knowledge-intensive nlp tasks

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Patrick Lewis, Ethan Perez, Aleksandara Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Kuttler, Mike Lewis, Wen tau Yih, Tim Rocktäschel, Sebastian Riedel, and Douwe Kiela. 2020 · 2005

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Fairscholar: Balancing relevance and diversity for scientific paper recommendation

Ankesh Anand, Tanmoy Chakraborty, and Amitava Das. 2017 · 2017

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Using author-specified keywords in building an initial reading list of research papers in scientific paper retrieval and recommender systems

Aravind Sesagiri Raamkumar, Schubert Foo, and Natalie Pang. 2017 · 2017

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Scibert: A pretrained language model for scientific text

Iz Beltagy, Kyle Lo, and Arman Cohan. 2019 · 2019

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Bert: Pre-training of deep bidirectional transformers for language understanding

Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019

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Sentence-bert: Sentence embeddings using siamese bert-networks

Nils Reimers and Iryna Gurevych. 2019 · 2019

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Packed levitated marker for entity and relation extraction

Deming Ye, Yankai Lin, Peng Li, and Maosong Sun. 2021 · 2021

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LoRA: Low-rank adaptation of large language models

Edward J Hu, yelong shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2022 · 2022

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Multicite: Modeling realistic citations requires moving beyond the single-sentence single-label setting

Anne Lauscher, Brandon Ko, Bailey Kuehl, Sophie Johnson, Arman Cohan, David Jurgens, and Kyle Lo. 2022 · 2022

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Multi-vector models with textual guidance for fine-grained scientific document similarity

Sheshera Mysore, Arman Cohan, and Tom Hope. 2022 · 2022

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Specialized document embeddings for aspect-based similarity of research papers

Malte Ostendorff, Till Blume, Terry Ruas, Bela Gipp, and Georg Rehm. 2022a · 2022

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Neighborhood contrastive learning for scientific document representations with citation embeddings

Malte Ostendorff, Nils Rethmeier, Isabelle Augenstein, Bela Gipp, and Georg Rehm. 2022c · 2022

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Multi-objective representation learning for scientific document retrieval

Mathias Parisot and Jakub Zavrel. 2022 · 2022

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Scirepeval: A multi-format benchmark for scientific document representations

Amanpreet Singh, Mike D’Arcy, Arman Cohan, Doug Downey, and Sergey Feldman. 2022 · 2022

Cited alongside, same era.

The semantic scholar open data platform

Original

Rodney Michael Kinney, Chloe Anastasiades, Russell Authur, Iz Beltagy, Jonathan Bragg, Alexandra Buraczynski, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Arman Cohan, Miles Crawford, Doug Downey, Jason Dunkelberger, Oren Etzioni, Rob Evans, Sergey Feldman, Joseph Gorney, David W. Graham, F.Q. Hu, Regan Huff, Daniel King, Sebastian Kohlmeier, Bailey Kuehl, Michael Langan, Daniel Lin, Haokun Liu, Kyle Lo, Jaron Lochner, Kelsey MacMillan, Tyler C. Murray, Christopher Newell, Smita R Rao, Shaurya Rohatgi, Paul Sayre, Zejiang Shen, Amanpreet Singh, Luca Soldaini, Shivashankar Subramanian, A. Tanaka, Alex D Wade, Linda M. Wagner, Lucy Lu Wang, Christopher Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Madeleine van Zuylen, and Daniel S. Weld. 2023 · 2023

Generative representational instruction tuning

Original

Niklas Muennighoff, Hongjin Su, Liang Wang, Nan Yang, Furu Wei, Tao Yu, Amanpreet Singh, and Douwe Kiela. 2024 · 2024

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An interactive co-pilot for accelerated research ideation

Harshit Nigam, Manasi S. Patwardhan, Lovekesh Vig, and Gautam M. Shroff. 2024 · 2024

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Judgerank: Leveraging large language models for reasoning-intensive reranking

Original

Tong Niu, Shafiq Joty, Ye Liu, Caiming Xiong, Yingbo Zhou, and Semih Yavuz. 2024 · 2024

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Ideasynth: Iterative research idea development through evolving and composing idea facets with literature-grounded feedback

Original

Kevin Pu, K. J. Kevin Feng, Tovi Grossman, Tom Hope, Bhavana Dalvi Mishra, Matt Latzke, Jonathan Bragg, Joseph Chee Chang, and Pao Siangliulue. 2024 · 2024

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