Selected Publications

See a full list of publications on Google Scholar or Semantic Scholar

Memory Augmented Cross-encoders for Controllable Personalized Search Sheshera Mysore, Garima Dhanania, Kishor Patil, Surya Kallumadi, Andrew McCallum, Hamed Zamani, Pre-print, 2024 (arXiv)

Interactive Topic Models with Optimal Transport Garima Dhanania^*, Sheshera Mysore^*, Chau Minh Pham, Mohit Iyyer, Hamed Zamani, Andrew McCallum, Pre-print, 2024 (arXiv)

PEARL: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers Sheshera Mysore, Zhuoran Lu, Mengting Wan, Longqi Yang, Bahareh Sarrafzadeh, Steve Menezes, Tina Baghaee, Emmanuel Barajas Gonzalez, Jennifer Neville, Tara Safavi, CustomNLP at EMNLP, 2024 (arXiv)

LaMP: When Large Language Models Meet Personalization Alireza Salemi, Sheshera Mysore, Michael Bendersky, Hamed Zamani, ACL, 2024 (arXiv, Website)

Large Language Model Augmented Narrative Driven Recommendations Sheshera Mysore, Andrew McCallum, Hamed Zamani, RecSys, 2023 (arXiv, Github)

Editable User Profiles for Controllable Text Recommendation Sheshera Mysore, Mahmood Jasim, Andrew McCallum, Hamed Zamani, SIGIR, 2023 (arXiv, Tweet thread, Github)

How Data Scientists Review the Scholarly Literature Sheshera Mysore, Mahmood Jasim, Haoru Song, Sarah Akbar, Andre Kenneth Chase Randall, Narges Mahyar, CHIIR, 2023 (arXiv, Github, Tweet thread)

Augmenting Scientific Creativity with Retrieval across Knowledge Domains Sheshera Mysore^*, Hyeonsu B Kang^*, Kevin J Huang^*, Haw-Shiuan Chang, Thorben Prein, Andrew McCallum, Niki Kittur, Elsa Olivetti, NLP+HCI Workshop at NAACL, 2022 (arXiv)

Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity Sheshera Mysore, Arman Cohan, Tom Hope, NAACL, 2022 (Online, Github, Tweet thread)

CSFCube - A Test Collection of Computer Science Research Articles for Faceted Query by Example Sheshera Mysore, Tim O'Gorman, Andrew McCallum, Hamed Zamani, NeurIPS Datasets and Benchmarks Track, 2021 (Online, Github)

MS-Mentions: Consistently Annotating Entity Mentions in Materials Science Procedural Text Tim O’Gorman, Zach Jensen, Sheshera Mysore, Kevin Huang, Rubayyat Mahbub, Elsa Olivetti, Andrew McCallum, EMNLP, 2021 (Online)

An Instance Level Approach for Shallow Semantic Parsing in Scientific Procedural Texts Daivik Swarup, Ahsaas Bajaj, Sheshera Mysore, Timothy O' Gorman, Rajarshi Das and Andrew McCallum Findings of EMNLP, 2020 (Online)

The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures Sheshera Mysore, Zach Jensen, Edward Kim, Kevin Huang, Haw-Shiuan Chang, Emma Strubell, Jeffrey Flanigan, Andrew McCallum, Elsa Olivetti Linguistic Annotation Workshop at ACL, 2019 (Online, Github)

Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks Edward Kim, Zach Jensen, Alexander van Grootel, Kevin Huang, Matthew Staib, Sheshera Mysore, Haw-Shiuan Chang, Emma Strubell, Andrew McCallum, Stefanie Jegelka, Elsa Olivetti, 2019 (Online)

Automatically Extracting Action Graphs from Materials Science Synthesis Procedures Sheshera Mysore, Edward Kim, Emma Strubell, Ao Liu, Haw-Shiuan Chang, Srikrishna Kompella, Kevin Huang, Andrew McCallum, Elsa Olivetti Workshop on Machine Learning for Molecules and Materials at NIPS, 2017 (arXiv) (Spotlight talk)