Connected Operators for Non-text Object Segmentation in Grayscale Document Images. - Sheshera Mysore; Manish Kumar Gupta; Swapnil Belhe (CVIP (1), 2016)

Automatically Extracting Action Graphs from Materials Science Synthesis Procedures. - Sheshera Mysore; Edward Kim 004; Emma Strubell; Ao Liu 003; Haw-Shiuan Chang; Srikrishna Kompella; Kevin Huang 004; Andrew McCallum; Elsa A. Olivetti (CoRR, 2017)

The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures. - Sheshera Mysore; Zach Jensen; Edward Kim 004; Kevin Huang 004; Haw-Shiuan Chang; Emma Strubell; Jeffrey Flanigan; Andrew McCallum; Elsa A. Olivetti (LAW@ACL, 2019)

Roll Call Vote Prediction with Knowledge Augmented Models. - Pallavi Patil; Kriti Myer; Ronak Zala; Arpit Singh; Sheshera Mysore; Andrew McCallum; Adrian Benton; Amanda Stent (CoNLL, 2019)

An Instance Level Approach for Shallow Semantic Parsing in Scientific Procedural Text. - Daivik Swarup; Ahsaas Bajaj; Sheshera Mysore; Tim O'Gorman; Rajarshi Das; Andrew McCallum (EMNLP (Findings), 2020)

Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks. - Edward Kim 004; Zach Jensen; Alexander van Grootel; Kevin Huang 004; Matthew Staib; Sheshera Mysore; Haw-Shiuan Chang; Emma Strubell; Andrew McCallum; Stefanie Jegelka; Elsa A. Olivetti (J. Chem. Inf. Model., 2020)

MS-Mentions: Consistently Annotating Entity Mentions in Materials Science Procedural Text. - Tim O'Gorman; Zach Jensen; Sheshera Mysore; Kevin Huang 004; Rubayyat Mahbub; Elsa A. Olivetti; Andrew McCallum (EMNLP (1), 2021)

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, 2021)

Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity. - Sheshera Mysore; Arman Cohan; Tom Hope (NAACL-HLT, 2022)

Augmenting Scientific Creativity with Retrieval across Knowledge Domains. - Hyeonsu B. Kang; Sheshera Mysore; Kevin Huang 004; Haw-Shiuan Chang; Thorben Prein; Andrew McCallum; Aniket Kittur; Elsa A. Olivetti (CoRR, 2022)

How Data Scientists Review the Scholarly Literature. - Sheshera Mysore; Mahmood Jasim; Haoru Song; Sarah Akbar; Andre Kenneth Chase Randall; Narges Mahyar (CHIIR, 2023)

Large Language Model Augmented Narrative Driven Recommendations. - Sheshera Mysore; Andrew McCallum; Hamed Zamani (RecSys, 2023)

Editable User Profiles for Controllable Text Recommendations. - Sheshera Mysore; Mahmood Jasim; Andrew McCallum; Hamed Zamani (SIGIR, 2023)

Editable User Profiles for Controllable Text Recommendation. - Sheshera Mysore; Mahmood Jasim; Andrew McCallum; Hamed Zamani (CoRR, 2023)

PEARL: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers. - Sheshera Mysore; Zhuoran Lu; Mengting Wan; Longqi Yang; Steve Menezes; Tina Baghaee; Emmanuel Barajas Gonzalez; Jennifer Neville; Tara Safavi (CoRR, 2023)

LaMP: When Large Language Models Meet Personalization. - Alireza Salemi; Sheshera Mysore; Michael Bendersky; Hamed Zamani (ACL (1), 2024)

Corporate Communication Companion (CCC): An LLM-empowered Writing Assistant for Workplace Social Media. - Zhuoran Lu; Sheshera Mysore; Tara Safavi; Jennifer Neville; Longqi Yang; Mengting Wan (CoRR, 2024)

Interactive Topic Models with Optimal Transport. - Garima Dhanania; Sheshera Mysore; Chau Minh Pham; Mohit Iyyer; Hamed Zamani; Andrew McCallum (CoRR, 2024)

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

Bridging Personalization and Control in Scientific Personalized Search. - Sheshera Mysore; Garima Dhanania; Kishor Patil; Surya Kallumadi; Andrew McCallum; Hamed Zamani (SIGIR, 2025)

Prototypical Human-AI Collaboration Behaviors from LLM-Assisted Writing in the Wild. - Sheshera Mysore; Debarati Das 004; Hancheng Cao; Bahareh Sarrafzadeh (CoRR, 2025)