Sheshera Mysore

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 25

Top Topics

Materials Science

Semantic Structures

Document Similarity

Top Venues

NeurIPS Datasets and Benchmarks

Publications

Zhuoran Lu, Sheshera Mysore, Tara Safavi, Jennifer Neville, Longqi Yang, Mengting Wan
Corporate Communication Companion (CCC): An LLM-empowered Writing Assistant for Workplace Social Media. CoRR (2024)
Alireza Salemi, Sheshera Mysore, Michael Bendersky, Hamed Zamani
LaMP: When Large Language Models Meet Personalization. ACL (1) (2024)
Garima Dhanania, Sheshera Mysore, Chau Minh Pham, Mohit Iyyer, Hamed Zamani, Andrew McCallum
Interactive Topic Models with Optimal Transport. CoRR (2024)
Sheshera Mysore, Andrew McCallum, Hamed Zamani
Large Language Model Augmented Narrative Driven Recommendations. CoRR (2023)
Sheshera Mysore, Mahmood Jasim, Andrew McCallum, Hamed Zamani
Editable User Profiles for Controllable Text Recommendation. CoRR (2023)
Sheshera Mysore, Zhuoran Lu, Mengting Wan, Longqi Yang, Steve Menezes, Tina Baghaee, Emmanuel Barajas Gonzalez, Jennifer Neville, Tara Safavi
PEARL: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers. CoRR (2023)
Sheshera Mysore, Mahmood Jasim, Haoru Song, Sarah Akbar, Andre Kenneth Chase Randall, Narges Mahyar
How Data Scientists Review the Scholarly Literature. CoRR (2023)
Sheshera Mysore, Andrew McCallum, Hamed Zamani
Large Language Model Augmented Narrative Driven Recommendations. RecSys (2023)
Sheshera Mysore, Mahmood Jasim, Haoru Song, Sarah Akbar, Andre Kenneth Chase Randall, Narges Mahyar
How Data Scientists Review the Scholarly Literature. CHIIR (2023)
Alireza Salemi, Sheshera Mysore, Michael Bendersky, Hamed Zamani
LaMP: When Large Language Models Meet Personalization. CoRR (2023)
Sheshera Mysore, Mahmood Jasim, Andrew McCallum, Hamed Zamani
Editable User Profiles for Controllable Text Recommendations. SIGIR (2023)
Hyeonsu B. Kang, Sheshera Mysore, Kevin Huang, Haw-Shiuan Chang, Thorben Prein, Andrew McCallum, Aniket Kittur, Elsa Olivetti
Augmenting Scientific Creativity with Retrieval across Knowledge Domains. CoRR (2022)
Sheshera Mysore, Arman Cohan, Tom Hope
Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity. NAACL-HLT (2022)
Sheshera Mysore, Tim O'Gorman, Andrew McCallum, Hamed Zamani
CSFCube - A Test Collection of Computer Science Research Articles for Faceted Query by Example. NeurIPS Datasets and Benchmarks (2021)
Sheshera Mysore, Arman Cohan, Tom Hope
Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity. CoRR (2021)
Sheshera Mysore, Tim O'Gorman, Andrew McCallum, Hamed Zamani
CSFCube - A Test Collection of Computer Science Research Articles for Faceted Query by Example. CoRR (2021)
Tim O'Gorman, Zach Jensen, Sheshera Mysore, Kevin Huang, Rubayyat Mahbub, Elsa Olivetti, Andrew McCallum
MS-Mentions: Consistently Annotating Entity Mentions in Materials Science Procedural Text. EMNLP (1) (2021)
Daivik Swarup, Ahsaas Bajaj, Sheshera Mysore, Tim O'Gorman, Rajarshi Das, Andrew McCallum
An Instance Level Approach for Shallow Semantic Parsing in Scientific Procedural Text. EMNLP (Findings) (2020)
Edward Kim, Zach Jensen, Alexander van Grootel, Kevin Huang, Matthew Staib, Sheshera Mysore, Haw-Shiuan Chang, Emma Strubell, Andrew McCallum, Stefanie Jegelka, Elsa Olivetti
Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks. J. Chem. Inf. Model. 60 (3) (2020)
Sheshera Mysore, Zach Jensen, Edward Kim, Kevin Huang, Haw-Shiuan Chang, Emma Strubell, Jeffrey Flanigan, Andrew McCallum, Elsa Olivetti
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures. CoRR (2019)
Pallavi Patil, Kriti Myer, Ronak Zala, Arpit Singh, Sheshera Mysore, Andrew McCallum, Adrian Benton, Amanda Stent
Roll Call Vote Prediction with Knowledge Augmented Models. CoNLL (2019)
Sheshera Mysore, Zach Jensen, Edward Kim, Kevin Huang, Haw-Shiuan Chang, Emma Strubell, Jeffrey Flanigan, Andrew McCallum, Elsa Olivetti
The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures. LAW@ACL (2019)
Edward Kim, Zach Jensen, Alexander van Grootel, Kevin Huang, Matthew Staib, Sheshera Mysore, Haw-Shiuan Chang, Emma Strubell, Andrew McCallum, Stefanie Jegelka, Elsa Olivetti
Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks. CoRR (2019)
Sheshera Mysore, Edward Kim, Emma Strubell, Ao Liu, Haw-Shiuan Chang, Srikrishna Kompella, Kevin Huang, Andrew McCallum, Elsa Olivetti
Automatically Extracting Action Graphs from Materials Science Synthesis Procedures. CoRR (2017)
Sheshera Mysore, Manish Kumar Gupta, Swapnil Belhe
Connected Operators for Non-text Object Segmentation in Grayscale Document Images. CVIP (1) (2016)