Sheshera Mysore

According to our database, Sheshera Mysore authored at least 19 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Memory Augmented Cross-encoders for Controllable Personalized Search.

Sheshera Mysore, Garima Dhanania, Kishor Patil, Surya Kallumadi, Andrew McCallum, Hamed Zamani

CoRR, 2024

Interactive Topic Models with Optimal Transport.

Garima Dhanania, Sheshera Mysore, Chau Minh Pham, Mohit Iyyer, Hamed Zamani, Andrew McCallum

CoRR, 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

LaMP: When Large Language Models Meet Personalization.

Alireza Salemi, Sheshera Mysore, Michael Bendersky, Hamed Zamani

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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

Editable User Profiles for Controllable Text Recommendation.

Sheshera Mysore, Mahmood Jasim, Andrew McCallum, Hamed Zamani

CoRR, 2023

Editable User Profiles for Controllable Text Recommendations.

Sheshera Mysore, Mahmood Jasim, Andrew McCallum, Hamed Zamani

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Large Language Model Augmented Narrative Driven Recommendations.

Sheshera Mysore, Andrew McCallum, Hamed Zamani

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

How Data Scientists Review the Scholarly Literature.

Sheshera Mysore, Mahmood Jasim, Haoru Song, Sarah Akbar, Andre Kenneth Chase Randall, Narges Mahyar

Proceedings of the 2023 Conference on Human Information Interaction and Retrieval, 2023

2022

Augmenting Scientific Creativity with Retrieval across Knowledge Domains.

Hyeonsu B. Kang, Sheshera Mysore, Kevin Huang, Haw-Shiuan Chang, Thorben Prein, Andrew McCallum, Aniket Kittur, Elsa Olivetti

CoRR, 2022

Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity.

Sheshera Mysore, Arman Cohan, Tom Hope

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021

CSFCube - A Test Collection of Computer Science Research Articles for Faceted Query by Example.

Sheshera Mysore, Tim O'Gorman, Andrew McCallum, Hamed Zamani

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

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

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

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

J. Chem. Inf. Model., 2020

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

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

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

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

Proceedings of the 13th Linguistic Annotation Workshop, 2019

2017

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

CoRR, 2017

2016

Connected Operators for Non-text Object Segmentation in Grayscale Document Images.

Sheshera Mysore, Manish Kumar Gupta, Swapnil Belhe

Proceedings of International Conference on Computer Vision and Image Processing, 2016