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2020 – today
- 2024
[c11]Alireza Salemi, Sheshera Mysore, Michael Bendersky, Hamed Zamani:
LaMP: When Large Language Models Meet Personalization. ACL (1) 2024: 7370-7392- [i13]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 abs/2405.04656 (2024) - [i12]Garima Dhanania, Sheshera Mysore, Chau Minh Pham, Mohit Iyyer, Hamed Zamani, Andrew McCallum:
Interactive Topic Models with Optimal Transport. CoRR abs/2406.19928 (2024) - 2023
- [c10]Sheshera Mysore
, Mahmood Jasim, Haoru Song, Sarah Akbar, Andre Kenneth Chase Randall, Narges Mahyar:
How Data Scientists Review the Scholarly Literature. CHIIR 2023: 137-152 - [c9]Sheshera Mysore, Andrew McCallum, Hamed Zamani:
Large Language Model Augmented Narrative Driven Recommendations. RecSys 2023: 777-783 - [c8]Sheshera Mysore, Mahmood Jasim, Andrew McCallum, Hamed Zamani:
Editable User Profiles for Controllable Text Recommendations. SIGIR 2023: 993-1003 - [i11]Sheshera Mysore, Mahmood Jasim, Haoru Song, Sarah Akbar, Andre Kenneth Chase Randall, Narges Mahyar:
How Data Scientists Review the Scholarly Literature. CoRR abs/2301.03774 (2023) - [i10]Sheshera Mysore, Mahmood Jasim, Andrew McCallum, Hamed Zamani:
Editable User Profiles for Controllable Text Recommendation. CoRR abs/2304.04250 (2023) - [i9]Alireza Salemi, Sheshera Mysore, Michael Bendersky, Hamed Zamani:
LaMP: When Large Language Models Meet Personalization. CoRR abs/2304.11406 (2023) - [i8]Sheshera Mysore, Andrew McCallum, Hamed Zamani:
Large Language Model Augmented Narrative Driven Recommendations. CoRR abs/2306.02250 (2023) - [i7]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 abs/2311.09180 (2023) - 2022
- [c7]Sheshera Mysore, Arman Cohan, Tom Hope:
Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity. NAACL-HLT 2022: 4453-4470 - [i6]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 abs/2206.01328 (2022) - 2021
- [c6]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: 1337-1352 - [c5]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 - [i5]Sheshera Mysore, Tim O'Gorman, Andrew McCallum, Hamed Zamani:
CSFCube - A Test Collection of Computer Science Research Articles for Faceted Query by Example. CoRR abs/2103.12906 (2021) - [i4]Sheshera Mysore, Arman Cohan, Tom Hope:
Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity. CoRR abs/2111.08366 (2021) - 2020
- [j1]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): 1194-1201 (2020) - [c4]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: 3010-3017
2010 – 2019
- 2019
- [c3]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: 56-64 - [c2]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: 574-581 - [i3]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 abs/1901.00032 (2019) - [i2]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 abs/1905.06939 (2019) - 2017
- [i1]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 abs/1711.06872 (2017) - 2016
- [c1]Sheshera Mysore, Manish Kumar Gupta, Swapnil Belhe:
Connected Operators for Non-text Object Segmentation in Grayscale Document Images. CVIP (1) 2016: 399-407
Coauthor Index
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