Sheshera Mysore

31 papers A* 3A 1B 3Journal 17Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	B	`conf`	Can Instructed Retrieval Models Really Support Exploration? CHIIR Piyush Maheshwari, Sheshera Mysore, Hamed Zamani
2026	J	`jnl`	Can Instructed Retrieval Models Really Support Exploration? CoRR Piyush Maheshwari, Sheshera Mysore, Hamed Zamani
2025	A*	`conf`	Bridging Personalization and Control in Scientific Personalized Search. SIGIR Sheshera Mysore, Garima Dhanania, Kishor Patil, Surya Kallumadi, Andrew McCallum, Hamed Zamani
2025	A*	`conf`	Prototypical Human-AI Collaboration Behaviors from LLM-Assisted Writing in the Wild. EMNLP Sheshera Mysore, Debarati Das, Hancheng Cao, Bahareh Sarrafzadeh
2025	J	`jnl`	Prototypical Human-AI Collaboration Behaviors from LLM-Assisted Writing in the Wild. CoRR Sheshera Mysore, Debarati Das, Hancheng Cao, Bahareh Sarrafzadeh
2024	J	`jnl`	Corporate Communication Companion (CCC): An LLM-empowered Writing Assistant for Workplace Social Media. CoRR Zhuoran Lu, Sheshera Mysore, Tara Safavi, Jennifer Neville, Longqi Yang, Mengting Wan
2024	J	`jnl`	Interactive Topic Models with Optimal Transport. CoRR Garima Dhanania, Sheshera Mysore, Chau Minh Pham, Mohit Iyyer, Hamed Zamani, Andrew McCallum
2024	—	`conf`	LaMP: When Large Language Models Meet Personalization. ACL (1) Alireza Salemi, Sheshera Mysore, Michael Bendersky, Hamed Zamani
2024	J	`jnl`	Memory Augmented Cross-encoders for Controllable Personalized Search. CoRR Sheshera Mysore, Garima Dhanania, Kishor Patil, Surya Kallumadi, Andrew McCallum, Hamed Zamani
2023	J	`jnl`	Editable User Profiles for Controllable Text Recommendation. CoRR Sheshera Mysore, Mahmood Jasim, Andrew McCallum, Hamed Zamani
2023	A*	`conf`	Editable User Profiles for Controllable Text Recommendations. SIGIR Sheshera Mysore, Mahmood Jasim, Andrew McCallum, Hamed Zamani
2023	B	`conf`	How Data Scientists Review the Scholarly Literature. CHIIR Sheshera Mysore, Mahmood Jasim, Haoru Song, Sarah Akbar, Andre Kenneth Chase Randall, Narges Mahyar
2023	J	`jnl`	How Data Scientists Review the Scholarly Literature. CoRR Sheshera Mysore, Mahmood Jasim, Haoru Song, Sarah Akbar, Andre Kenneth Chase Randall, Narges Mahyar
2023	J	`jnl`	LaMP: When Large Language Models Meet Personalization. CoRR Alireza Salemi, Sheshera Mysore, Michael Bendersky, Hamed Zamani
2023	A	`conf`	Large Language Model Augmented Narrative Driven Recommendations. RecSys Sheshera Mysore, Andrew McCallum, Hamed Zamani
2023	J	`jnl`	Large Language Model Augmented Narrative Driven Recommendations. CoRR Sheshera Mysore, Andrew McCallum, Hamed Zamani
2023	J	`jnl`	PEARL: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers. CoRR Sheshera Mysore, Zhuoran Lu, Mengting Wan, Longqi Yang, Steve Menezes, Tina Baghaee, Emmanuel Barajas Gonzalez, Jennifer Neville, Tara Safavi
2022	J	`jnl`	Augmenting Scientific Creativity with Retrieval across Knowledge Domains. CoRR Hyeonsu B. Kang, Sheshera Mysore, Kevin Huang, Haw-Shiuan Chang, Thorben Prein, Andrew McCallum, Aniket Kittur, Elsa A. Olivetti
2022	—	`conf`	Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity. NAACL-HLT Sheshera Mysore, Arman Cohan, Tom Hope
2021	—	`conf`	CSFCube - A Test Collection of Computer Science Research Articles for Faceted Query by Example. NeurIPS Datasets and Benchmarks Sheshera Mysore, Tim O'Gorman, Andrew McCallum, Hamed Zamani
2021	J	`jnl`	CSFCube - A Test Collection of Computer Science Research Articles for Faceted Query by Example. CoRR Sheshera Mysore, Tim O'Gorman, Andrew McCallum, Hamed Zamani
2021	—	`conf`	MS-Mentions: Consistently Annotating Entity Mentions in Materials Science Procedural Text. EMNLP (1) Tim O'Gorman, Zach Jensen, Sheshera Mysore, Kevin Huang, Rubayyat Mahbub, Elsa A. Olivetti, Andrew McCallum
2021	J	`jnl`	Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity. CoRR Sheshera Mysore, Arman Cohan, Tom Hope
2020	—	`conf`	An Instance Level Approach for Shallow Semantic Parsing in Scientific Procedural Text. EMNLP (Findings) Daivik Swarup, Ahsaas Bajaj, Sheshera Mysore, Tim O'Gorman, Rajarshi Das, Andrew McCallum
2020	J	`jnl`	Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks. J. Chem. Inf. Model. Edward Kim, Zach Jensen, Alexander van Grootel, Kevin Huang, Matthew Staib, Sheshera Mysore, Haw-Shiuan Chang, Emma Strubell, Andrew McCallum, Stefanie Jegelka, Elsa A. Olivetti
2019	J	`jnl`	Inorganic Materials Synthesis Planning with Literature-Trained Neural Networks. CoRR Edward Kim, Zach Jensen, Alexander van Grootel, Kevin Huang, Matthew Staib, Sheshera Mysore, Haw-Shiuan Chang, Emma Strubell, Andrew McCallum, Stefanie Jegelka, Elsa A. Olivetti
2019	B	`conf`	Roll Call Vote Prediction with Knowledge Augmented Models. CoNLL Pallavi Patil, Kriti Myer, Ronak Zala, Arpit Singh, Sheshera Mysore, Andrew McCallum, Adrian Benton, Amanda Stent
2019	—	`conf`	The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures. LAW@ACL Sheshera Mysore, Zach Jensen, Edward Kim, Kevin Huang, Haw-Shiuan Chang, Emma Strubell, Jeffrey Flanigan, Andrew McCallum, Elsa A. Olivetti
2019	J	`jnl`	The Materials Science Procedural Text Corpus: Annotating Materials Synthesis Procedures with Shallow Semantic Structures. CoRR Sheshera Mysore, Zach Jensen, Edward Kim, Kevin Huang, Haw-Shiuan Chang, Emma Strubell, Jeffrey Flanigan, Andrew McCallum, Elsa A. Olivetti
2017	J	`jnl`	Automatically Extracting Action Graphs from Materials Science Synthesis Procedures. CoRR Sheshera Mysore, Edward Kim, Emma Strubell, Ao Liu, Haw-Shiuan Chang, Srikrishna Kompella, Kevin Huang, Andrew McCallum, Elsa A. Olivetti
2016	—	`conf`	Connected Operators for Non-text Object Segmentation in Grayscale Document Images. CVIP (1) Sheshera Mysore, Manish Kumar Gupta, Swapnil Belhe