Sheshera S Mysore

Publications

  1. 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", arXiv, 2023 (arXiv)
  2. Chris Samarinas, Pracha Promthaw, Rohan Lekhwani, Sheshera Mysore, Sung Ming Huang, Atharva Nijasure, Hansi Zeng, Hamed Zamani, "Multi-Modal Augmentation for Large Language Models with Applications to Task-Oriented Dialogues.", Alexa Prize TaskBot Challenge 2, 2023 (Online)
  3. Sheshera Mysore, Andrew McCallum, Hamed Zamani, "Large Language Model Augmented Narrative Driven Recommendations", RecSys, 2023 (arXiv)
  4. Alireza Salemi, Sheshera Mysore, Michael Bendersky, Hamed Zamani, "LaMP: When Large Language Models Meet Personalization", arXiv, 2023 (arXiv)
  5. Sheshera Mysore, Mahmood Jasim, Andrew McCallum, Hamed Zamani, "Editable User Profiles for Controllable Text Recommendation", SIGIR, 2023 (arXiv, Tweet thread)
  6. Sheshera Mysore, Mahmood Jasim, Haoru Song, Sarah Akbar, Andre Kenneth Chase Randall, Narges Mahyar, "How Data Scientists Review the Scholarly Literature", CHIIR, 2023 (arXiv, Github, Tweet thread)
  7. Sheshera Mysore*, Hyeonsu B Kang*, Kevin J Huang*, Haw-Shiuan Chang, Thorben Prein, Andrew McCallum, Niki Kittur, Elsa Olivetti, "Augmenting Scientific Creativity with Retrieval across Knowledge Domains", NLP+HCI Workshop at NAACL, 2022 (arXiv)
  8. Sheshera Mysore, Arman Cohan, Tom Hope, "Multi-Vector Models with Textual Guidance for Fine-Grained Scientific Document Similarity", NAACL, 2022 (Online, Github, Tweet thread)
  9. 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 Track, 2021 (Online, Github)
  10. 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, 2021 (Online)
  11. Daivik Swarup, Ahsaas Bajaj, Sheshera Mysore, Timothy O' Gorman, Rajarshi Das and Andrew McCallum, "An Instance Level Approach for Shallow Semantic Parsing in Scientific Procedural Texts" Findings of EMNLP, 2020 (Online)
  12. Pallavi Patil, Kriti Myer, Ronak Zala, Arpit Singh, Sheshera Mysore, Andrew McCallum, Adrian Benton and Amanda Stent, "Roll Call Vote Prediction with Knowledge Augmented Models" CoNLL, 2019 (Online)
  13. 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" Linguistic Annotation Workshop at ACL, 2019 (Online, Github)
  14. 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.", 2019 (Online)
  15. 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" Workshop on Machine Learning for Molecules and Materials at NIPS, 2017 (arXiv)
  16. Sheshera Mysore, Manish Gupta and Swapnil Belhe, "Connected Operators for Non-text Object Segmentation in Grayscale Document Images" International Conference on Computer Vision & Image Processing (CVIP), 2016 (Online)
  17. Sheshera Mysore, Manish Gupta and Swapnil Belhe, "Complex and degraded color document image binarization" International Conference on Signal Processing and Integrated Networks (SPIN), 2016 (Online)