Abhijnan Nath

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Machine Learning and AI Alignment Researcher

Publications

  1. Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both
    Abhijnan Nath, Changsoo Jung, Ethan Seefried, Nikhil Krishnaswamy
    (Under Review)
    Preprint

  2. DPL: Diverse Preference Learning Without A Reference Model
    Abhijnan Nath, Andrey Volozin, Saumajit Saha, Albert Aristotle Nanda, Galina Grunin, Rahul Bhotika, Nikhil Krishnaswamy
    (Under Review)
    Preprint

  3. “Any Other Thoughts, Hedgehog?” Linking Deliberation Chains in Collaborative Dialogues
    Abhijnan Nath, Videep Venkatesha, Mariah Bradford, Avyakta Chelle, Austin Collin Youngren, Carlos Mabrey, Nathaniel Blanchard, Nikhil Krishnaswamy
    (Published at Findings of EMNLP 2024)
    Paper

  4. Okay, Let’s Do This! Modeling Event Coreference with Generated Rationales and Knowledge Distillation
    Abhijnan Nath, Shadi Manafi, Avyakta Chelle, Nikhil Krishnaswamy
    (Oral, Published at NAACL Main 2024)
    Paper

  5. Multimodal Cross-Document Event Coreference Resolution Using Linear Semantic Transfer and Mixed-Modality Ensembles
    Abhijnan Nath, Huma Jamil, Shafiuddin Rehan Ahmed, George Baker, Rahul Ghosh, James H. Martin, Nathaniel Blanchard, Nikhil Krishnaswamy
    (Published at LREC-COLING 2024)
    Paper

  6. Propositional Extraction from Natural Speech in Small Group Collaborative Tasks
    Videep Venkatesha, Abhijnan Nath, Ibrahim Khebour, Avyakta Chelle, Mariah Bradford, Jingxuan Tu, James Pustejovsky, Nathaniel Blanchard, Nikhil Krishnaswamy
    (Best Paper Award at EDM 2024)

  7. AxomiyaBERTa: A Phonologically-aware Transformer Model for Assamese
    Abhijnan Nath, Sheikh Mannan, Nikhil Krishnaswamy
    (Published at Findings of ACL 2023)
    Paper

  8. 2*n is better than n²: Decomposing Event Coreference Resolution into Two Tractable Problems
    Shafiuddin Rehan Ahmed, Abhijnan Nath, James H. Martin, Nikhil Krishnaswamy
    (Published at Findings of ACL 2023)
    Paper

  9. How Good is the Model in Model-in-the-loop Event Coreference Resolution Annotation?
    Shafiuddin Rehan Ahmed, Abhijnan Nath, Michael Regan, Adam Pollins, Nikhil Krishnaswamy, James H. Martin
    (Published at the Linguistic Annotation Workshop, ACL 2023)
    Paper

  10. A Generalized Method for Automated Multilingual Loanword Detection
    Abhijnan Nath, Sina Mahdipour Saravani, Ibrahim Khebour, Sheikh Mannan, Zihui Li, Nikhil Krishnaswamy
    (Published at COLING 2022)
    Paper

  11. Phonetic, Semantic, and Articulatory Features in Assamese-Bengali Cognate Detection
    Abhijnan Nath, Rahul Ghosh, Nikhil Krishnaswamy
    (Published at VarDial 2022)
    Paper

  12. Linear Mappings: Semantic Transfer from Transformer Models for Cognate Detection and Coreference Resolution
    Abhijnan Nath
    MS Thesis. Colorado State University, 2022
    Paper