papers

research papers by categories in reversed chronological order. generated by jekyll-scholar.

* equal contributions

  1. Land-use transitions and carbon emissions of aquaculture expansion in the Brazilian Amazon
    Felipe S. Pacheco, Sebastian A. Heilpern, Rafael M. Almeida, Suresh A. Sethi, Marcela Miranda, Nicholas Ray, Laura Greenstreet, Joshua Fan, Brendan H. Rappazzo, Anmol Kabra, Marta E. Ummus, Ícaro B. Alves, Nathan O. Barros, Jucilene Cavali, Gabriel M. Cesar, Carolina R. Doria, Kathryn J. Fiorella, Bruce R. Forsberg, Marcelo Gomes Silva, Daniel A. Maciel, David McGrath, Peter B. McIntyre, Patricia Moraes-Valenti, Ilce Oliveira, Jean P. H. B. Ometto, Fabio Roland, Adry Trindade, Wagner C. Valenti, Aline M. Valerio, Xiangtao Xu, Carla P. Gomes, and Alexander S. Flecker
    In Science Advances (2026).
  2. The Reliability Gap in Agentic Evidence Verification for Materials Science
    Albert Gong, James J. Kim, Anmol Kabra, Aaditya Panigrahi, Jiashuo Wang, Arjun B. Mulchandani, Michael Freeman, Fatmagul Katmer, Joshua Peters Wakefield, Linxi Zhao, Chao Wan, Akanksha Sarkar, Yoav Artzi, Leslie M Schoop, John Thickstun, Kilian Q Weinberger, Eun-Ah Kim, Peter I. Frazier, and Jennifer J. Sun
    In ICLR Workshop on Foundation Models for Science (2026).
  3. Large Multimodal Models Enable Scalable Monitoring of Aquaculture Ponds
    Anmol Kabra*, Felipe Siqueira Pacheco*, Brendan Hogan Rappazzo, Laura Greenstreet, Joshua Fan, Aaron M Ferber, Marta Eichemberger Ummus, Alecsander Gomes Brito, Alexander Flecker, and Carla P Gomes
    In ICLR Workshop on Machine Learning for Remote Sensing (2026).
  4. Learning from Synthetic Data Improves Multi-hop Reasoning
    In ICLR (2026). Spotlight talk at NSF-NAIRR annual meeting.
  5. PhantomEnvironments: Training LLM Agents in Fictional Worlds
    Under Review (2026). Oral presentation at COLM Workshop on Learning from Situated and Embodied Interaction.
  6. PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation
    Albert Gong*, Kamilė Stankevičiūtė*, Chao Wan*, Anmol Kabra*, Raphael Thesmar, Johann Lee, Julius Klenke, Carla P. Gomes, and Kilian Q. Weinberger
    In ICML (2025). Oral presentation at ICML Workshop on Long Context Foundation Models.
  7. Electron affinity difference distributions guide the discovery of the superconductor PtPb_3Bi
    Omri Lesser, Yanjun Liu, Natalie Maus, Aaditya Panigrahi, Krishnanand Mallayya, Albert Gong, Anmol Kabra, Scott B. Lee, Sudipta Chatterjee, Amira Merino, Kilian Q. Weinberger, Leslie M. Schoop, Jacob R. Gardner, and Eun-Ah Kim
    Under Review (2025).
  8. Score Design for Multi-Criteria Incentivization
    In Foundations of Responsible Computing (FORC) (2024).
  9. The Limitations of Model Retraining in the Face of Performativity
    Anmol Kabra*, and Kumar Kshitij Patel*
    In ICML Workshop on Humans, Algorithmic Decision-Making and Society (2024).
  10. AISciVision: A Framework for Specializing Large Multimodal Models in Scientific Image Classification
    Brendan Hogan, Anmol Kabra, Felipe Siqueira Pacheco, Laura Greenstreet, Joshua Fan, Aaron Ferber, Marta Ummus, Alecsander Brito, Olivia Graham, Lillian Aoki, Drew Harvell, Alex Flecker, and Carla Gomes
    Preprint (2024).
  11. Domain Private Transformers for Multi-Domain Dialog Systems
    Anmol Kabra, and Ethan R. Elenberg
    In Findings of EMNLP (2023).
  12. Exponential Family Model-Based Reinforcement Learning via Score Matching
    In NeurIPS (2022). Oral presentation.
  13. Characterizing the Loss Landscape in Non-Negative Matrix Factorization
    In AAAI (2021).
  14. GPU-Accelerated Principal-Agent Game for Scalable Citizen Science
    Anmol Kabra, Yexiang Xue, and Carla P. Gomes
    In COMPASS (2019).
  15. A Modular Approach to Optimal Hybrid Bus Allocation for TCAT
    Anmol Kabra*, Kenneth Fang*, and Nicholas Kaye*
    Cornell Mathematical Contest in Modeling (CMCM) report, Cornell University (2017).
  16. Solving the Avicaching Game Faster and Better
    Anmol Kabra, Yexiang Xue, and Carla P. Gomes
    Summer research project report, Cornell University (2017).
  17. Potential of Conversion of Waste to Energy in India
    Aayush*, Vaibhav Agarwal*, Anmol Kabra*, Amit Parashar*, Anshumat Srivastava*, and Ajay Kalamdhad
    High school research project report, IIT Guwahati (2013).