Anmol Kabra

selected papers

* equal contributions

1. 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

   Preprint (2025).

   paper bibtex code

   @unpublished{2024hogan_aiscivisioo,
     title = {{PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation}},
     author = {Gong*, Albert and Stankevičiūtė*, Kamilė and Wan*, Chao and Kabra, Anmol and Thesmar, Raphael and Lee, Johann and Klenke, Julius and Gomes, Carla P. and Weinberger, Kilian Q.},
     year = {2025},
     note = {Preprint},
   }

2. The Limitations of Model Retraining in the Face of Performativity

   Anmol Kabra*,  and Kumar Kshitij Patel*

   ICML Workshop on Humans, Algorithmic Decision-Making and Society (2024).

   paper bibtex

   @inproceedings{2024kabra_limitations_retraining,
     title = {The Limitations of Model Retraining in the Face of Performativity},
     author = {Kabra*, Anmol and Patel*, Kumar Kshitij},
     booktitle = {ICML Workshop on Humans, Algorithmic Decision-Making and Society},
     year = {2024},
   }

3. Score Design for Multi-Criteria Incentivization

   Anmol Kabra, Mina Karzand, Tosca Lechner, Nathan Srebro,  and Serena Wang

   Foundations of Responsible Computing (FORC) (2024).

   paper bibtex poster

   @inproceedings{2024kabra_FORC_score_design,
     title = {Score Design for Multi-Criteria Incentivization},
     author = {Kabra, Anmol and Karzand, Mina and Lechner, Tosca and Srebro, Nathan and Wang, Serena},
     booktitle = {5th Symposium on Foundations of Responsible Computing (FORC)},
     year = {2024},
   }

4. 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).

   paper bibtex code

   @unpublished{2024hogan_aiscivision,
     title = {{AISciVision: A Framework for Specializing Large Multimodal Models in Scientific Image Classification}},
     author = {Hogan, Brendan and Kabra, Anmol and Pacheco, Felipe Siqueira and Greenstreet, Laura and Fan, Joshua and Ferber, Aaron and Ummus, Marta and Brito, Alecsander and Graham, Olivia and Aoki, Lillian and Harvell, Drew and Flecker, Alex and Gomes, Carla},
     year = {2024},
     note = {Preprint},
   }

5. Domain Private Transformers for Multi-Domain Dialog Systems

   Anmol Kabra,  and Ethan R. Elenberg

   Findings-EMNLP (2023).

   paper bibtex poster

   @inproceedings{2023kabra_domain_privacy,
     title = {Domain Private Transformers for Multi-Domain Dialog Systems},
     author = {Kabra, Anmol and Elenberg, Ethan R.},
     booktitle = {Findings of the Association for Computational Linguistics: EMNLP},
     year = {2023},
   }

6. Exponential Family Model-Based Reinforcement Learning via Score Matching

   Gene Li, Junbo Li,  Anmol Kabra, Nathan Srebro, Zhaoran Wang,  and Zhuoran Yang

   NeurIPS (2022). (Oral presentation).

   paper bibtex code poster

   @inproceedings{2022li_score_matching,
     title = {Exponential Family Model-Based Reinforcement Learning via Score Matching},
     author = {Li, Gene and Li, Junbo and Kabra, Anmol and Srebro, Nathan and Wang, Zhaoran and Yang, Zhuoran},
     booktitle = {Advances in Neural Information Processing Systems},
     volume = {35},
     pages = {28474--28487},
     year = {2022},
   }

7. Characterizing the Loss Landscape in Non-Negative Matrix Factorization

   Johan Bjorck,  Anmol Kabra, Kilian Q. Weinberger,  and Carla P. Gomes

   AAAI (2021).

   paper bibtex

   @inproceedings{2021bjorck_nmf,
     title = {Characterizing the Loss Landscape in Non-Negative Matrix Factorization},
     author = {Bjorck, Johan and Kabra, Anmol and Weinberger, Kilian Q. and Gomes, Carla P.},
     booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
     volume = {35},
     number = {8},
     pages = {6768--6776},
     year = {2021},
     doi = {10.1609/aaai.v35i8.16836},
     url = {https://doi.org/10.1609/aaai.v35i8.16836},
   }