Nikhil Garg

Venues

Frequent coauthors

Papers

1. How Many Features Can a Language Model Store Under the Linear Representation Hypothesis?
   COLT 2026 · Nikhil Garg
2. Urban Incident Prediction with Graph Neural Networks: Integrating Government Ratings and Crowdsourced Reports
   AAAI 2026 ·

   Sidhika Balachandar

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3. 'Shopping Around': An Experiment in Preferences and Incentives for Placing Long-term Patients
   CSCW 2025 ·

   Vince Bartle

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4. A No Free Lunch Theorem for Human-AI Collaboration
   AAAI 2025 ·

   Kenny Peng

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5. Balancing Producer Fairness and Efficiency via Prior-Weighted Rating System Design
   ICWSM 2025 ·

   Thomas Ma

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6. Correlated Errors in Large Language Models
   ICML 2025 ·

   Elliot Myunghoon Kim

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7. Faster Information for Effective Long-Term Discharge: A Field Study in Adult Foster Care
   CSCW 2025 ·

   Vince Bartle

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8. Sparse Autoencoders for Hypothesis Generation
   ICML 2025 ·

   Rajiv Movva

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9. A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing
   AAAI 2024 ·

   Gabriel Agostini

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10. Domain constraints improve risk prediction when outcome data is missing
    ICLR 2024 ·

    Sidhika Balachandar

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11. Identifying and Addressing Disparities in Public Libraries with Bayesian Latent Variable Modeling
    AAAI 2024 ·

    Zhi Liu

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12. Monoculture in Matching Markets
    NeurIPS 2024 ·

    Kenny Peng

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13. Reconciling the Accuracy-Diversity Trade-off in Recommendations
    WWW 2024 ·

    Kenny Peng

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14. Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers
    NAACL 2024 ·

    Rajiv Movva

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