Using Computational Models to Understand the Role and Nature of Valuation Bias in Mixed Gambles. - Nishad Singhi; Sumeet Agarwal; Sumitava Mukherjee (CogSci, 2023)

Toward a normative theory of (self-)management by goal-setting. - Nishad Singhi; Florian Mohnert; Ben Prystawski; Falk Lieder (CogSci, 2023)

CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning. - Hritik Bansal; Fan Yin; Nishad Singhi; Aditya Grover; Yu Yang; Kai-Wei Chang (ICCV, 2023)

Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models. - Nishad Singhi; Jae Myung Kim; Karsten Roth; Zeynep Akata (ECCV (26), 2024)

Centaur: a foundation model of human cognition. - Marcel Binz; Elif Akata; Matthias Bethge; Franziska Brändle; Fred Callaway; Julian Coda-Forno; Peter Dayan; Can Demircan; Maria K. Eckstein; Noémi Élteto; Thomas L. Griffiths 001; Susanne Haridi; et al. (CoRR, 2024)

When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning. - Nishad Singhi; Hritik Bansal; Arian Hosseini; Aditya Grover; Kai-Wei Chang; Marcus Rohrbach; Anna Rohrbach (CoRR, 2025)