Publications

2026

  1. reward_hacking_probe.png
    Monitoring and Discovering Reward Hacking with Internal Representations during LLM Evaluations
    Leon Bergen*, Usha Bhalla*, Andrew Lee*, Barak Widawsky*, Linas Nasvytis*, Connor Watts*, Siddharth Boppana, Sidharth Baskaran, Dron Hazra, Michael Byun, and  others
    arXiv preprint arXiv:2609.19101, 2026.
  2. auto_psych.png
    AUTO-PSYCH: Automating the science of mind using agent-driven theory discovery and experimentation
    Ben Prystawski, Kushin Mukherjee, Daniel Wurgaft, Linas Nasvytis, Michael Y Li, Noah D Goodman, and Michael C Frank
    COLM Workshop on Language Models for Scientific Discovery, 2026. (Outstanding Paper Award)
  3. CORE.png
    CORE: Contrastive Reflection Enables Rapid Improvements in Reasoning
    Linas Nasvytis, Simon Jerome Han, Ben Prystawski, Satchel Grant, Noah D Goodman, and Judith E Fan
    arXiv preprint arXiv:2605.28742, 2026.
  4. leveraging_speech.png
    Leveraging Speech to Identify Signatures of Insight and Transfer in Problem Solving
    Linas Nasvytis, and Judith E Fan
    Cogsci, 2026.

2025

  1. belief_neglect_2025.png
    Belief Neglect: A Heuristic in Social Reasoning
    Linas Nasvytis, Samuel J Gershman, and Fiery Cushman
    PsyArXiv Preprint, 2025.
  2. Cogsci_2025_fig.png
    Prioritized memory can explain the effect of value on category representation
    Linas Nasvytis, Joshua Knobe, and Fiery Cushman
    Cogsci, 2025.

2024

  1. AAMAS_fig.png
    Rethinking Out-of-Distribution Detection for Reinforcement Learning: Advancing Methods for Evaluation and Detection
    Linas Nasvytis, Kai Sandbrink, Jakob Foerster, Tim Franzmeyer, and Christian Schroeder de Witt
    AAMAS, 2024. (Oral Presentation)
  2. IMOL_fig.png
    Using adaptive intrinsic motivation in RL to model learning across development
    Kai J Sandbrink, Brian Christian, Linas Nasvytis, Christian Schroeder de Witt, and Patrick Butlin
    NeurIPS Intrinsically Motivated Open-ended Learning Workshop, 2024.