publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2026

  1. Cross-Model In-Context Neurofeedback Reveals (Limited) Activation Control in LLMs
    Davide Baldelli, Robyn Kozierok, Mirko Bronzi, and 1 more author
    arXiv preprint arXiv:2610.20179, 2026
    arXiv Code
  2. φTD: Distributional Reinforcement Learning using Characteristic Functions
    Thomas Mousseau, Tyler Kastner, Davide Baldelli, and 1 more author
    In Advances in Neural Information Processing Systems (NeurIPS), 2026
    HTML
  3. Probabilistic Calibration Is a Trainable Capability in Language Models
    Davide Baldelli, Sruthi Kuriakose, Maryam Hashemzadeh, and 2 more authors
    arXiv preprint arXiv:2605.11845, 2026
    arXiv Code
  4. LLMs Can’t Play Hangman: On the Necessity of a Private Working Memory for Language Agents
    Davide Baldelli, Ali Parviz, Amal Zouaq, and 1 more author
    In Conference on Lifelong Learning Agents (CoLLAs), 2026
    arXiv Code

2025

  1. CADmium: Fine-Tuning Code Language Models for Text-Driven Sequential CAD Design
    Prashant Govindarajan, Davide Baldelli, Jay Pathak, and 2 more authors
    Transactions on Machine Learning Research, 2025
    arXiv Code

2024

  1. TWOLAR: a two-step LLM-augmented distillation method for passage reranking
    Davide Baldelli, Junfeng Jiang, Akiko Aizawa, and 1 more author
    In European Conference on Information Retrieval, 2024
    arXiv Code