publications
2026
- ArXivTo Call or Not to Call: A Framework to Assess and Optimize LLM Tool CallingArXiv, 2026Under Review
- ICMLTemporal Context Reinstatement Drives Episodic-Like Order Memory in Long-Context Language ModelsForty-third International Conference on Machine Learning (ICML 2026), 2026
- ACLFine-tuning vs. In-context Learning in Large Language Models: A Formal Language Learning Perspective[Oral] The 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), 2026
- ACLCharacterizing Web Search in The Age of Generative AIThe 64th Annual Meeting of the Association for Computational Linguistics, Findings (ACL 2026), 2026Early version at Agents in the Wild: Safety, Security, and Beyond workshop in ICLR 2026
- ICLRIn Agents We Trust, but Who Do Agents Trust? Latent Source Preferences Steer LLM GenerationsThe Fourteenth International Conference on Learning Representations, ICLR 2026, April 23-27, 2026, Rio de Janeiro, Brazil, 2026Present in The International Association for Safe & Ethical AI second annual conference (IASEAIʼ26), non-archival
- ICLRRote Learning Considered Useful: Generalizing over Memorized Data in LLMsThe Fourteenth International Conference on Learning Representations, ICLR 2026, April 23-27, 2026, Rio de Janeiro, Brazil, 2026Present in The International Association for Safe & Ethical AI second annual conference (IASEAIʼ26), non-archival
- IASEAIRevisiting Privacy, Utility, and Efficiency Trade-offs when Fine-Tuning Large Language ModelsThe International Association for Safe & Ethical AI second annual conference (IASEAIʼ26), 2026
2025
- Workshop@ICMLRethinking Memorization Measures in LLMs: Recollection vs. Counterfactual vs. Contextual MemorizationThe Impact of Memorization on Trustworthy Foundation Models: ICML 2025 Workshop, 2025
- ArXiv
2024
2022
- Journal