Research theme
Collaborative & Resource-Aware Agentic Intelligence
When does exchanging information improve a collective decision—and when is communication worth its cost?
My research investigates how agents with different information can communicate and cooperate. It connects information-theoretic foundations of distributed inference with pragmatic models of retrieval and dialogue.
A central theme is that communication should be understood through its contribution to a shared task: what an agent communicates, what another agent can infer, and how the exchange changes subsequent decisions.
Key questions
- What information should agents exchange to solve a shared task?
- How can communication account for another agent’s knowledge and beliefs?
- What are the benefits and limits of interaction under communication constraints?
Selected contributions
EMNLP · 2025
Collaborative Rational Speech Act: Pragmatic Reasoning for Multi-Turn Dialog
Studying collaborative dialogue between agents with private information.
SIGIR · 2025
Rational Retrieval Acts: Leveraging Pragmatic Reasoning to Improve Sparse Retrieval
Applying pragmatic reasoning to the information conveyed by retrieval terms.
IEEE Transactions on Information Theory · 2019
Collaborative Information Bottleneck
Studying trade-offs between communication complexity and relevant information in a cooperative setting.
IEEE Transactions on Information Theory · 2017
The Three-Terminal Interactive Lossy Source Coding Problem
Investigating fundamental limits of interactive communication for reconstructing distributed sources.
Ongoing research
Building on these contributions, I am interested in how collaborative systems should allocate information, computation, and communication to support reliable decisions under limited resources.