Research
My research explores the intersection of Natural Language Processing and Multiagent Systems, with a focus on norms, agentic AI, and argumentation.
Publications
ReFeedGraph: Graph-grounded Reusable Feedback for Debate Improvement
EMNLP Main Conference, 2026
EMNLP Main Conference, 2026
An LLM-based architecture for programming-free enactment of multiagent interaction protocols
Ahoy - LLMs Enacting Interaction Protocols
AAMAS Engineering Multiagent Systems Workshop, 2026
AAMAS Engineering Multiagent Systems Workshop, 2026
An LLM-based architecture for programming-free enactment of multiagent interaction protocols
ArgAnalysis35K
ACL Main Conference, 2023
ACL Main Conference, 2023
A large-scale dataset for argument mining and analysis with 35K annotated examples
Interactive Parliamentary Debate Adjudication System
NeurIPS Human-in-loop-learning Workshop, 2022
NeurIPS Human-in-loop-learning Workshop, 2022
A human-in-the-loop system for automated debate adjudication using machine learning
Research in Progress
Normative Multiagent Systems for Scientific Collaboration
An LLM-based architecture for norm-aware deliberation in the scientific collaboration domain