activity
20232026
most citedLearning To Guide Human Decision Makers With Vision-Language Models

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

TradeVerse: A Longitudinal Benchmark of Political Negotiation in International Trade

Debodeep Banerjee, Amitangshu Dasgupta

LLMs are increasingly being applied to tasks involving institutional and political texts, but existing benchmarks evaluate them on isolated documents or single tasks. In realpoliti…

cs.AI2026

Hybrid Decision Making via Conformal VLM-generated Guidance

Debodeep Banerjee, Burcu Sayin, Stefano Teso +1

Building on recent advances in AI, hybrid decision making (HDM) holds the promise of improving human decision quality and reducing cognitive load. We work in the context of learnin…

cs.AI2025

MedGellan: LLM-Generated Medical Guidance to Support Physicians

Debodeep Banerjee, Burcu Sayin, Stefano Teso +1

Medical decision-making is a critical task, where errors can result in serious, potentially life-threatening consequences. While full automation remains challenging, hybrid framewo…

cs.AI2024★ 2 cited

Learning To Guide Human Decision Makers With Vision-Language Models

Debodeep Banerjee, Stefano Teso, Burcu Sayin +1

There is growing interest in AI systems that support human decision-making in high-stakes domains (e.g., medical diagnosis) to improve decision quality and reduce cognitive load. M…

cs.AI2023★ 1 cited

Learning to Guide Human Experts via Personalized Large Language Models

Debodeep Banerjee, Stefano Teso, Andrea Passerini

In learning to defer, a predictor identifies risky decisions and defers them to a human expert. One key issue with this setup is that the expert may end up over-relying on the mach…