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20212026
most citedReinforcement Learning Under Algorithmic Triage

1 citations · 1 across the 5 of their papers we have counts for

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cs.LG2026

Learning to Decide with AI Assistance under Human-Alignment

Nina Corvelo Benz, Eleni Straitouri, Manuel Gomez-Rodriguez

It is widely agreed that when AI models assist decision-makers in high-stakes domains by predicting an outcome of interest, they should communicate the confidence of their predicti…

cs.LG2025

Narrowing Action Choices with AI Improves Human Sequential Decisions

Eleni Straitouri, Stratis Tsirtsis, Ander Artola Velasco +1

Recent work has shown that, in classification tasks, it is possible to design decision support systems that do not require human experts to understand when to cede agency to a clas…

cs.LG2024

Counterfactual Token Generation in Large Language Models

Ivi Chatzi, Nina Corvelo Benz, Eleni Straitouri +2

"Sure, I am happy to generate a story for you: Captain Lyra stood at the helm of her trusty ship, the Maelstrom's Fury, gazing out at the endless sea. [...] Lyra's eyes welled up w…

cs.LG2024

Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets

Eleni Straitouri, Suhas Thejaswi, Manuel Gomez Rodriguez

Decision support systems based on prediction sets help humans solve multiclass classification tasks by narrowing down the set of potential label values to a subset of them, namely…

cs.LG2024

Towards Human-AI Complementarity with Prediction Sets

Giovanni De Toni, Nastaran Okati, Suhas Thejaswi +2

Decision support systems based on prediction sets have proven to be effective at helping human experts solve classification tasks. Rather than providing single-label predictions, t…

cs.LG2024

Prediction-Powered Ranking of Large Language Models

Ivi Chatzi, Eleni Straitouri, Suhas Thejaswi +1

Large language models are often ranked according to their level of alignment with human preferences -- a model is better than other models if its outputs are more frequently prefer…