2 citations · 2 across the 11 of their papers we have counts for
6 papers · 1 filter
Strategic Self-Consistency
Tori Qiu, Ander Artola Velasco, Manuel Gomez-Rodriguez
Self-consistency has become a popular technique for enhancing the reasoning abilities of large language models by generating multiple reasoning paths and selecting the final answer…
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…
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…
Towards Human-AI Complementarity in Matching Tasks
Adrian Arnaiz-Rodriguez, Nina Corvelo Benz, Suhas Thejaswi +2
Data-driven algorithmic matching systems promise to help human decision makers make better matching decisions in a wide variety of high-stakes application domains, such as healthca…
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…
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…