4 citations · 4 across the 3 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.HC2026
Explaining Too Much? Understanding How Large Language Model Reasoning Traces Influence Performance and Metacognition
Daniela Fernandes, Daniel Buschek, Lev Tankelevitch +2
Large Language Model interfaces are increasingly verbose, exposing intermediate reasoning traces alongside final answers. Traces are framed as transparency mechanisms, yet it is un…
cs.HC2026
Conversations in Space: Non-Linear LLM Interaction in Everyday Use
Rifat Mehreen Amin, Alperen Adatepe, Daniela Fernandes +2
As LLM conversations grow, their histories capture alternative directions, decisions, and evolving lines of thought that can be difficult to navigate through chat alone. We investi…