3 papers
cs.CL2026
Explicit Evidence Grounding via Structured Inline Citation Generation
Anar Yeginbergen, Amelie Wührl, Anna Rogers +1
As AI systems become more widely adopted, the demand for factual and faithful generation grows. Properly attributing information through citations becomes, therefore, crucial. This…
cs.HC2026
AInterviewer: A Platform for Designing and Conducting AI-led Qualitative Interviews
Tobias Priesholm Gardhus, Nikolas Vitsakis, Fie Lejre Frederiksen +2
There are now multiple proposals for systems based on Large Language Models (LLMs) to conduct automated qualitative interviews, but most of the current solutions rely on proprietar…
cs.LG2026
Tracing Uncertainty in Language Model "Reasoning"
Nils Grünefeld, Bertram Højer, Philipp Mondorf +5
Language model (LM) "reasoning", commonly described as Chain-of-Thought or test-time scaling, often improves benchmark performance, but the dynamics underlying this process remain…