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Kristina Gligoric

3 accepted papers

2025

Can Unconfident LLM Annotations Be Used for Confident Conclusions?

NAACL 2025long

Large language models (LLMs) have shown high agreement with human raters across a variety of tasks, demonstrating potential to ease the challenges of human data collection. In computational social science (CSS), researchers are increasingly leveraging LLM annotations to complement slow and expensive…

2024

Grounding Gaps in Language Model Generations

NAACL 2024long

Effective conversation requires common ground: a shared understanding between the participants. Common ground, however, does not emerge spontaneously in conversation. Speakers and listeners work together to both identify and construct a shared basis while avoiding misunderstanding. To accomplish gro…

2024

NLP Systems That Can’t Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps

NAACL 2024long

The use of words to convey speaker’s intent is traditionally distinguished from the ‘mention’ of words for quoting what someone said, or pointing out properties of a word. Here we show that computationally modeling this use-mention distinction is crucial for dealing with counterspeech online. Counte…