70 citations · 145 across the 19 of their papers we have counts for
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Shared Doubt: Zero-Shot Cross-Lingual Confidence Estimation for Language Models
Athina Kyriakou, Dennis Ulmer, Ivan Titov
Confidence estimation (CE), i.e. quantifying the reliability of a model's prediction, has attracted great interest in the context of large language models (LLMs). However, most stu…
Probing for Knowledge Attribution in Large Language Models
Ivo Brink, Alexander Boer, Dennis Ulmer
Large language model (LLM) hallucinations, meaning fluent but factually incorrect generations, fall into two types: faithfulness violations, where the model misuses provided contex…
Queer NLP: A Critical Survey on Literature Gaps, Biases and Trends
Sabine Weber, Angelina Wang, Ankush Gupta +16
Natural language processing (NLP) technologies are rapidly reshaping how language is created, processed, and interpreted by humans. With current and potential applications in hirin…
Calibration Is Not Enough: Evaluating Confidence Estimation Under Language Variations
Yuxi Xia, Dennis Ulmer, Terra Blevins +3
Confidence estimation (CE) indicates how reliable the answers of large language models are and impacts user trust and decision-making. Existing evaluations mainly concern the align…