most citedTwo Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration

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cs.CL2024

CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMs

Shuang Ao, Stefan Rueger, Advaith Siddharthan

Despite the impressive capability of large language models (LLMs), knowing when to trust their generations remains an open challenge. The recent literature on uncertainty quantific…

cs.CL2024

Textual Summarisation of Large Sets: Towards a General Approach

Kittipitch Kuptavanich, Ehud Reiter, Kees Van Deemter +1

We are developing techniques to generate summary descriptions of sets of objects. In this paper, we present and evaluate a rule-based NLG technique for summarising sets of bibliogr…