83 citations · 83 across the 6 of their papers we have counts for
4 papers · 1 filter
Input Matters: Evaluating Input Structure's Impact on LLM Summaries of Sports Play-by-Play
Barkavi Sundararajan, Somayajulu Sripada, Ehud Reiter
A major concern when deploying LLMs in accuracy-critical domains such as sports reporting is that the generated text may not faithfully reflect the input data. We quantify how inpu…
Distributional Semantics Tracing: A Framework for Explaining Hallucinations in Large Language Models
Gagan Bhatia, Somayajulu G Sripada, Kevin Allan +1
Hallucinations in large language models (LLMs) produce fluent continuations that are not supported by the prompt, especially under minimal contextual cues and ambiguity. We introdu…
Improving Factual Accuracy of Neural Table-to-Text Output by Addressing Input Problems in ToTTo
Barkavi Sundararajan, Somayajulu Sripada, Ehud Reiter
Neural Table-to-Text models tend to hallucinate, producing texts that contain factual errors. We investigate whether such errors in the output can be traced back to problems with t…
Acquiring Correct Knowledge for Natural Language Generation
E. Reiter, R. Robertson, S. G. Sripada
Natural language generation (NLG) systems are computer software systems that produce texts in English and other human languages, often from non-linguistic input data. NLG systems,…