9 citations · 23 across the 12 of their papers we have counts for
9 papers · 1 filter
Self-Consistency of Large Language Models under Ambiguity
Henning Bartsch, Ole Jorgensen, Domenic Rosati +2
Large language models (LLMs) that do not give consistent answers across contexts are problematic when used for tasks with expectations of consistency, e.g., question-answering, exp…
Semantic Consistency for Assuring Reliability of Large Language Models
Harsh Raj, Vipul Gupta, Domenic Rosati +1
Large Language Models (LLMs) exhibit remarkable fluency and competence across various natural language tasks. However, recent research has highlighted their sensitivity to variatio…
Background Knowledge Grounding for Readable, Relevant, and Factual Biomedical Lay Summaries
Domenic Rosati
Communication of scientific findings to the public is important for keeping non-experts informed of developments such as life-saving medical treatments. However, generating readabl…
Mixture of Soft Prompts for Controllable Data Generation
Derek Chen, Celine Lee, Yunan Lu +2
Large language models (LLMs) effectively generate fluent text when the target output follows natural language patterns. However, structured prediction tasks confine the output form…
Measuring Reliability of Large Language Models through Semantic Consistency
Harsh Raj, Domenic Rosati, Subhabrata Majumdar
While large pretrained language models (PLMs) demonstrate incredible fluency and performance on many natural language tasks, recent work has shown that well-performing PLMs are ver…
Using contradictions improves question answering systems
Étienne Fortier-Dubois, Domenic Rosati
This work examines the use of contradiction in natural language inference (NLI) for question answering (QA). Typically, NLI systems help answer questions by determining if a potent…
Moving beyond word lists: towards abstractive topic labels for human-like topics of scientific documents
Domenic Rosati
Topic models represent groups of documents as a list of words (the topic labels). This work asks whether an alternative approach to topic labeling can be developed that is closer t…
SynSciPass: detecting appropriate uses of scientific text generation
Domenic Rosati
Approaches to machine generated text detection tend to focus on binary classification of human versus machine written text. In the scientific domain where publishers might use thes…
Learning to pronounce as measuring cross-lingual joint orthography-phonology complexity
Domenic Rosati
Machine learning models allow us to compare languages by showing how hard a task in each language might be to learn and perform well on. Following this line of investigation, we ex…