70 citations · 75 across the 9 of their papers we have counts for
9 papers
Patterns of Priming in Production: Lexical, Semantic and Structural Alignment in Language Model Generation
Giulia Pucci, Ruizhe Li, Arabella Sinclair
This paper investigates structural priming in language model (LM) production, examining how preceding structural context influences sentence completion. While prior work has demons…
Food Noise & False Safety: A Systematic Evaluation of How LLMs Fail to Adapt to Eating Disorder Queries with Clinician Feedback
Giulia Pucci, Emily Hemendinger, Ruizhe Li +3
Recent evidence shows that people with eating disorders (EDs) are increasingly seeking guidance, advice, and emotional support from Large Language Model (LLM)-based chat systems. A…
Surprisal Minimisation over Goal-directed Alternatives Predicts Production Choice in Dialogue
Tom Utting, Mario Giulianelli, Arabella Sinclair
We model utterance production as probabilistic cost-sensitive choice over contextual alternatives, using information-theoretic notions of cost. We distinguish between goal-directed…
Do Language Models Exhibit Human-like Structural Priming Effects?
Jaap Jumelet, Willem Zuidema, Arabella Sinclair
We explore which linguistic factors -- at the sentence and token level -- play an important role in influencing language model predictions, and investigate whether these are reflec…
Attribution and Alignment: Effects of Local Context Repetition on Utterance Production and Comprehension in Dialogue
Aron Molnar, Jaap Jumelet, Mario Giulianelli +1
Language models are often used as the backbone of modern dialogue systems. These models are pre-trained on large amounts of written fluent language. Repetition is typically penalis…
Construction Repetition Reduces Information Rate in Dialogue
Mario Giulianelli, Arabella Sinclair, Raquel Fernández
Speakers repeat constructions frequently in dialogue. Due to their peculiar information-theoretic properties, repetitions can be thought of as a strategy for cost-effective communi…
State-of-the-art generalisation research in NLP: A taxonomy and review
Dieuwke Hupkes, Mario Giulianelli, Verna Dankers +17
The ability to generalise well is one of the primary desiderata of natural language processing (NLP). Yet, what 'good generalisation' entails and how it should be evaluated is not…
Structural Persistence in Language Models: Priming as a Window into Abstract Language Representations
Arabella Sinclair, Jaap Jumelet, Willem Zuidema +1
We investigate the extent to which modern, neural language models are susceptible to structural priming, the phenomenon whereby the structure of a sentence makes the same structure…
Refer, Reuse, Reduce: Generating Subsequent References in Visual and Conversational Contexts
Ece Takmaz, Mario Giulianelli, Sandro Pezzelle +2
Dialogue participants often refer to entities or situations repeatedly within a conversation, which contributes to its cohesiveness. Subsequent references exploit the common ground…