26 citations · 35 across the 7 of their papers we have counts for
12 papers · 1 filter
Sycophancy Undermines Epistemic Vigilance in Cooperative Vision-Language Tasks
Rupak Sarkar, Neha Srikanth, Saloni Gupta +3
To maintain common ground in cooperative conversation, humans iteratively update their beliefs as conversation participants share new information; participants who are epistemicall…
Linguistic Productivity in Large Language Models: Models Coerce, but do not Preempt
Claire Bonial, Claire Benet Post, Laura Michaelis +1
Usage-based theories of grammars posit that creative productivity of the structures of language is both bolstered and constrained by two distinct frequency signals: entrenchment, s…
Evaluating CxG Generalisation in LLMs via Construction-Based NLI Fine Tuning
Tom Mackintosh, Harish Tayyar Madabushi, Claire Bonial
We probe large language models' ability to learn deep form-meaning mappings as defined by construction grammars. We introduce the ConTest-NLI benchmark of 80k sentences covering ei…
Dancing with Deer: A Constructional Perspective on MWEs in the Era of LLMs
Claire Bonial, Julia Bonn, Harish Tayyar Madabushi
In this chapter, we argue for the benefits of understanding multiword expressions from the perspective of usage-based, construction grammar approaches. We begin with a historical o…
Neither Stochastic Parroting nor AGI: LLMs Solve Tasks through Context-Directed Extrapolation from Training Data Priors
Harish Tayyar Madabushi, Melissa Torgbi, Claire Bonial
In this position paper we raise critical awareness of a realistic view of LLM capabilities that eschews extreme alternative views that LLMs are either 'stochastic parrots' or in po…
Understanding Common Ground Misalignment in Goal-Oriented Dialog: A Case-Study with Ubuntu Chat Logs
Rupak Sarkar, Neha Srikanth, Taylor Hudson +3
While it is commonly accepted that maintaining common ground plays a role in conversational success, little prior research exists connecting conversational grounding to success in…