8 papers
Pretrained Persona Mixture Models and Tandem Models for Human Simulation
Minwoo Kang, Téa Wright, Seun Eisape +6
We argue here that the current dominant practice in LLM human simulation: prompting instruction-tuned assistant language models to role-play personas, is inaccurate and produces st…
Learning to Refer from Estimated Listener Gaze
Téa Wright, Alane Suhr
We propose to finetune vision-language models to generate more pragmatically optimal referring expressions by transforming observations of incremental listener comprehension, in th…
An Investigation of Translationese in the Generations of Multilingual Large Language Models
Maria Valentini, Téa Wright, Julisa Granados +2
Text which has been translated from another language tends to carry with it evidence of translation$\unicode{x2014}$hence, it is often referred to as . Mul…
SATFormer: Learning When to Use Early Value Residuals in Transformers
Skye Gunasekaran, Téa Wright, Rui-Jie Zhu +1
Recent Transformer architectures expose later layers to representations computed in earlier layers, motivated by the observation that low-level features can become harder to recove…
ScribbleEdit: Synthetic Data for Image Editing with Scribbles and Text
Anya Ji, George Ma, Téa Wright +4
Recent progress in generative models has significantly advanced image editing capabilities, yet precise and intuitive user control remains difficult. Specifically, users often stru…
Characterizing Language Use in a Collaborative Situated Game
Nicholas Tomlin, Naitian Zhou, Eve Fleisig +10
Cooperative video games, where multiple participants must coordinate by communicating and reasoning under uncertainty in complex environments, yield a rich source of language data.…
Measuring Contextual Informativeness in Child-Directed Text
Maria Valentini, Téa Wright, Ali Marashian +3
To address an important gap in creating children's stories for vocabulary enrichment, we investigate the automatic evaluation of how well stories convey the semantics of target voc…
On the Automatic Generation and Simplification of Children's Stories
Maria Valentini, Jennifer Weber, Jesus Salcido +3
With recent advances in large language models (LLMs), the concept of automatically generating children's educational materials has become increasingly realistic. Working toward the…