activity
20242026
collaborators

9 papers

cs.CL2026

It's Not What You Say, It's How You Say It: Evaluating LLM Responses to Expressions of Belief

Kevin Du, Clara Kümpel, Michelle Wastl +1

Users frequently express their beliefs to large language models (LLMs). In some situations, the LLM should accept these contextual beliefs as true. In others, they should stick to…

cs.CL2025

What Do Prosody and Text Convey? Characterizing How Meaningful Information is Distributed Across Multiple Channels

Aditya Yadavalli, Tiago Pimentel, Tamar I Regev +2

Prosody -- the melody of speech -- conveys critical information often not captured by the words or text of a message. In this paper, we propose an information-theoretic approach to…

cs.CL2025

The time scale of redundancy between prosody and linguistic context

Tamar I. Regev, Chiebuka Ohams, Shaylee Xie +5

In spoken communication, information is transmitted not only via words, but also through a rich array of non-verbal signals, including prosody--the non-segmental auditory features…

cs.CL2025

Using Information Theory to Characterize Prosodic Typology: The Case of Tone, Pitch-Accent and Stress-Accent

Ethan Gotlieb Wilcox, Cui Ding, Giovanni Acampa +3

This paper argues that the relationship between lexical identity and prosody -- one well-studied parameter of linguistic variation -- can be characterized using information theory.…

cs.CL2025

Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora

Alex Warstadt, Aaron Mueller, Leshem Choshen +8

Children can acquire language from less than 100 million words of input. Large language models are far less data-efficient: they typically require 3 or 4 orders of magnitude more d…

cs.CL2025

A Geometric Notion of Causal Probing

Clément Guerner, Tianyu Liu, Anej Svete +2

The linear subspace hypothesis (Bolukbasi et al., 2016) states that, in a language model's representation space, all information about a concept such as verbal number is encoded in…