9 citations · 49 across the 32 of their papers we have counts for
6 papers · 2 filters
Investigating Multi-Cultural Value Selection Biases in LLMs
Siddhesh Pawar, Arnav Arora, Dustin Wright +2
Large language models (LLMs) serve users whose cultural identities are multi-layered, yet cultural evaluations commonly reduce identity to one label. In this work, we study LLMs un…
The Role of Implicit and Explicit Demographic Signals in Large Language Model-based Student Assessment
Donya Rooein, Luca Benedetto, Dirk Hovy
Large Language Models are now common in student assessment, but we know little about how student demographics affect their use. Sometimes, considering student demographics may be n…
WildSEEK: Evaluating Language Models for Information-Seeking
Tanise Ceron, Joachim Baumann, Elisa Bassignana +3
Language models are increasingly mediating information access to end users, urging a systematic evaluation of their responses for a fair and reliable information ecosystem. Existin…
Diffusion Language Models Are Natively Length-Aware
Vittorio Rossi, Giacomo Cirò, Davide Beltrame +3
Unlike autoregressive language models, which terminate variable-length generation upon predicting an End-of-Sequence (EoS) token, Diffusion Language Models (DLMs) operate over a fi…
Do Large Language Models Adapt to Language Variation across Socioeconomic Status?
Elisa Bassignana, Mike Zhang, Dirk Hovy +1
Humans adjust their linguistic style to the audience they are addressing. However, the extent to which LLMs adapt to different social contexts is largely unknown. As these models i…
PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors
Donya Rooein, Sankalan Pal Chowdhury, Mariia Eremeeva +4
Recent advances in large language models (LLMs) demonstrate their potential as educational tutors. However, different tutoring strategies benefit different student personalities, a…