10 citations · 37 across the 29 of their papers we have counts for
5 papers · 1 filter
Do Cantonese-Adapted Language Models Better Predict Cantonese Reading? A Cross-Model Eye-Tracking Evaluation
Ziqi Zhang, Emmanuele Chersoni, Mohammad Momenian
Information-theoretic measures derived from autoregressive language models are widely used to characterize the expectations that shape human reading, but whether language-variety-s…
Know It, Act on It: Investigating Memory Utilization in LLM Personalization
Zhaoxin Feng, Jianfei Ma, Emmanuele Chersoni
As large language model (LLM) agents evolve into personalized companions, memory has emerged as a core capability. However, LLMs face a knowledge utilization problem: they may fail…
Every Time I Hire a Linguist, Inference Costs Go Down: On Linguistic Rules as Effective Prompt Compressors
Jianfei Ma, Zhaoxin Feng, Emmanuele Chersoni +1
Prompt compression shortens LLM input to reduce inference cost, yet existing methods score token importance through LM forward passes. It remains questionable whether such nuanced,…
Is Length Really A Liability? An Evaluation of Multi-turn LLM Conversations using BoolQ
Karl Neergaard, Le Qiu, Emmanuele Chersoni
Single-prompt evaluations dominate current LLM benchmarking, yet they fail to capture the conversational dynamics where real-world harm occurs. In this study, we examined whether c…
Can Large Language Models Understand, Reason About, and Generate Code-Switched Text?
Genta Indra Winata, David Anugraha, Patrick Amadeus Irawan +15
Code-switching is a pervasive phenomenon in multilingual communication, yet the robustness of large language models (LLMs) in mixed-language settings remains insufficiently underst…