3 papers
cs.CL2026
Divergent large language model predictions from convergent representations in ambiguous word pairs
K. Jack Scott, Narun Pat, Veronica Liesaputra
In this work we investigate how decoder-only transformers resolve lexical ambiguity through layer-by-layer analysis of three models spanning three parameter sizes (GPT-2-Small-117M…
cs.IR2026
NewsTorch: A PyTorch-based Toolkit for Learner-oriented News Recommendation
Rongyao Wang, Veronica Liesaputra, Zhiyi Huang
News recommender systems are devised to alleviate the information overload, attracting more and more researchers' attention in recent years. The lack of a dedicated learner-oriente…
cs.IR2025
A Survey on LLM-based News Recommender Systems
Rongyao Wang, Veronica Liesaputra, Zhiyi Huang
News recommender systems play a critical role in mitigating the information overload problem. In recent years, due to the successful applications of large language model technologi…