320 citations · 368 across the 11 of their papers we have counts for
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cs.LG2025
Robustness is Important: Limitations of LLMs for Data Fitting
Hejia Liu, Mochen Yang, Gediminas Adomavicius
Large Language Models (LLMs) are being applied in a wide array of settings, well beyond the typical language-oriented use cases. In particular, LLMs are increasingly used as a plug…
cs.IR2025★ 3 cited
De-centering the (Traditional) User: Multistakeholder Evaluation of Recommender Systems
Robin Burke, Gediminas Adomavicius, Toine Bogers +7
Multistakeholder recommender systems are those that account for the impacts and preferences of multiple groups of individuals, not just the end users receiving recommendations. Due…