6 citations · 18 across the 18 of their papers we have counts for
3 papers · 1 filter
Predictable Confabulations: Factual Recall by LLMs Scales with Model Size and Topic Frequency
Matthew L. Smith, Jonathan P. Shock, Samuel T. Segun +2
While scaling laws govern aggregate large language model performance, no scaling law has linked factual recall to both model size and training-data composition. We evaluated 38 mod…
Evaluation Drift in LLM Personality Induction: Are We Moving the Goalpost?
Prateek Rajput, Yewei Song, Iyiola E. Olatunji +2
Can large language models reliably express a human-like personality, or are they merely mimicking surface cues without a stable underlying profile? To investigate this, we induce p…
Context-aware Helpfulness Prediction for Online Product Reviews
Iyiola E. Olatunji, Xin Li, Wai Lam
Modeling and prediction of review helpfulness has become more predominant due to proliferation of e-commerce websites and online shops. Since the functionality of a product cannot…