32 citations · 77 across the 19 of their papers we have counts for
3 papers · 2 filters
Rating the Pitch, Not the Product: User Evaluations of LLMs Reflect Expectations More Than Performance
Robert Morabito, Tyler McDonald, Charitra Viswanath +4
Imagine two users interact with the same LLM. One has been told it is the cutting-edge flagship model; the other, an older, weaker model. They walk away with markedly different rat…
DART: Mitigating Harm Drift in Difference-Aware LLMs via Distill-Audit-Repair Training
Ziwen Pan, Zihan Liang, Jad Kabbara +1
Large language models (LLMs) tuned for safety often avoid acknowledging demographic differences, even when such acknowledgment is factually correct (e.g., ancestry-based disease in…
Common to Whom? Regional Cultural Commonsense and LLM Bias in India
Sangmitra Madhusudan, Trush Shashank More, Steph Buongiorno +3
Existing cultural commonsense benchmarks treat nations as monolithic, assuming uniform practices within national boundaries. But does cultural commonsense hold uniformly within a n…