作者位次 #5/5ICLR 2026Poster· Social Aspects / Trustworthy Machine Learning
When Silence Is Golden: Can LLMs Learn to Abstain in Temporal QA and Beyond?
Xinyu Zhou · Chang Jin · Carsten Eickhoff · Zhijiang Guo · Seyed Ali Bahrainian
社会与人本OpenReview
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Xinyu Zhou · Chang Jin · Carsten Eickhoff · Zhijiang Guo · Seyed Ali Bahrainian
Federico Ravenda · Seyed Ali Bahrainian · Daniele Montagnani · Antonietta Mira · Andrea Raballo
Personality disorders (PDs) are a complex class of mental health (MH) conditions characterized by persistent patterns of cognition, behavior, and emotional regulation that deviate from cultural norms. While social media has become a valuable resource for MH research, NLP has largely focused on mo...
Siran Li · Ece Sena Etoglu · Carsten Eickhoff · Seyed Ali Bahrainian
Reliable evaluation is essential for understanding large language model (LLM) performance, yet today’s go-to metrics, namely token-overlap scores (e.g., ROUGE) and embedding-based measures (e.g., BERTScore), often misjudge semantic similarity of documents. Our study shows that both token-overlap...