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cs.AI2026
ACED-Bench: Evaluating How LLM Agents Acquire and Act on Causal Evidence
Yiwei Chen, Amila Weerasinghe, Siddharth Biswal +4
Large language models are increasingly used as scientific assistants, yet we still lack reliable ways to evaluate whether they can investigate a system rather than merely answer a…
cs.CL2026
Translation or Recitation? Calibrating Evaluation Scores for Machine Translation of Extremely Low-Resource Languages
Danlu Chen, Ka Sing He, Jiahe Tian +4
The landscape of extremely low-resource machine translation (MT) is characterized by perplexing variability in reported performance, often making results across different language…