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cs.CL2026
Last Translation Benchmark
Vilém Zouhar, Niyati Bafna, Mukund Choudhary +263
For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…
cs.LG2026
CAREBench: A Child-Safety Risk Benchmark for Language Models
Kaavya Krishna-Kumar, Elaine Lau, Vaughn Robinson +6
How can we evaluate whether frontier AI systems recognize child-safety risks before they escalate into explicit harm? Existing child safety evaluations focus on child sexual abuse…
cs.CL2026
Translation as a Scalable Proxy for Multilingual Evaluation
Sheriff Issaka, Erick Rosas Gonzalez, Lieqi Liu +6
The rapid proliferation of LLMs has created a critical evaluation paradox: while LLMs claim multilingual proficiency, comprehensive non-machine-translated benchmarks exist for fewe…