Rui Sousa-Silva

2 papers in our library · 2025–2026

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SSA-COMET: Do LLMs Outperform Learned Metrics in Evaluating MT for Under-Resourced African Languages? (2025 · 13 citations)
Automatic MT evaluation works poorly for most African languages. The earlier AfriCOMET line of metrics had no public training data, small test sets, and only one MT system per language pair, and it was unstable on very low-resource languages such as Twi and Luo. The authors built SSA-MTE, a human-annotated evaluation…
From Detection to Attribution: Forensic Linguistics and Adversarial Red Teaming as Complementary Responses to LLM Misuse (2026)
Large language models make it cheap to produce hostile or deceptive text that imitates a specific person, and safety guardrails are often bypassed.

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Papers of our library cite their works 12 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated 1 November 2026