2 papers
cs.CL2026
Can Linguistically Related Languages Guide LLM Translation in Low-Resource Settings?
Aishwarya Ramasethu, Niyathi Allu, Rohin Garg +2
Large Language Models (LLMs) have achieved strong performance across many downstream tasks, yet their effectiveness in extremely low-resource machine translation remains limited. S…
cs.SE2025
Risk Management for Mitigating Benchmark Failure Modes: BenchRisk
Sean McGregor, Victor Lu, Vassil Tashev +8
Large language model (LLM) benchmarks inform LLM use decisions (e.g., "is this LLM safe to deploy for my use case and context?"). However, benchmarks may be rendered unreliable by…