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cs.CL2026
Mind Which Bird You Favour: Parameterizing Adequacy-Fluency Balance in Meta-Evaluation of Machine Translation
Behzad Shayegh, Niloofar Kazemi
There is a tradeoff in machine translation meta-evaluation between prioritizing alignment with adequacy versus fluency. The balance depends on the combination of translation system…
cs.CL2026
Can LLMs Take Retrieved Information with a Grain of Salt?
Behzad Shayegh, Mohamed Osama Ahmed, Fred Tung +1
Large language models have demonstrated impressive retrieval-augmented capabilities. However, a crucial area remains underexplored: their ability to appropriately adapt responses t…