CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared Task Paper • 2209.06243 • Published Sep 13, 2022
Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation Paper • 2208.05309 • Published Aug 10, 2022 • 1
Enhanced Hallucination Detection in Neural Machine Translation through Simple Detector Aggregation Paper • 2402.13331 • Published Feb 20, 2024 • 2
The Inside Story: Towards Better Understanding of Machine Translation Neural Evaluation Metrics Paper • 2305.11806 • Published May 19, 2023
Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning Paper • 2310.13448 • Published Oct 20, 2023 • 1
xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection Paper • 2310.10482 • Published Oct 16, 2023 • 3
Scaling up COMETKIWI: Unbabel-IST 2023 Submission for the Quality Estimation Shared Task Paper • 2309.11925 • Published Sep 21, 2023
xTower: A Multilingual LLM for Explaining and Correcting Translation Errors Paper • 2406.19482 • Published Jun 27, 2024
Zero-shot Benchmarking: A Framework for Flexible and Scalable Automatic Evaluation of Language Models Paper • 2504.01001 • Published Apr 1 • 1
Tower+: Bridging Generality and Translation Specialization in Multilingual LLMs Paper • 2506.17080 • Published Jun 20 • 4
Should We Still Pretrain Encoders with Masked Language Modeling? Paper • 2507.00994 • Published Jul 1 • 77
Should We Still Pretrain Encoders with Masked Language Modeling? Paper • 2507.00994 • Published Jul 1 • 77
Tower+: Bridging Generality and Translation Specialization in Multilingual LLMs Paper • 2506.17080 • Published Jun 20 • 4
Should We Still Pretrain Encoders with Masked Language Modeling? Paper • 2507.00994 • Published Jul 1 • 77
Synthetic is all you need: removing the auxiliary data assumption for membership inference attacks against synthetic data Paper • 2307.01701 • Published Jul 4, 2023