13.11.2020
MCML at EMNLP 2020
Two Accepted Papers (2 Findings)
Conference on Empirical Methods in Natural Language Processing, Virtual, Nov 16-20, 2020
We are happy to announce that MCML researchers have contributed a total of 2 papers to EMNLP 2020: 2 Finding papers. Congrats to our researchers!
Findings Track (2 papers)
BERT-kNN: Adding a kNN Search Component to Pretrained Language Models for Better QA.
Findings @EMNLP 2020 - Findings of the Conference on Empirical Methods in Natural Language Processing. Virtual, Nov 16-20, 2020. DOI
SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized Embeddings.
Findings @EMNLP 2020 - Findings of the Conference on Empirical Methods in Natural Language Processing. Virtual, Nov 16-20, 2020. DOI
Related
24.02.2026
Cosmology: Measuring the Expansion of the Universe With Cosmic Fireworks
Daniel Gruen leads LMU’s campaign on rare SN Winny to refine the Hubble constant and address the Hubble tension in cosmology.
19.02.2026
COSMOS – Teaching Vision-Language Models to Look Beyond the Obvious
Presented at CVPR 2025, COSMOS shows how smarter training helps VLMs learn from details and context, improving AI understanding without larger models.
05.02.2026
Daniel Rückert and Fabian Theis Awarded Google.org AI for Science Grant
Daniel Rueckert and Fabian Theis receive Google.org AI funding to develop multiscale AI models for biomedical disease simulation.
