← Authors

Felix Stahlberg

28 papers · 2016–2025 · 5 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (9) 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (8) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (57) 🧭 Keyword Pioneer 🀝 Dynamic Duo (16) πŸ† Keyword Champion (2) πŸ”¬ Deep Specialist (13) 🧬 Topic Evolution πŸ“ˆ Trend Setter ⚑ Prolific Year (8) ❓ The Questioner (3) πŸ—ƒοΈ Keyword Collector (120) πŸ’Ž Century Club (28) πŸ”₯ Unstoppable (10)

Conferences

EMNLP (10) ACL (9) NAACL (5) EACL (3) IJCNLP (1)

Top co-authors

Bill Byrne (16) Shankar Kumar (11) Danielle Saunders (7) AdriΓ  de Gispert (5) Eva Hasler (3) Ilia Kulikov (1) Simon Flachs (1) Arya McCarthy (1) Jakub Adamek (1) Yue Dong (1)

Keywords

neural machine translation (16) grammatical error correction (9) beam search (5) text generation (3) ensemble learning (3) finite state transducer (3) language model (3) synthetic data generation (3) model compression (3) transfer learning (3) sequence-to-sequence model (3) elastic weight consolidation (2) neural language model (2) statistical machine translation (2) domain adaptation (2) text simplification (2) knowledge distillation (2) convolutional neural network (2) minimum bayes risk (2) checkpoint averaging (2)

Papers

The Role of Outgoing Connection Heterogeneity in Feedforward Layers of Large Language Models EMNLP 2025
Synthetic Data Generation for Low-resource Grammatical Error Correction with Tagged Corruption Models NAACL 2024
Towards an On-device Agent for Text Rewriting NAACL 2024
Long-Form Speech Translation through Segmentation with Finite-State Decoding Constraints on Large Language Models EMNLP 2023
Conciseness: An Overlooked Language Task EMNLP 2022
Uncertainty Determines the Adequacy of the Mode and the Tractability of Decoding in Sequence-to-Sequence Models ACL 2022
Text Generation with Text-Editing Models NAACL 2022
Jam or Cream First? Modeling Ambiguity in Neural Machine Translation with SCONES NAACL 2022
Data Strategies for Low-Resource Grammatical Error Correction EACL 2021
Synthetic Data Generation for Grammatical Error Correction with Tagged Corruption Models EACL 2021
Seq2Edits: Sequence Transduction Using Span-level Edit Operations EMNLP 2020
Using Context in Neural Machine Translation Training Objectives ACL 2020
Domain Adaptive Inference for Neural Machine Translation ACL 2019
The CUED’s Grammatical Error Correction Systems for BEA-2019 ACL 2019
CUED@WMT19:EWC&LMs ACL 2019
UCAM Biomedical Translation at WMT19: Transfer Learning Multi-domain Ensembles ACL 2019
On NMT Search Errors and Model Errors: Cat Got Your Tongue? IJCNLP 2019
Neural and FST-based approaches to grammatical error correction ACL 2019
Neural Grammatical Error Correction with Finite State Transducers NAACL 2019
On NMT Search Errors and Model Errors: Cat Got Your Tongue? EMNLP 2019
An Operation Sequence Model for Explainable Neural Machine Translation EMNLP 2018
Multi-representation ensembles and delayed SGD updates improve syntax-based NMT ACL 2018
Simple Fusion: Return of the Language Model EMNLP 2018
The University of Cambridge’s Machine Translation Systems for WMT18 EMNLP 2018
SGNMT – A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies EMNLP 2017
Unfolding and Shrinking Neural Machine Translation Ensembles EMNLP 2017
Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices EACL 2017
Syntactically Guided Neural Machine Translation ACL 2016