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2020 – today
- 2024
[c4]Tannon Kew, Florian Schottmann, Rico Sennrich:
Turning English-centric LLMs Into Polyglots: How Much Multilinguality Is Needed? EMNLP (Findings) 2024: 13097-13124- 2023
- [j1]Dieuwke Hupkes, Mario Giulianelli
, Verna Dankers, Mikel Artetxe, Yanai Elazar, Tiago Pimentel, Christos E. Christodoulopoulos, Karim Lasri, Naomi Saphra, Arabella Sinclair, Dennis Ulmer, Florian Schottmann, Khuyagbaatar Batsuren, Kaiser Sun, Koustuv Sinha, Leila Khalatbari, Maria Ryskina, Rita Frieske, Ryan Cotterell, Zhijing Jin:
A taxonomy and review of generalization research in NLP. Nat. Mac. Intell. 5(10): 1161-1174 (2023) - [c3]Chantal Amrhein, Florian Schottmann, Rico Sennrich, Samuel Läubli:
Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model. ACL (1) 2023: 4486-4506 - [c2]Noëmi Aepli, Chantal Amrhein, Florian Schottmann, Rico Sennrich:
A Benchmark for Evaluating Machine Translation Metrics on Dialects without Standard Orthography. WMT 2023: 1045-1065 - [i4]Chantal Amrhein, Florian Schottmann, Rico Sennrich, Samuel Läubli:
Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model. CoRR abs/2305.11140 (2023) - [i3]Noëmi Aepli, Chantal Amrhein, Florian Schottmann, Rico Sennrich:
A Benchmark for Evaluating Machine Translation Metrics on Dialects Without Standard Orthography. CoRR abs/2311.16865 (2023) - [i2]Tannon Kew, Florian Schottmann, Rico Sennrich:
Turning English-centric LLMs Into Polyglots: How Much Multilinguality Is Needed? CoRR abs/2312.12683 (2023) - 2022
- [c1]Florian Schottmann, Vincent Fortuin, Edoardo M. Ponti, Ryan Cotterell:
On Interpretable Reranking-Based Dependency Parsing Systems. SwissText 2022: 23-28 - [i1]Dieuwke Hupkes, Mario Giulianelli, Verna Dankers, Mikel Artetxe, Yanai Elazar, Tiago Pimentel, Christos Christodoulopoulos, Karim Lasri, Naomi Saphra, Arabella Sinclair, Dennis Ulmer, Florian Schottmann, Khuyagbaatar Batsuren, Kaiser Sun, Koustuv Sinha, Leila Khalatbari, Maria Ryskina, Rita Frieske, Ryan Cotterell, Zhijing Jin:
State-of-the-art generalisation research in NLP: a taxonomy and review. CoRR abs/2210.03050 (2022)
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