Juraj Juraska
According to our database1,
Juraj Juraska
authored at least 20 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Proceedings of the Ninth Conference on Machine Translation, 2024
LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
2023
Pinpoint, Not Criticize: Refining Large Language Models via Fine-Grained Actionable Feedback.
CoRR, 2023
Proceedings of the Eighth Conference on Machine Translation, 2023
Proceedings of the Eighth Conference on Machine Translation, 2023
Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level.
Proceedings of the Eighth Conference on Machine Translation, 2023
Controllable Generation of Dialogue Acts for Dialogue Systems via Few-Shot Response Generation and Ranking.
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023
2022
PhD thesis, 2022
2021
CoRR, 2021
Attention Is Indeed All You Need: Semantically Attention-Guided Decoding for Data-to-Text NLG.
Proceedings of the 14th International Conference on Natural Language Generation, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021
2020
2019
CoRR, 2019
Proceedings of the 12th International Conference on Natural Language Generation, 2019
Entertaining and opinionated but too controlling: a large-scale user study of an open domain Alexa prize system.
Proceedings of the 1st International Conference on Conversational User Interfaces, 2019
2018
A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Characterizing Variation in Crowd-Sourced Data for Training Neural Language Generators to Produce Stylistically Varied Outputs.
Proceedings of the 11th International Conference on Natural Language Generation, 2018