Alexandru Coca

According to our database, Alexandru Coca authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

LUCID: LLM-Generated Utterances for Complex and Interesting Dialogues.

Joe Stacey, Jianpeng Cheng, John Torr, Tristan Guigue, Joris Driesen, Alexandru Coca, Mark Gaynor, Anders Johannsen

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, 2024

Effective and Efficient Conversation Retrieval for Dialogue State Tracking with Implicit Text Summaries.

Seanie Lee, Jianpeng Cheng, Joris Driesen, Alexandru Coca, Anders Johannsen

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

Grounding Description-Driven Dialogue State Trackers with Knowledge-Seeking Turns.

Alexandru Coca, Bo-Hsiang Tseng, Jinghong Chen, Weizhe Lin, Weixuan Zhang, Tisha Anders, Bill Byrne

Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering.

Weizhe Lin, Jinghong Chen, Jingbiao Mei, Alexandru Coca, Bill Byrne

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

More Robust Schema-Guided Dialogue State Tracking via Tree-Based Paraphrase Ranking.

Alexandru Coca, Bo-Hsiang Tseng, Weizhe Lin, Bill Byrne

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022

uFACT: Unfaithful Alien-Corpora Training for Semantically Consistent Data-to-Text Generation.

Tisha Anders, Alexandru Coca, Bill Byrne

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Alibi Explain: Algorithms for Explaining Machine Learning Models.

Janis Klaise, Arnaud Van Looveren, Giovanni Vacanti, Alexandru Coca

J. Mach. Learn. Res., 2021

2020

Monitoring and explainability of models in production.

Janis Klaise, Arnaud Van Looveren, Clive Cox, Giovanni Vacanti, Alexandru Coca

CoRR, 2020