Monitoring and explainability of models in production. - Janis Klaise; Arnaud Van Looveren; Clive Cox; Giovanni Vacanti; Alexandru Coca (CoRR, 2020)

Alibi Explain: Algorithms for Explaining Machine Learning Models. - Janis Klaise; Arnaud Van Looveren; Giovanni Vacanti; Alexandru Coca (J. Mach. Learn. Res., 2021)

uFACT: Unfaithful Alien-Corpora Training for Semantically Consistent Data-to-Text Generation. - Tisha Anders; Alexandru Coca; Bill Byrne (ACL (Findings), 2022)

More Robust Schema-Guided Dialogue State Tracking via Tree-Based Paraphrase Ranking. - Alexandru Coca; Bo-Hsiang Tseng; Weizhe Lin; Bill Byrne (EACL (Findings), 2023)

Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question Answering. - Weizhe Lin; Jinghong Chen; Jingbiao Mei; Alexandru Coca; Bill Byrne (NeurIPS, 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 (SIGDIAL, 2023)

Effective and Efficient Conversation Retrieval for Dialogue State Tracking with Implicit Text Summaries. - Seanie Lee; Jianpeng Cheng 002; Joris Driesen; Alexandru Coca; Anders Johannsen (NAACL-HLT, 2024)

LUCID: LLM-Generated Utterances for Complex and Interesting Dialogues. - Joe Stacey; Jianpeng Cheng 002; John Torr; Tristan Guigue; Joris Driesen; Alexandru Coca; Mark Gaynor; Anders Johannsen (NAACL (Student Research Workshop), 2024)

ASPERA: A Simulated Environment to Evaluate Planning for Complex Action Execution. - Alexandru Coca; Mark Gaynor; Zhenxing Zhang; Jianpeng Cheng 001; Bo-Hsiang Tseng; Peter Boothroyd; Héctor Martínez Alonso; Diarmuid Ó Séaghdha; Anders Johannsen (ACL (1), 2025)