Brielen Madureira
Orcid: 0000-0003-2465-1062
According to our database1,
Brielen Madureira
authored at least 15 papers
between 2020 and 2024.
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Bibliography
2024
Incrementally enriching the common ground: cognitively motivated evaluative approaches to dialogue processing with deep learning models.
PhD thesis, 2024
clembench-2024: A Challenging, Dynamic, Complementary, Multilingual Benchmark and Underlying Flexible Framework for LLMs as Multi-Action Agents.
CoRR, 2024
Taking Action Towards Graceful Interaction: The Effects of Performing Actions on Modelling Policies for Instruction Clarification Requests.
CoRR, 2024
It Couldn't Help but Overhear: On the Limits of Modelling Meta-Communicative Grounding Acts with Supervised Learning.
Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2024
When Only Time Will Tell: Interpreting How Transformers Process Local Ambiguities Through the Lens of Restart-Incrementality.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
"Are you telling me to put glasses on the dog?" Content-Grounded Annotation of Instruction Clarification Requests in the CoDraw Dataset.
CoRR, 2023
The Road to Quality is Paved with Good Revisions: A Detailed Evaluation Methodology for Revision Policies in Incremental Sequence Labelling.
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023
clembench: Using Game Play to Evaluate Chat-Optimized Language Models as Conversational Agents.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Instruction Clarification Requests in Multimodal Collaborative Dialogue Games: Tasks, and an Analysis of the CoDraw Dataset.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Revising with a Backward Glance: Regressions and Skips during Reading as Cognitive Signals for Revision Policies in Incremental Processing.
Proceedings of the 27th Conference on Computational Natural Language Learning, 2023
TAPIR: Learning Adaptive Revision for Incremental Natural Language Understanding with a Two-Pass Model.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Can Visual Dialogue Models Do Scorekeeping? Exploring How Dialogue Representations Incrementally Encode Shared Knowledge.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022
2021
Towards Incremental Transformers: An Empirical Analysis of Transformer Models for Incremental NLU.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
2020
CoRR, 2020
Incremental Processing in the Age of Non-Incremental Encoders: An Empirical Assessment of Bidirectional Models for Incremental NLU.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020