Maxwell Crouse
Orcid: 0000-0002-7327-7508
According to our database1,
Maxwell Crouse
authored at least 23 papers
between 2018 and 2025.
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Bibliography
2025
Quantitative ultrasound augmented with machine learning to assess tissue microstructure during wound healing.
Biomed. Signal Process. Control., 2025
2024
CoRR, 2024
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., 2023
Scalable Learning of Latent Language Structure With Logical Offline Cycle Consistency.
CoRR, 2023
An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural Representations.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Self-Supervised Rule Learning to Link Text Segments to Relational Elements of Structured Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
An Experimental Study of Formula Embeddings for Automated Theorem Proving in First-Order Logic.
CoRR, 2020
2019
Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling.
CoRR, 2019
A Deep Reinforcement Learning based Approach to Learning Transferable Proof Guidance Strategies.
CoRR, 2019
2018
Learning From Unannotated QA Pairs to Analogically Disambiguate and Answer Questions.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018