Maxwell Crouse

Orcid: 0000-0002-7327-7508

According to our database1, Maxwell Crouse authored at least 23 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2018
2019
2020
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2022
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2024
2025
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Legend:

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Links

On csauthors.net:

Bibliography

2025
Quantitative ultrasound augmented with machine learning to assess tissue microstructure during wound healing.
Biomed. Signal Process. Control., 2025

2024
NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls.
CoRR, 2024

Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks.
CoRR, 2024

Granite Code Models: A Family of Open Foundation Models for Code Intelligence.
CoRR, 2024

API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs.
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

API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Learning to Guide a Saturation-Based Theorem Prover.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Formally Specifying the High-Level Behavior of LLM-Based Agents.
CoRR, 2023

Compositional Program Generation for Systematic Generalization.
CoRR, 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

Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing.
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
Neural Analogical Matching.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving.
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

High-Fidelity Vector Space Models of Structured Data.
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


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