Jordan Meadows

According to our database, Jordan Meadows authored at least 10 papers between 2021 and 2025.

Collaborative distances:

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

2025

Controlling Equational Reasoning in Large Language Models with Prompt Interventions.

Jordan Meadows, Marco Valentino, André Freitas

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Multi-Operational Mathematical Derivations in Latent Space.

Marco Valentino, Jordan Meadows, Lan Zhang, André Freitas

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

A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with Transformers.

Jordan Meadows, Marco Valentino, Damien Teney, André Freitas

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

Exploring the Limits of Fine-grained LLM-based Physics Inference via Premise Removal Interventions.

Jordan Meadows, Tamsin James, André Freitas

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Introduction to Mathematical Language Processing: Informal Proofs, Word Problems, and Supporting Tasks.

Jordan Meadows, André Freitas

Trans. Assoc. Comput. Linguistics, 2023

Generating Mathematical Derivations with Large Language Models.

Jordan Meadows, Marco Valentino, André Freitas

CoRR, 2023

A Symbolic Framework for Systematic Evaluation of Mathematical Reasoning with Transformers.

Jordan Meadows, Marco Valentino, Damien Teney, André Freitas

CoRR, 2023

2022

A Survey in Mathematical Language Processing.

Jordan Meadows, André Freitas

CoRR, 2022

PhysNLU: A Language Resource for Evaluating Natural Language Understanding and Explanation Coherence in Physics.

Jordan Meadows, Zili Zhou, André Freitas

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2021

Similarity-Based Equational Inference in Physics.

Jordan Meadows, André Freitas

CoRR, 2021