Richard Antonello

According to our database, Richard Antonello authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A generative framework to bridge data-driven models and scientific theories in language neuroscience.

Richard Antonello, Chandan Singh, Shailee Jain, Aliyah R. Hsu, Jianfeng Gao, Bin Yu, Alexander Huth

CoRR, 2024

Crafting Interpretable Embeddings by Asking LLMs Questions.

Vinamra Benara, Chandan Singh, John X. Morris, Richard Antonello, Ion Stoica, Alexander G. Huth, Jianfeng Gao

CoRR, 2024

How Many Bytes Can You Take Out Of Brain-To-Text Decoding?

Richard Antonello, Nihita Sarma, Jerry Tang, Jiaru Song, Alexander Huth

CoRR, 2024

2023

Explaining black box text modules in natural language with language models.

Chandan Singh, Aliyah R. Hsu, Richard Antonello, Shailee Jain, Alexander G. Huth, Bin Yu, Jianfeng Gao

CoRR, 2023

Scaling laws for language encoding models in fMRI.

Richard Antonello, Aditya R. Vaidya, Alexander Huth

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Low-dimensional Structure in the Space of Language Representations is Reflected in Brain Responses.

Richard Antonello, Javier S. Turek, Vy Ai Vo, Alexander Huth

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Selecting Informative Contexts Improves Language Model Fine-tuning.

Richard Antonello, Nicole Beckage, Javier Turek, Alexander Huth

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Selecting Informative Contexts Improves Language Model Finetuning.

Richard Antonello, Javier Turek, Alexander Huth

CoRR, 2020