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Richard Antonello
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2020 – today
- 2024
- [i7]Richard Antonello, Nihita Sarma, Jerry Tang, Jiaru Song, Alexander Huth:
How Many Bytes Can You Take Out Of Brain-To-Text Decoding? CoRR abs/2405.14055 (2024) - [i6]Vinamra Benara, Chandan Singh, John X. Morris, Richard Antonello, Ion Stoica, Alexander G. Huth, Jianfeng Gao:
Crafting Interpretable Embeddings by Asking LLMs Questions. CoRR abs/2405.16714 (2024) - [i5]Richard Antonello, Chandan Singh, Shailee Jain, Aliyah R. Hsu, Jianfeng Gao, Bin Yu, Alexander Huth:
A generative framework to bridge data-driven models and scientific theories in language neuroscience. CoRR abs/2410.00812 (2024) - 2023
- [c3]Richard Antonello, Aditya R. Vaidya, Alexander Huth:
Scaling laws for language encoding models in fMRI. NeurIPS 2023 - [i4]Chandan Singh, Aliyah R. Hsu, Richard Antonello, Shailee Jain, Alexander G. Huth, Bin Yu, Jianfeng Gao:
Explaining black box text modules in natural language with language models. CoRR abs/2305.09863 (2023) - [i3]Richard Antonello, Aditya R. Vaidya, Alexander G. Huth:
Scaling laws for language encoding models in fMRI. CoRR abs/2305.11863 (2023) - 2021
- [c2]Richard Antonello, Nicole Beckage, Javier Turek
, Alexander Huth:
Selecting Informative Contexts Improves Language Model Fine-tuning. ACL/IJCNLP (1) 2021: 1072-1085 - [c1]Richard Antonello, Javier S. Turek, Vy Ai Vo, Alexander Huth:
Low-dimensional Structure in the Space of Language Representations is Reflected in Brain Responses. NeurIPS 2021: 8332-8344 - [i2]Richard Antonello, Javier Turek, Vy A. Vo, Alexander Huth:
Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain Responses. CoRR abs/2106.05426 (2021) - 2020
- [i1]Richard Antonello, Javier Turek, Alexander Huth:
Selecting Informative Contexts Improves Language Model Finetuning. CoRR abs/2005.00175 (2020)
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