Scaling laws for language encoding models in fMRI

19 May 2023

Papers citing "Scaling laws for language encoding models in fMRI"

33 / 33 papers shown

Title
Whisper-LM: Improving ASR Models with Language Models for Low-Resource Languages Xabier de Zuazo Eva Navas Ibon Saratxaga Inma Hernáez Rioja 37 0 0 30 Mar 2025
Brain Effective Connectivity Estimation via Fourier Spatiotemporal Attention Wen Xiong Jinduo Liu Junzhong Ji Fenglong Ma 47 0 0 14 Mar 2025
Triple Phase Transitions: Understanding the Learning Dynamics of Large Language Models from a Neuroscience Perspective Yuko Nakagi Keigo Tada Sota Yoshino Shinji Nishimoto Yu Takagi LRM 37 0 0 28 Feb 2025
LaVCa: LLM-assisted Visual Cortex Captioning Takuya Matsuyama Shinji Nishimoto Yu Takagi 45 0 0 20 Feb 2025
BrainWavLM: Fine-tuning Speech Representations with Brain Responses to Language Nishitha Vattikonda A. Vaidya Richard Antonello Alexander G. Huth 96 0 0 13 Feb 2025
Scaling laws for decoding images from brain activity Hubert J. Banville Yohann Benchetrit Stéphane DÁscoli Jérémy Rapin J. King MedIm 44 0 0 25 Jan 2025
Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey) S. Oota Zijiao Chen Manish Gupta R. Bapi G. Jobard F. Alexandre X. Hinaut 3DV AI4CE 37 10 0 31 Dec 2024
Interpretable Language Modeling via Induction-head Ngram Models Eunji Kim Sriya Mantena Weiwei Yang Chandan Singh Sungroh Yoon Jianfeng Gao 40 0 0 31 Oct 2024
Brain-like Functional Organization within Large Language Models Haiyang Sun Lin Zhao Zihao Wu Xiaohui Gao Yutao Hu Mengfei Zuo W. Zhang Junwei Han Tianming Liu X. Hu 22 0 0 25 Oct 2024
Improving Semantic Understanding in Speech Language Models via Brain-tuning Omer Moussa Dietrich Klakow Mariya Toneva 31 3 0 11 Oct 2024
Generative causal testing to bridge data-driven models and scientific theories in language neuroscience Richard Antonello Chandan Singh Shailee Jain Aliyah R. Hsu Jianfeng Gao Jianfeng Gao Alexander G. Huth Alexander Huth 16 1 0 01 Oct 2024
Evidence from fMRI Supports a Two-Phase Abstraction Process in Language Models Emily Cheng Richard Antonello 72 4 0 09 Sep 2024
Multilevel Interpretability Of Artificial Neural Networks: Leveraging Framework And Methods From Neuroscience Zhonghao He Jascha Achterberg Katie Collins Kevin K. Nejad Danyal Akarca ... Chole Li Kai J. Sandbrink Stephen Casper Anna Ivanova Grace W. Lindsay AI4CE 23 1 0 22 Aug 2024
Decoding Linguistic Representations of Human Brain Yu Wang Heyang Liu Yuhao Wang Chuan Xuan Yixuan Hou Sheng Feng Hongcheng Liu Yusheng Liao Yanfeng Wang AI4CE 21 1 0 30 Jul 2024
R&B -- Rhythm and Brain: Cross-subject Decoding of Music from Human Brain Activity Matteo Ferrante Matteo Ciferri N. Toschi 13 1 0 21 Jun 2024
Brain-Like Language Processing via a Shallow Untrained Multihead Attention Network Badr AlKhamissi Greta Tuckute Antoine Bosselut Martin Schrimpf 64 6 0 21 Jun 2024
EEG-ImageNet: An Electroencephalogram Dataset and Benchmarks with Image Visual Stimuli of Multi-Granularity Labels Shuqi Zhu Ziyi Ye Qingyao Ai Yiqun Liu 18 2 0 11 Jun 2024
What Are Large Language Models Mapping to in the Brain? A Case Against Over-Reliance on Brain Scores Ebrahim Feghhi Nima Hadidi Bryan Song I. Blank Jonathan C. Kao 41 3 0 03 Jun 2024
fMRI predictors based on language models of increasing complexity recover brain left lateralization Laurent Bonnasse-Gahot Christophe Pallier 31 3 0 28 May 2024
Crafting Interpretable Embeddings by Asking LLMs Questions Vinamra Benara Chandan Singh John X. Morris Richard Antonello Ion Stoica Alexander G. Huth Jianfeng Gao 19 5 0 26 May 2024
Linking In-context Learning in Transformers to Human Episodic Memory Ji-An Li Corey Y. Zhou M. Benna Marcelo G. Mattar 32 3 0 23 May 2024
How Many Bytes Can You Take Out Of Brain-To-Text Decoding? Richard Antonello Nihita Sarma Jerry Tang Jiaru Song Alexander G. Huth 22 1 0 22 May 2024
Measuring Meaning Composition in the Human Brain with Composition Scores from Large Language Models Changjiang Gao Jixing Li Jiajun Chen Shujian Huang 15 1 0 07 Mar 2024
Contextual Feature Extraction Hierarchies Converge in Large Language Models and the Brain Gavin Mischler Yinghao Aaron Li Stephan Bickel A. Mehta N. Mesgarani 12 23 0 31 Jan 2024
Instruction-tuning Aligns LLMs to the Human Brain Khai Loong Aw Syrielle Montariol Badr AlKhamissi Martin Schrimpf Antoine Bosselut 15 18 0 01 Dec 2023
Causal Graph in Language Model Rediscovers Cortical Hierarchy in Human Narrative Processing Zhengqi He Taro Toyoizumi MILM 8 0 0 17 Nov 2023
Applicability of scaling laws to vision encoding models Takuya Matsuyama K. Sasaki Shinji Nishimoto MedIm 6 4 0 01 Aug 2023
Through their eyes: multi-subject Brain Decoding with simple alignment techniques Matteo Ferrante T. Boccato N. Toschi 11 14 0 01 Aug 2023
Turning large language models into cognitive models Marcel Binz Eric Schulz 28 52 0 06 Jun 2023
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 2,712 0 24 May 2022
Inductive biases, pretraining and fine-tuning jointly account for brain responses to speech Juliette Millet J. King 40 33 0 25 Feb 2021
A Survey on Contextual Embeddings Qi Liu Matt J. Kusner Phil Blunsom 206 146 0 16 Mar 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 4,424 0 23 Jan 2020