Saved in:
| Main Authors: | Vattikonda, Nishitha, Vaidya, Aditya R., Antonello, Richard J., Huth, Alexander G. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.08866 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fine-tuning language encoding models on slow fMRI improves prediction for fast ECoG
by: Vaidya, Aditya R., et al.
Published: (2026)
by: Vaidya, Aditya R., et al.
Published: (2026)
Abstraction Induces the Brain Alignment of Language and Speech Models
by: Cheng, Emily, et al.
Published: (2026)
by: Cheng, Emily, et al.
Published: (2026)
Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain Responses
by: Antonello, Richard, et al.
Published: (2021)
by: Antonello, Richard, et al.
Published: (2021)
Scaling laws for language encoding models in fMRI
by: Antonello, Richard, et al.
Published: (2023)
by: Antonello, Richard, et al.
Published: (2023)
How Many Bytes Can You Take Out Of Brain-To-Text Decoding?
by: Antonello, Richard, et al.
Published: (2024)
by: Antonello, Richard, et al.
Published: (2024)
WavSLM: Single-Stream Speech Language Modeling via WavLM Distillation
by: Della Libera, Luca, et al.
Published: (2026)
by: Della Libera, Luca, et al.
Published: (2026)
Demographic Attributes Prediction from Speech Using WavLM Embeddings
by: Yang, Yuchen, et al.
Published: (2025)
by: Yang, Yuchen, et al.
Published: (2025)
Brain-tuning Improves Generalizability and Efficiency of Brain Alignment in Speech Models
by: Moussa, Omer, et al.
Published: (2025)
by: Moussa, Omer, et al.
Published: (2025)
Brain-tuned Speech Models Better Reflect Speech Processing Stages in the Brain
by: Moussa, Omer, et al.
Published: (2025)
by: Moussa, Omer, et al.
Published: (2025)
Improving Semantic Understanding in Speech Language Models via Brain-tuning
by: Moussa, Omer, et al.
Published: (2024)
by: Moussa, Omer, et al.
Published: (2024)
UniWav: Towards Unified Pre-training for Speech Representation Learning and Generation
by: Liu, Alexander H., et al.
Published: (2025)
by: Liu, Alexander H., et al.
Published: (2025)
JudgeLM: Fine-tuned Large Language Models are Scalable Judges
by: Zhu, Lianghui, et al.
Published: (2023)
by: Zhu, Lianghui, et al.
Published: (2023)
Normalization through Fine-tuning: Understanding Wav2vec 2.0 Embeddings for Phonetic Analysis
by: Wang, Yiming, et al.
Published: (2025)
by: Wang, Yiming, et al.
Published: (2025)
Wav2Gloss: Generating Interlinear Glossed Text from Speech
by: He, Taiqi, et al.
Published: (2024)
by: He, Taiqi, et al.
Published: (2024)
The Echoes of Multilinguality: Tracing Cultural Value Shifts during LM Fine-tuning
by: Choenni, Rochelle, et al.
Published: (2024)
by: Choenni, Rochelle, et al.
Published: (2024)
Far from the Shallow: Brain-Predictive Reasoning Embedding through Residual Disentanglement
by: He, Linyang, et al.
Published: (2025)
by: He, Linyang, et al.
Published: (2025)
Instruction-tuning Aligns LLMs to the Human Brain
by: Aw, Khai Loong, et al.
Published: (2023)
by: Aw, Khai Loong, et al.
Published: (2023)
Position-invariant Fine-tuning of Speech Enhancement Models with Self-supervised Speech Representations
by: Meghanani, Amit, et al.
Published: (2026)
by: Meghanani, Amit, et al.
Published: (2026)
Investigating the Representation of Backchannels and Fillers in Fine-tuned Language Models
by: Wang, Yu, et al.
Published: (2025)
by: Wang, Yu, et al.
Published: (2025)
Generative causal testing to bridge data-driven models and scientific theories in language neuroscience
by: Antonello, Richard, et al.
Published: (2024)
by: Antonello, Richard, et al.
Published: (2024)
Crafting Interpretable Embeddings by Asking LLMs Questions
by: Benara, Vinamra, et al.
Published: (2024)
by: Benara, Vinamra, et al.
Published: (2024)
Speaker Diarization for Low-Resource Languages Through Wav2vec Fine-Tuning
by: Abdullah, Abdulhady Abas, et al.
Published: (2025)
by: Abdullah, Abdulhady Abas, et al.
Published: (2025)
WavLLM: Towards Robust and Adaptive Speech Large Language Model
by: Hu, Shujie, et al.
Published: (2024)
by: Hu, Shujie, et al.
Published: (2024)
BAMBINO-LM: (Bilingual-)Human-Inspired Continual Pretraining of BabyLM
by: Shen, Zhewen, et al.
Published: (2024)
by: Shen, Zhewen, et al.
Published: (2024)
KALE-LM-Chem: Vision and Practice Toward an AI Brain for Chemistry
by: Dai, Weichen, et al.
Published: (2024)
by: Dai, Weichen, et al.
Published: (2024)
WavCube: Unifying Speech Representation for Understanding and Generation via Semantic-Acoustic Joint Modeling
by: Yang, Guanrou, et al.
Published: (2026)
by: Yang, Guanrou, et al.
Published: (2026)
Evidence from fMRI Supports a Two-Phase Abstraction Process in Language Models
by: Cheng, Emily, et al.
Published: (2024)
by: Cheng, Emily, et al.
Published: (2024)
Rubric-Guided Fine-tuning of SpeechLLMs for Multi-Aspect, Multi-Rater L2 Reading-Speech Assessment
by: Parikh, Aditya Kamlesh, et al.
Published: (2026)
by: Parikh, Aditya Kamlesh, et al.
Published: (2026)
Multistage Fine-tuning Strategies for Automatic Speech Recognition in Low-resource Languages
by: Pillai, Leena G, et al.
Published: (2024)
by: Pillai, Leena G, et al.
Published: (2024)
Compositional Subspace Representation Fine-tuning for Adaptive Large Language Models
by: Zhou, Andy
Published: (2025)
by: Zhou, Andy
Published: (2025)
Bangla Hate Speech Classification with Fine-tuned Transformer Models
by: Jafari, Yalda Keivan, et al.
Published: (2025)
by: Jafari, Yalda Keivan, et al.
Published: (2025)
ESPnet-SpeechLM: An Open Speech Language Model Toolkit
by: Tian, Jinchuan, et al.
Published: (2025)
by: Tian, Jinchuan, et al.
Published: (2025)
LoFiT: Localized Fine-tuning on LLM Representations
by: Yin, Fangcong, et al.
Published: (2024)
by: Yin, Fangcong, et al.
Published: (2024)
BrainLLM: Generative Language Decoding from Brain Recordings
by: Ye, Ziyi, et al.
Published: (2023)
by: Ye, Ziyi, et al.
Published: (2023)
Explanations of Large Language Models Explain Language Representations in the Brain
by: Rahimi, Maryam, et al.
Published: (2025)
by: Rahimi, Maryam, et al.
Published: (2025)
Overview of the 2023 ICON Shared Task on Gendered Abuse Detection in Indic Languages
by: Vaidya, Aatman, et al.
Published: (2024)
by: Vaidya, Aatman, et al.
Published: (2024)
LegiLM: A Fine-Tuned Legal Language Model for Data Compliance
by: Zhu, Linkai, et al.
Published: (2024)
by: Zhu, Linkai, et al.
Published: (2024)
Pretraining Large Brain Language Model for Active BCI: Silent Speech
by: Zhou, Jinzhao, et al.
Published: (2025)
by: Zhou, Jinzhao, et al.
Published: (2025)
PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment
by: Liu, Zequan, et al.
Published: (2025)
by: Liu, Zequan, et al.
Published: (2025)
Brain-CLIPLM: Decoding Compressed Semantic Representations in EEG for Language Reconstruction
by: Yang, Xiaoli, et al.
Published: (2026)
by: Yang, Xiaoli, et al.
Published: (2026)
Similar Items
-
Fine-tuning language encoding models on slow fMRI improves prediction for fast ECoG
by: Vaidya, Aditya R., et al.
Published: (2026) -
Abstraction Induces the Brain Alignment of Language and Speech Models
by: Cheng, Emily, et al.
Published: (2026) -
Low-Dimensional Structure in the Space of Language Representations is Reflected in Brain Responses
by: Antonello, Richard, et al.
Published: (2021) -
Scaling laws for language encoding models in fMRI
by: Antonello, Richard, et al.
Published: (2023) -
How Many Bytes Can You Take Out Of Brain-To-Text Decoding?
by: Antonello, Richard, et al.
Published: (2024)