Papers with feature removal
Speech language models lack important brain-relevant semantics (2024.acl-long)
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| Challenge: | Recent work shows that text-based language models predict both text- and speech-evoked brain activity. |
| Approach: | They remove low-level stimulus features from language models to assess their impact on alignment with fMRI brain recordings during reading and listening. |
| Outcome: | The proposed model removes low-level features from fMRI brain recordings to assess their impact on alignment with fmr recordings. |