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Paper: Neural decoding + Transformer + minimal pairs = new syntactic probing approach for LLMsMarch 31, 2024
MA student Linyang He leads a team that advances probing methods for large language models by combining a linear decoder with the BLiMP large-scale benchmark… Continue reading Paper: Neural decoding + Transformer + minimal pairs = new syntactic probing approach for LLMs
Dr. Tzu-yun Tung defends dissertation, on to Chicago!December 13, 2023
Many congratulations to Tzu-yun who has successfully defended her dissertation Prediction and Memory Retrieval during Dependency Resolution. The work combines electroencephalography, syntax, cognitive psychology and… Continue reading Dr. Tzu-yun Tung defends dissertation, on to Chicago!
Reproducing the Alice analysesNovember 19, 2023
One of our projects last summer was to go back into the archives and dig out the code used for data analyses in all our… Continue reading Reproducing the Alice analyses