Beyond static and linear: what attention constraints best fit human reading times?
Read the original at arxiv.org→arXiv:2608.23818v1 Announce Type: new Abstract: Transformer-based language models are widely used as models of human language processing, yet their attention mechanisms allow lossless access to the full preceding...
Original headline: "Beyond Static and Linear: What Attention Constraints Best Fit Human Reading Times?"
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- Aug 26, 04:00 UTC arXiv cs.CL lead source Beyond Static and Linear: What Attention Constraints Best Fit Human Reading Times?