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Researchers introduced the causal latent workspace Transformer, an anchored, four-round shared-depth architecture. The model achieves the best mean held-out perplexity in five of six settings against five Transformer controls across three byte-level corpora.
Source: arXiv cs.CL
https://arxiv.org/abs/2610.22796
#MachineLearning
Prompt injection can manipulate medical multi-agent systems into wrong decisions. A proposed training-free defense verifies clinical judgments behind system decisions.
Source: arXiv cs.CL
https://arxiv.org/abs/2610.22594
#MachineLearning
Researchers audited three decision models through interventions on their input using expert-annotated Bengali idioms. Dropping a literal gloss into the option list draws every arm toward it, taking 65% to 96% of remaining Bengali errors.
Source: arXiv cs.CL
https://arxiv.org/abs/2610.22526
#MachineLearning
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