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gemma-3

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Full fine-tune google/gemma-3-1b-it updated for Bangla news summarization on XL-Sum Bengali. chrF++ 24.91 against 22.78 zero-shot, ROUGE-L 11.43 against lead-3’s 10.34. Reported against both baselines, because a summarizer that cannot beat lead-3 is not summarizing.

  • Updated May 13, 2026
  • Python

Measures whether an LLM's self-reports agree with what its internals show. Injected concepts are perfectly recoverable by probes (AUC 1.000) and absent from the model's verbal report - report-state agreement fails in a graded way. Gemma-3-4B, Jacobian lens, ~3,750 trials.

  • Updated Aug 11, 2026
  • Python

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