BLOOM is a 176B-parameter open-access multilingual language model trained on the ROOTS corpus that achieves competitive performance on benchmarks, with improved results after multitask prompted finetuning.
Entities, dates, and languages: Zero-shot on historical texts with t0
2 Pith papers cite this work. Polarity classification is still indexing.
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Reasoning models detect modifications to their chains of thought with only modest accuracy and cannot reliably identify the nature of those modifications.
citing papers explorer
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BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
BLOOM is a 176B-parameter open-access multilingual language model trained on the ROOTS corpus that achieves competitive performance on benchmarks, with improved results after multitask prompted finetuning.
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Can Reasoning Models Detect Changes to their Chains of Thought?
Reasoning models detect modifications to their chains of thought with only modest accuracy and cannot reliably identify the nature of those modifications.