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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Adapted MelBERT MIP-only reaches 0.7281 F1 on Chinese token-level metaphor detection, outperforming RoBERTa and Qwen QLoRA, with all artifacts released for reproducibility.
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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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A Reproducible Multi-Architecture Baseline for Token-Level Chinese Metaphor Identification under the MIPVU Framework
Adapted MelBERT MIP-only reaches 0.7281 F1 on Chinese token-level metaphor detection, outperforming RoBERTa and Qwen QLoRA, with all artifacts released for reproducibility.