Using Focal Loss to Fight Shallow Heuristics: An Empirical Analysis of Modulated Cross-Entropy in Natural Language Inference
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Updated
Feb 9, 2023 - Python
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mnli-dataset
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BERT and RoBERTa models fine-tuned on the MNLI dataset, optimized for binary entailment/non-entailment classification. Additionally, their performance is explored in handling figurative language.
nlp
idioms
pytorch
bert
multinli
nli
roberta
huggingface
bert-fine-tuning
huggingface-transformers
mnli-dataset
roberta-fine-tuning
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Updated
Apr 9, 2024 - Jupyter Notebook
Mitigating a language model's over-confidence with NLI predictions on Multi-NLI hypotheses with random word order using PAWS (paraphrase) and Winogrande (anaphora).
language-model
natural-language-inference
classification-model
paws
nli
roberta
huggingface
mnli-dataset
winogrande
roberta-base
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Updated
May 28, 2024 - Jupyter Notebook
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