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pyvene: A Library for Understanding and Improving PyTorch Models via Interventions.

, , , , , , , and . NAACL (Demonstrations), page 158-165. Association for Computational Linguistics, (2024)

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Attending to Emotional Narratives., , , , and . ACII, page 648-654. IEEE, (2019)DynaSent: A Dynamic Benchmark for Sentiment Analysis., , , and . CoRR, (2020)Causal Distillation for Language Models., , , , , , , and . NAACL-HLT, page 4288-4295. Association for Computational Linguistics, (2022)pyvene: A Library for Understanding and Improving PyTorch Models via Interventions., , , , , , , and . NAACL (Demonstrations), page 158-165. Association for Computational Linguistics, (2024)Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training., , , and . ACL (Findings), page 12163-12180. Association for Computational Linguistics, (2023)Disentangling Latent Emotions of Word Embeddings on Complex Emotional Narratives., and . NLPCC (2), volume 11839 of Lecture Notes in Computer Science, page 587-595. Springer, (2019)Modeling emotion in complex stories: the Stanford Emotional Narratives Dataset., , , , , , and . CoRR, (2019)Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis., and . AAAI, page 14094-14102. AAAI Press, (2021)Not Now, Ask Later: Users Weaken Their Behavior Change Regimen Over Time, But Expect To Re-Strengthen It Imminently., , and . CHI, page 229:1-229:14. ACM, (2021)ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time., , , , , , and . NeurIPS, (2022)