content.raw: 🔍 Today's pick in Interpretability & Analysis of LMs: From Understanding to Utilization: A Survey on Explainability for Large Language Models by H. Luo and L. Specia
content.type: text
content.value: 🔍 Today's pick in Interpretability & Analysis of LMs: From Understanding to Utilization: A Survey on Explainability for Large Language Models by H. Luo and L. Specia
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content.raw: This survey summarizes recent works in interpretability research, focusing mainly on pre-trained Transformer-based LMs. The authors categorize current approaches as either local or global and discuss popular applications of LM interpretability, such as model editing, enhancing model performance, and controlling LM generation.
content.type: text
content.value: This survey summarizes recent works in interpretability research, focusing mainly on pre-trained Transformer-based LMs. The authors categorize current approaches as either local or global and discuss popular applications of LM interpretability, such as model editing, enhancing model performance, and controlling LM generation.
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content.raw: 📄 Paper: 
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content.value: 📄 Paper: 
content.label: From Understanding to Utilization: A Survey on Explainability for Large
    Language Models (2401.12874)
content.raw: https://huggingface.co/papers/2401.12874
content.id: 2401.12874
content.type: paper
content.type: resource
content.url: https://huggingface.co/papers/2401.12874
rawContent: 🔍 Today's pick in Interpretability & Analysis of LMs: From Understanding to Utilization: A Survey on Explainability for Large Language Models by H. Luo and L. Specia
  
  This survey summarizes recent works in interpretability research, focusing mainly on pre-trained Transformer-based LMs. The authors categorize current approaches as either local or global and discuss popular applications of LM interpretability, such as model editing, enhancing model performance, and controlling LM generation.
  
  📄 Paper: https://huggingface.co/papers/2401.12874
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