The goal of TokenSHAP is to produce a "Feature Importance" measure for prompts. This will help understand which parts of the prompt are most influential in shaping the response of a large language model (LLM)

TokenSHAP: Interpreting Large Language Models with Monte Carlo Shapley Value Estimation

NLP4DH explores the intersection of NLP and digital humanities, focusing on the application of NLP techniques to analyze cultural, historical, and social data. The workshop covers text mining, sentiment analysis, and computational analysis of literature. [Read more](https://www.nlp4dh.com/nlp4dh-2024)

W12: The 4th International Conference on Natural Language Processing for Digital Humanities (NLP4DH)

## Welcome to EMNLP 2024! 
We are excited to welcome you to one of the most prominent conferences in the field of Natural Language Processing. This year, EMNLP 2024 is being held in a hybrid format,
offering both virtual and in-person participation in beautiful Miami. Due to a record-breaking number of submissions, we've expanded the total number of accepted papers to accommodate more cutting-edge research from around the globe.
### [Conference Handbook](https://drive.google.com/file/d/1WPROgxjLAC96AJL7Ugy0tEnYm7dkrbHt/view?usp=sharing)

You are required to register for this event. **Please register [here](https://2024.emnlp.org/registration/).** The EMNLP 2024 event page on Underline will be open to public one week prior to the event.

Please register!

EMNLP 2024

EMNLP 2024 will take place in Miami, Florida from Nov 12th to Nov 16th, 2024, at the Hyatt Regency Miami Hote and on Underline for remote participants.

Roni Goldshmidt

1

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TokenSHAP: Interpreting Large Language Models with Monte Carlo Shapley Value Estimation

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