š Exciting Opportunity for the Theoretical Computer Science Community!
This year, the STOC program committee is pioneering an innovative experiment utilizing Large Language Models (LLMs) to enhance the quality of submissions. Hereās what you need to know:
- Automated Feedback: Authors can opt to receive automated, pre-submission feedback from a unique Gemini-based LLM designed to critique mathematical rigor.
- Opt-In Participation: This service is completely optionalāyour choice, your benefit!
- Privacy Matters: All submissions are confidential; your work will not be logged or used for further training.
- Focus on Rigor: While the tool aims to clarify and improve your arguments, note that it may not cover niche area-specific knowledge.
š Important Deadline: Opt-in by November 1 at 5 PM EST to take advantage of this resource!
Join us to refine your submissions and contribute to future advancements in theoretical computer science. Get involved and share this post to spread the word! š
