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Large Language Models and Transformers: Part 1 (FALL)

Alignment, Trust, Watermarking, and Copyright Issues in LLMs

Program
Special Year on Large Language Models and Transformers, Part 1
Location

Calvin lab auditorium

Date
Monday, Oct. 14 – Thursday, Oct. 17, 2024
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Private Retrieval-Augmented Generation

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Scalable Extraction of Training Data from (Production) Language Models

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Differentially private synthetic data for private LLM training

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A Sociotechnical Approach to A Safe, Responsible AI Future: A Path for Science‑ and Evidence‑based AI Policy

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Defense against prompt injection attacks

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Pluralistic Alignment: A Roadmap, Recent Work, and Open Problems

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Panel Discussion: AI Safety Regulation

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Interactive Proofs, Debate, and AI Safety

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Prover-Verifier Games Improve Legibility of LLM outputs

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Models that prove their own correctness

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    • Current Long-Term Visitors
    • Research Fellows
    • Postdoctoral Researchers
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    • Governance Board
    • Industry Advisory Council
    • Affiliated Faculty
    • Science Communicators in Residence
    • Law and Society Fellows
  • Participate
    • Apply to Participate
    • Plan Your Visit
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