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Publications

• Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!

• LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models

• Cheaply Evaluating Inference Efficiency Metrics for Autoregressive Transformer APIs

• Algorithmic Rulemaking v. Algorithmic Guidance

• Freedom of Speech and AI Output

Talks

• Panel: Principles of Responsible and Open Foundation Models

• Panel: Generative AI, Art and Ownership

• Self-Destructing Models: Increasing the Costs of Harmful Dual Uses in Foundation Models

• Panel: Liability Considerations in Enterprise Use of Generative AI

• The Benefits and Challenges of AI for Law and Government