Megan Ma
@meganphma
Associate Director @CodeXStanford | PearX for AI Advisor @PearVC | Managing Editor @ law.mit.edu | PhD in Law, @ED_SciencesPo
ID: 1268261101956927488
https://law.stanford.edu/directory/megan-ma/ 03-06-2020 19:19:51
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We’re really excited to share two new benchmark datasets for measuring end-to-end legal RAG systems–forthcoming at CS&Law 2025 (links below). With: Lucia Zheng, Javokhir Arifov, Sarah Zhang, Michal Skreta, Christopher Manning, Peter Henderson, and Daniel E. Ho.
Can LLMs learn to reason better by "cheating"?🤯 Excited to introduce #cheatsheet: a dynamic memory module enabling LLMs to learn + reuse insights from tackling previous problems 🎯Claude3.5 23% ➡️ 50% AIME 2024 🎯GPT4o 10% ➡️ 99% on Game of 24 Great job Mirac Suzgun w/ awesome
In celebration of Stanford's Codex Center's CodeX Stanford's 20 year anniversary, Stanford Law School produced this retrospective video about the center's founding and work. I am grateful to Roland Vogl, Mike Genesereth, Megan Ma, and the rest of the amazing Community. cc:Colorado Law
SLS's CodeX Stanford published a recent article, "Rethinking Human – AI Agent Collaboration for the Knowledge Worker," on how generative AI tools impact the workforce. Read more here: stanford.io/3GdBWrl
Absolutely Interdisciplinary Panel Announcement: Navigating autonomy and accountability in AI agents Megan Ma, Atrisha Sarkar & moderator Anna Su ([email protected]) will examine the ethical, legal, & policy challenges of governing AI agents. Register: absolutelyinterdisciplinary.com
Had fun presenting at Harvard University's Kempner Institute at Harvard University on Theories of rapid learning, creativity, and reasoning: of mice and machines Video: youtube.com/watch?v=jLmK0l… Papers: Rapid learning: nature.com/articles/s4158… Creativity: arxiv.org/abs/2412.20292 Math reasoning: arxiv.org/abs/2502.07154
From experimentation to enterprise‑ready: How can companies build and use generative AI responsibly and at scale? A new white paper by Dr. Megan Ma (liftlab) and Jay Mandal (CodeX Stanford) offers an updated playbook for the next phase of AI: law.stanford.edu/publications/b…
Personally, Christopher Manning is such an inspiration and someone I have unfalteringly admired in the past 15 years or so of working in NLP. Imagine producing phd students who have, in their own right, become stars, repeatedly producing test-of-time science, being responsible for