LLM Reading Group (March 5, 19; April 2, 16, 30; May 14, 28; June 11)

Human Feedback Foundation provides human input to open source AI community. When AI became a new paradigm for modern software, human feedback has emerged as an essential element of the AI tech stack, and so the Human Feedback Foundation is here to build public input into AI models used in critical domains like healthcare, governance, and democracy, and act as an independent, third-party custodian to create a global database of human feedback – for there to be an authoritative and democratic source of human feedback data for AI builders everywhere.

Human Feedback Foundation

Come and meet some of the authors of some seminal papers in LLM/NLP research and hear them them talk about their work

This event grew out of a LinkedIn post Andrew Ng created, asking, "if we were to do a course on the seminal papers in LLMs, what would we read?" We collated the answers and created a Discord group for just this purpose -- and got a nonprofit going called the Human Feedback Foundation to make it easier to build human feedback and input into AI projects and models.Alternate Tuesdays starting March 5, 12:00 - 1:00 PM on ZoomRead the papers, join us for the talks listed below in the Agenda, and join us on Discord: <a href="https://discord.gg/urZj5vgV8h" title="https://discord.gg/urZj5vgV8h" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">https://discord.gg/urZj5vgV8h</a>March 5: <a href="https://arxiv.org/abs/2311.03658" title="https://arxiv.org/abs/2311.03658" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">The Linear Representation Hypothesis and the Geometry of Large Language Models</a>March 19: <a href="https://journals.sagepub.com/doi/10.1177/09636625231219853" title="https://journals.sagepub.com/doi/10.1177/09636625231219853" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Who Are the Publics Engaging in AI?</a>April 2: <a href="https://arxiv.org/abs/2401.01301" title="https://arxiv.org/abs/2401.01301" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models</a>April 16: <a href="https://arxiv.org/abs/2402.06619" title="https://arxiv.org/abs/2402.06619" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning</a>April 30: <a href="https://arxiv.org/abs/2402.05863" title="https://arxiv.org/abs/2402.05863" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">How Well Can LLMs Negotiate? Negotiation Arena Platform and Analysis</a>May 14: <a href="https://arxiv.org/abs/2307.07411" title="https://arxiv.org/abs/2307.07411" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Detecting LLM Generated Text in Computing Education: A Comparative Study for ChatGPT Cases</a>May 28: <a href="https://arxiv.org/pdf/2403.10704.pdf" title="https://arxiv.org/pdf/2403.10704.pdf" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">PERL: Parameter Efficient Reinforcement Learning from Human Feedback</a>June 11: <a href="https://arxiv.org/pdf/2404.01413.pdf" title="https://arxiv.org/pdf/2404.01413.pdf" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data</a>.

Agenda

March 5: The Linear Representation Hypothesis and the Geometry of LLMs 

March 19: Who Are the Publics Engaging in AI?

April 2: Large Legal Fictions: Profiling Legal Hallucinations in LLMs

April 16: Aya Dataset: An Open-Access Collection for Multilingual Instruction

April 30: How Well Can LLMs Negotiate? Negotiation Arena Platform and Analysis

May 14: Detecting LLM Generated Text in Computing Education

May 28: Parameter Efficient Reinforcement Learning from Human Feedback (PERL)

June 11: Is Model Collapse Inevitable? Breaking the Curse of Recursion 

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LLM Reading Group (March 5, 19; April 2, 16, 30; May 14, 28; June 11)

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LLM Reading Group (March 5, 19; April 2, 16, 30; May 14, 28; June 11)

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