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Join us at the First Workshop on the World Wide Voice Web at Stanford University on Nov 10. The research is sponsored by U.S. National Science Foundation, SloanPublic, Verdant Foundation, and Stanford HAI. #WWvW, #voicefirst

This Wednesday, Stanford OVAL hosts a workshop featuring the first "browser" to the World Wide Voice Web. Speakers include Yahoo co-founder Jerry Yang, Microsoft’s Xuedong Huang, and more. Register here: stanford.io/304pXqK

Dinner following first world wide Voice web live demo of open-source, privacy-preserving virtual assistant by ⁦⁦Stanford OVAL⁩ at ⁦Stanford HAI⁩ w ⁦Monica Lam⁩ ⁦Christopher Manning⁩ Tony Espinoza, Jimmy Garcia-Meza, ⁦Giovanni Campagna⁩ Sloan proud to support!

ICYMI: last month's World-Wide Voice Web workshop, which showcased Monica Lam's Sloan Foundation-supported work to build and pilot the first open-source, privacy preserving virtual assistant, is available to view online! youtube.com/watch?v=Uq2tov…

Getting ready to present the Genie voice assistant at Home Assistant 's State of the Open Home 2021. Come watch live at 11am PST (7pm UTC) at youtube.com/watch?v=6ZMXE5… #OpenSource #iot #voicefirst

. @stanford Genie assistant in action at the Home Assistant State of the Open Home 2021. Retweet to show your support for open voice assistants! And thanks to @nsf SloanPublic @stanfordhai Picovoice.ai Baidu Research youtu.be/6ZMXE5PXPqU?t=… (2:41:33)

Thanks to U.S. National Science Foundation SloanPublic Stanford HAI and Verdant Foundation for supporting this Stanford University research project and making this demo possible. Great job, neil souza Giovanni Campagna.

Two years in a row! The 1992 paper I wrote with Todd Mowry and Anoop Gupta, "Design and Evaluation of a Compiler Algorithm for Prefetching", received an ACM SiGARCH/SIGPLAN/SIGOPS ASPLOS Influential Paper Award 30 years later, just like last time! asplos-conference.org

We're at #acl2022. Come see our work "A Few-Shot Semantic Parser for Wizard-of-Oz Dialogues with the Precise ThingTalk Representation" (by Giovanni Campagna Sina Semnani Ryan Kearns, Lucas Sato, Silei Xu and Monica Lam ) - right now in the VPS2!

At @stanfordNLP, my students and I use LLMs to write full-length articles complete with correct references to trusted sources. Check out this post from the lead author, Yijia Shao. Thanks to Verdant Foundation, Microsoft Microsoft Azure, U.S. National Science Foundation, Sloan Foundation , and @stanfordhai.

Trending repository of the day 📈 storm by Stanford OVAL/ An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations. Last 24h: 958 ⭐ Total: 1900 ⭐️ github.com/stanford-oval/…

Introducing SUQL (Structured and Unstructured Query Language), a novel method to power assistants on hybrid data corpus. It combines SQL relational operators with free text primitives based on retrievers and LLMs, complete with key optimizations Code available on GitHub and PyPI

3 OVAL projects are awarded 2024-2025 Magic Grants! “African History from the Bottom Up with LLM-Augmented Agents”, Sina Semnani et al. “Cross-Lingual Multi-Perspective News”, Jialiang Xu et al. “DataTalk: All Documents and Data, All at Once, All Verified”, Shicheng Liu et al.

My first in-person conference at #NAACL2024 🇲🇽 @_Yucheng_Jiang and I will present STORM🌪️ 𝘁𝗼𝗱𝗮𝘆 𝗮𝘁 𝟮𝗣𝗠 (📍Don Diego 2,3,4).  Would love to chat about report generation, lessons learned in hosting the web demo, and share a bit of what we are cooking after STORM!

Our WikiChat paper received the @wikimedia Research Award of the Year 2024! Try WikiChat at oval.cs.stanford.edu, based on English, German, French, Spanish, Japanese, Russian, Portuguese, Italian, Chinese, Persian Wikipedias. Thanks to our sponsors Sloan Foundation & Microsoft Azure.

🚨 New preprint 🚨 Current task-oriented AI assistants often struggle with reliability, control, and integrating knowledge. Even OpenAI's customer service bot uses a dialog tree-based assistant. We set out to solve this!

Our Storm research project is reviewed in the Wikipedia research newsletter. Check it out.

🌱Excited to introduce SPINACH, a Knowledge Base Question Answering agent & dataset on Wikidata, presented at EMNLP 2024! It combines LLMs, semantic parsing and graph traversal to set a new SOTA & is actively used by the Wikidata community.

Democratizing AI-Assisted Access to Knowledge! The Stanford OVAL Lab is leading an initiative to create a public AI Assistant that democratizes access to the world's knowledge. Our pilot program, already embraced by over 400,000 users, generates Wikipedia-like articles through

The Stanford OVAL is on a mission to make knowledge accessible to all. Its new open-source public AI assistant aims to empower researchers, journalists, and historians. See how it works IRL on Feb. 14: bit.ly/3WFb5K3