Xin Eric Wang
@xwang_lk • 21,933 subscribers
Professor @ucsantabarbara. Head of Research @SimularAI. Director @ucsbcrml @UCSB_AI. Build the Science of Multimodal AI Agents. AI for Humanity in the long run.
Videos
🚀 Introducing 𝐀𝐠𝐞𝐧𝐭 𝐒3, the most advanced computer-use agent, now 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡𝐢𝐧𝐠 𝐡𝐮𝐦𝐚𝐧-𝐥𝐞𝐯𝐞𝐥 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞🧠💻 Just one year ago, Agent S scored ~20% on OSWorld: SOTA then, but far from human 72%. Today, Agent S3 reaches 6̳9̳.̳9̳%̳ (⬆10% over prior SOTA), nearly matching humans on computer use. Few imagined this gap could close so fast, but with steady progress and 𝐟𝐢𝐫𝐬𝐭-𝐩𝐫𝐢𝐧𝐜𝐢𝐩𝐥𝐞 simplicity, Simular did it in just one year. 🧪 The s̵e̵c̵r̵e̵t̵ 𝐨𝐩𝐞𝐧 𝐫𝐞𝐜𝐢𝐩𝐞: → 𝐁𝐞𝐡𝐚𝐯𝐢𝐨𝐫 𝐁𝐞𝐬𝐭-𝐨𝐟-𝐍 — scaling agents 𝘵𝘩𝘦 𝘳𝘪𝘨𝘩𝘵 𝘸𝘢𝘺 → Simpler design, stronger baseline → 100% 𝐨𝐩𝐞𝐧 𝐬𝐨𝐮𝐫𝐜𝐞 (as always) Learn more at & 👇
Xin Eric Wang915,175 просмотров • 10 месяцев назад
It is just so sad that the #NeurIPS2024 main conference ended with such a racist remark by a faculty when talking about ethics. How ironic! I also want to commend the Chinese student who spoke up right on spot. She was respectful, decent, and courageous. Her response was exemplary: she began by acknowledging the speaker’s efforts, then gave the speaker an opportunity to clarify (though, regrettably, the speaker’s reply only reinforced her bias), and ultimately called attention to the inappropriate racial bias and offered constructive suggestions. Thank you for speaking out!
Xin Eric Wang374,436 просмотров • 1 год назад
Our paper “Learning Situated Awareness in the Real World” has been accepted to #ICML2026 as a Spotlight (top 2.2%)! Congrats to Chuhan Li ✈️ICML and the team! We introduce SAW-Bench, a real-world egocentric benchmark for evaluating situated (first-person) spatial reasoning in multimodal models, uncovering a large gap between humans and current systems. All videos recorded via Meta Ray-Ban 2 glasses!
Xin Eric Wang11,529 просмотров • 3 месяцев назад
🚀 𝐏𝐫𝐞𝐬𝐞𝐧𝐭𝐢𝐧𝐠 𝐚 𝐩𝐚𝐩𝐞𝐫 𝐢𝐬 𝐚𝐧 𝐚𝐫𝐭!🎤 🤔 Ever felt that most presentation tools lack flexibility and creativity? 𝘔𝘦𝘳𝘦𝘭𝘺 𝘦𝘹𝘵𝘳𝘢𝘤𝘵𝘪𝘯𝘨 𝘤𝘰𝘯𝘵𝘦𝘯𝘵, 𝘧𝘰𝘳𝘤𝘪𝘯𝘨 𝘳𝘪𝘨𝘪𝘥 𝘥𝘦𝘴𝘪𝘨𝘯𝘴, 𝘢𝘯𝘥 𝘥𝘦𝘮𝘢𝘯𝘥𝘪𝘯𝘨 𝘮𝘢𝘯𝘶𝘢𝘭 𝘵𝘸𝘦𝘢𝘬𝘴. 𝐄𝐯𝐨𝐏𝐫𝐞𝐬𝐞𝐧𝐭 changes all of that! ✨ EvoPresent is a self-optimizing framework that unites storytelling, design, and feedback to create effortless, engaging presentation videos. 🎥 💡 𝐊𝐞𝐲 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬: 💠 𝐏𝐫𝐞𝐬𝐀𝐞𝐬𝐭𝐡, the core multi-task RL model, continuously refines both content and design — ensuring slides that are impactful and visually captivating. 📊 𝐄𝐯𝐨𝐏𝐫𝐞𝐬𝐞𝐧𝐭 𝐁𝐞𝐧𝐜𝐡𝐦𝐚𝐫𝐤 is a comprehensive evaluation suite: 650+ top AI papers & diverse formats to assess content and design, and 2000+ slide pairs for aesthetic scoring, defect correction, and design comparison. 🎯 🧠 𝘏𝘪𝘨𝘩-𝘲𝘶𝘢𝘭𝘪𝘵𝘺 𝘧𝘦𝘦𝘥𝘣𝘢𝘤𝘬 𝘱𝘰𝘸𝘦𝘳𝘴 𝘤𝘰𝘯𝘵𝘪𝘯𝘶𝘰𝘶𝘴 𝘴𝘦𝘭𝘧-𝘪𝘮𝘱𝘳𝘰𝘷𝘦𝘮𝘦𝘯𝘵. ⚖️ 𝘉𝘢𝘭𝘢𝘯𝘤𝘦 𝘣𝘦𝘵𝘸𝘦𝘦𝘯 𝘤𝘰𝘯𝘵𝘦𝘯𝘵 & 𝘥𝘦𝘴𝘪𝘨𝘯 is the secret to presentation excellence. 🔁 𝐌𝐮𝐥𝐭𝐢-𝐭𝐚𝐬𝐤 𝐑𝐋 training boosts generalization in aesthetic awareness tasks. 𝐃𝐢𝐬𝐜𝐥𝐚𝐢𝐦𝐞𝐫: the demo video was completely generated by EvoPresent, no human refinement.
Xin Eric Wang18,226 просмотров • 10 месяцев назад
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