🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

what do you teach at the first-year graduate course on machine learning, in this era of LLM and large-scale compute? here's my experiment on answering this question: let's teach everything that admits SGD and that is not LLM, and ask students to read old papers.

🎉 #ACL2025NLP 🎉 CoRAL Lab ASU School of Computing and Augmented Intelligence, ASU Ira A. Fulton Schools of Engineering has 4 papers accepted at ACL 2025! 🙌 All thanks 😊 🙏 and congratulations 🎉 🎊 to amazing students authors !! ✅ ACL-Main: 📌 GETReason – Enhancing Image Context Extraction through Hierarchical Multi-Agent

🎉 #ACL2025NLP – Cherry on Top! 🎉 In addition to our conference papers, we’re thrilled to share that CoRAL also got a demo paper accepted: PRAISE: Enhancing Product Descriptions with LLM-Driven Structured Insights - Adnan Qidwai, Srija Mukhopadhyay, Prerana Khatiwada,

This week in AI - Google Jules - Google Veo-3 - Google Flow AI - Gemini native audio - Gemma 3n on-device AI - Claude Sonnet 4 & Opus 4 - Anthropic Clode Code Agent - Mistral open-source Devstral - Microsoft GitHub Copilot agent Kepping up with AI news is 😂

We're thrilled to announce SignGemma, our most capable model for translating sign language into spoken text. 🧏 This open model is coming to the Gemma model family later this year, opening up new possibilities for inclusive tech. Share your feedback and interest in early

➡️ AAAI-26 Workshops: Call for Proposals ⬅️ The AAAI-26 Workshop co-chairs encourage the submission of proposals for interdisciplinary workshops. Proposals that focus on important or novel application domains for AI are also encouraged. bit.ly/4dAhJsp

🎓✨From "Namaste" to "Hello the American way," #SCAI Associate Professor Srividya Bansal brought the house(and hearts!) down at this year’s Arizona State University International Student Graduation Celebration with a speech as insightful as it was inspiring. See the speech: youtube.com/watch?v=6jh678…

Research isn’t always about chasing SOTA. It’s about understanding why things work (or don’t) and pushing the boundaries of our knowledge Negative results like this are still valuable and essential for the community Looking forward to the next banger!

📢 New paper on creativity & multi-token prediction! We design minimal open-ended tasks to argue: → LLMs are limited in creativity since they learn to predict the next token → creativity can be improved via multi-token learning & injecting noise ("seed-conditioning" 🌱) 1/ 🧵

What happens when you ✨scale up RL✨? In our new work, Prolonged RL, we significantly scale RL training to >2k steps and >130k problems—and observe exciting, non-saturating gains as we spend more compute 🚀.

🧙‍♂️ Imagine web agents that don’t just browse but handle your tedious digital chores! 📣 Our team developed WebChoreArena - 532 human-curated tasks, crafted over 300+ hours - Tests agents on massive information memorization, mathematical reasoning, and long-term memory -

🤔 What if you gave an LLM thousands of random human-written paragraphs and told it to write something new -- while copying 90% of its output from those texts? 🧟 You get what we call a Frankentext! 💡 Frankentexts are surprisingly coherent and tough for AI detectors to flag.

🔬 Introducing ChemMCP, the first MCP-compatible toolkit for empowering AI models with advanced chemistry capabilities! In recent years, we’ve seen rising interest in tool-using AI agents across domains. Particularly in scientific domains like chemistry, LLMs alone still fall

Jen Zhu Fascinating! Made you a 20 min deep dive podcast about this! Cracking the 3D Kakeya Conjecture: Prof. Wang's Groundbreaking Breakthrough, pathaka.ai/podcast/previe…

📈 Scaling may be hitting a wall in the digital world, but it's only beginning in the biological world! We trained a foundation model on 214M images of ~1M species (50% of named species on Earth 🐨🐠🌻🦠) and found emergent properties capturing hidden regularities in nature. 🧵

We are hiring Research Scientists for our Machine Learning and Optimization team at Google DeepMind Bangalore. If you're passionate about cutting-edge AI research and building efficient, elastic, customized, and safe LLMs, we'd love to hear from you. We are looking for

Do LLMs truly understand math proofs, or just guess? 🤔Our new study on #IneqMath dives deep into Olympiad-level inequality proofs & reveals a critical gap: LLMs are often good at finding answers, but struggle with rigorous, sound proofs. ➡️ ineqmath.github.io To tackle

Finally, A survey of Deep Research! This 95-page survey, from Zhejiang University, examines the rapidly evolving field of Deep Research systems—AI-powered applications that automate complex research workflows through the integration of large language models, advanced information

I’m looking for 4–5 emergency reviews over the next three days. Please DM me if you're available!