🚀 New paper from our team at @servicenowresearch.bsky.social!⁣ ⁣ 💫𝐒𝐭𝐚𝐫𝐅𝐥𝐨𝐰: 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐧𝐠 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐝 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐎𝐮𝐭𝐩𝐮𝐭𝐬 𝐅𝐫𝐨𝐦 𝐒𝐤𝐞𝐭𝐜𝐡 𝐈𝐦𝐚𝐠𝐞𝐬⁣ We use VLMs to turn 𝘩𝘢𝘯𝘥-𝘥𝘳𝘢𝘸𝘯 𝘴𝘬𝘦𝘵𝘤𝘩𝘦𝘴 and diagrams into executable workflows 🖍️→⚙️⁣ ⁣ 🔗 arxiv.org/abs/2503.218... 📝 tinyurl.com/3utdbn97%E2%... #Sketch2Flow #AI #VLM

🚀 Excited to share our new work on making RAG actually work for enterprise applications! We present a recipe to build a custom retriever that handles multiple retrieval tasks simultaneously for domain-specific RAG applications 🧵

We’re really excited to release this large collaborative work for unifying web agent benchmarks under the same roof. In this TMLR paper, we dive in-depth into #BrowserGym and #AgentLab. We also present some unexpected performances from Claude 3.5-Sonnet

🎉 Excited to introduce BigDocs! An open, transparent multimodal dataset designed for: 📄 Documents 🌐 Web content 🖥️ GUI understanding 👨‍💻 Code generation from images We’re also launching BigDocs-Bench: ➡️ Document, Web, GUI Visual reasoning ➡️ Converting images into JSON, Markdown, LaTeX, SVG, and more!

Looking to build an LLM-powered app but finding it hard to make it robust? We’ve got you covered! Our new paper explores how Task Decomposition and Retrieval-Augmented Generation (RAG) can help you create reliable systems. 🧵👇