Liam Liang Ding

@xieenze_jr Big congrats 🎉

Milestone alert 🎉 My first-authored paper SegFormer (NeurIPS 2021) just hit 10,000+ citations! This early ViT-based semantic segmentation project started as an internship work at NVIDIA back in 2020. We had a rocky submission journey—initial reviewer scores were underwhelming, and it took multiple rounds of rebuttal and revision to finally get it accepted. Six years later, watching it gain this much traction feels surreal. Fun bonus: I’m still at NVIDIA today, keeping the research fire burning. Grateful for every citation and all peer support. Onward and upward for more impactful work!

@bingyikang @amilabs @sainingxie @ylecun Congrats

Excited to finally share that I’m part of the founding team at @amilabs. After many detours along the way, it’s always been about intelligence. Grateful to be doing this with @sainingxie, @ylecun, and many old and new friends.

qwen is nothing without its people, best wishes for whatever happens next ❤️

@prajdabre lol exactly 😹

My Google coworker once said: You are in the wrong profession in Australia if you want to become rich. Tradies make a lot more than you can imagine.

@xuhaiya2483846 Great works! GUI is still an important I/O interface for human-machine👏

🔥Tongyi Lab releases Mobile-Agent-v3.5，20+SOTA GUI benchmarks: (1) GUI automation, 56.5OSWorld, 71.6AndroidWorld, and48.4WebArena; (2) Grounding, 80.3ScreenSpotPro; (3) tool-calling , 47.6OSWorld-MCP;(4) MemoryKnowledge, 75.5GUI-KnowledgeBench. 🌐Project:github.com/X-PLUG/MobileA…

@jungokasai nice product and can’t wait to try 🎉

Simultaneous translation has been a dream of mine since my PhD days in 2017, when I learned how to write papers. As a startup founder, I learned how to build great demos. Now I’m shipping models to our products within days, straight into users’ hands. What a time to live in!

Legally it acts as a liability shield, but strictly speaking it's a UX innovation. It bridges the gap and brings the tech closer to the average person.

Setting temperature = 0 ❄️🇮🇸

@MikaStars39 @huggingface Big congrats

The white dog is coming! Happy to share that we have released JoyAI-LLM Flash via JD OpenSource—a state-of-the-art instruction model based on the Mixture-of-Experts (MoE) architecture. Model weights are now available on @huggingface! 🤗Huggingface (instruct model): huggingface.co/jdopensource/J… 🤗Huggingface (base model): huggingface.co/jdopensource/J… The power of JoyAI-LLM Flash stems from deep innovations across the entire training pipeline: 1. Pre-training: Advanced MoE Architecture JoyAI-LLM Flash utilizes a sophisticated Mixture-of-Experts (MoE) architecture with 256 experts (8 selected per token) and MLA attention to achieve high-density knowledge representation across a 128K context window while maintaining extreme inference efficiency. 2. Mid-training: Domain-Specific Enhancement During mid-training, we curated and synthesized massive, high-quality datasets focusing on coding, agentic reasoning, and long-context understanding to significantly bolster the model's specialized capabilities. 3. Post-training: Expert Alignment The model undergoes large-scale SFT and DPO to ensure seamless alignment with complex human instructions and robust autonomous problem-solving in agentic environments. 4. Fiber Bundle RL: Introduces fiber bundle theory into reinforcement learning, proposing a novel optimization framework, FiberPO. This method is specifically designed to handle the challenges of large-scale and heterogeneous agent training, improving stability and robustness under complex data distributions. Deployment With MTP, we achieved a 1.3× to 1.7× throughput increase over standard versions, and the model is fully optimized for production-ready deployment via vLLM and SGLang. The technical report is coming soon!

Welcome to check out our recent reality checking work on whether Diffusion LLMs are suitable for agentic tasks.

@wangchunshu @dreamina_ai Congrats 🥂

Happy to share that I've joined the Dreamina team @dreamina_ai at Bytedance. It's fun to see many use cases of Seedance 2.0! Here is our official user guide bytedance.larkoffice.com/wiki/KWvewNoLG…. Let's share other fun use cases! Stay tuned for future updates on Seedream 5.0 and more #seedance2

Milan moments🇮🇹

@knccch @yangliu_nlp @MasahiroKaneko_ Congrats 🎉

Our paper won the best paper award in the AAAI 2026 AIA track ! Congratulations to my co-authors @yangliu_nlp and @MasahiroKaneko_! #AAAI2026

Congrats! If we say ChatGPT was a UX and HCI-driven research breakthrough, then Manus is absolutely an extremely optimized UX & HCI agentic product built on foundation models. A true testament to caring about users and real-world social value.

Thanks for sharing our work! 😊 🚀Our team has multiple openings: LLM Agent Algorithm Experts @ Alibaba Core Focus: 🔹 Agentic Post-training 🔹 Complex Tool-use, Planning & Deep Research 🔹 Synthetic Data & Reward Modeling 🔥 More details: liamding.cc/hiring.html #AIJobs #LLM #ReinforcementLearning #NLP #Alibaba #Hiring

such an amazing agentic model 👏

♊ has been my daily driver since 2.5 pro