🚀Awesome-Graph-LLM Check out this GitHub repo for a collection of AWESOME things about Graph-Related Large Language Models (LLMs): github.com/XiaoxinHe/Awes…

New paper w/ Xiaoxin He, T. Laurent, Bryan Hooi "Explanations as Features: LLM-Based Features for Text-Attributed Graphs" ArXiv: arxiv.org/pdf/2305.19523… GitHub: github.com/XiaoxinHe/TAPE

Thrilled to share paper on LLMs' calibration capability! "Can LLMs Express Their Uncertainty?" We explore confidence elicitation in LLM,revealing mitigation of LLMs' overconfidence. However,improvements are needed. Arxiv: arxiv.org/abs/2306.13063 #LLM #Calibration #Uncertainty

🚀 Excited to introduce MultiModal Graph Learning (MMGL) - exploring beyond the typical one-to-one data modality pairs🔗 to uncover more complex and multifaceted relationships among data modalities! 🌐 📄 Paper: arxiv.org/abs/2310.07478 🧵 Thread continues...

One of my favourite letters, insightful & humane, from Richard Feynman to a former student who was having a rough time I was reflecting on it as an argument in favour of scope insensitivity, or even in favour of smaller problems:

Delighted to announce that our work has been accepted for presentation at the ICLR 2024 LLM Agents Workshop@ICLR2024 workshop in Vienna. Received exceptionally positive feedback from the reviewers and looking forward to sharing our insights and contributions with the community.

𝑪𝒉𝒂𝒕 𝒘𝒊𝒕𝒉 𝒀𝒐𝒖𝒓 𝑮𝒓𝒂𝒑𝒉 🗣️ G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering ArXiv: arxiv.org/abs/2402.07630 GitHub: github.com/XiaoxinHe/G-Re… BlogPost: medium.com/@xxhe/graph-re…

🧬🤖 Introducing RNA-FrameFlow –– an unconditional generative model for 3D RNA backbone design! 📑: arxiv.org/abs/2406.13839 🧰: github.com/rish-16/rna-ba… Our method generates ≥ 40% self-consistent *all-atom* RNA backbones that are globally and locally realistic 💪🏻 1/9

Congrats, very well deserved!! Xiaoxin He is indeed an outstanding researcher and has done pioneering work in Graphs+LLMs: xiaoxinhe.github.io It's my privilege to advise her and other excellent students, and very glad to see her success being recognized!

🚀 Exciting News! Workshop on Reasoning and Planning for Large Language Models @ ICLR 2025 is coming 🌟 Please visit our official website: 👉 …shop-llm-reasoning-planning.github.io With the release of o1 Pro and the growing interest in research on reasoning and planning capabilities of LLMs,