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Excited to receive the #SoCalNLP Best Paper Award for our paper "Empowering Language Models with Knowledge Graph Reasoning for Question Answering". The paper link is: arxiv.org/abs/2211.08380 Thanks to the organizers and all the great collaborators!

UCLA Data Mining Lab (Yizhou Sun) will present three papers on topics including GNN explainability, graph imputation and fairness, and multi-task and OOD generalization at #NeurIPS2022 Please stop by our posters on Thu Dec 1st and talk to Shichang (Ray) Zhang Arjun (is no longer on this site) Ziniu Hu

I will present our paper on #GNN explainability later this morning. Our method builds up on a better game theory value than the Shapley value. You are welcome to our poster #338 in Hall J from 11 am to 1 pm CST to chat.

A wonderful week with Xavier Bresson and Petar Veličković visiting UCLA Data Mining lab. Inspiring talks on ViT/MLP-Mixer on Graphs and Algorithmic Reasoning. Interesting discussion on all perspectives of GNNs. Thank you for sharing your time and insights with us!

If you are at The Web Conference, don't forget to check our latest work on Taxonomy Expansion by Song Jiang @SongJia23015147 et al. (Tues May 02 2:40 PM – 3:00 PM room #104) and #GNN Explanation by Shichang Zhang Shichang (Ray) Zhang et al. (Wed May 03 10:20 AM – 10:30 AM room #104)

Our survey on #GraphNeuralNetwork acceleration is now on arXiv: arxiv.org/pdf/2306.14052…. We have consolidated #GNN acceleration algorithms, systems, and customized hardware. Any comments or questions are highly appreciated! Yizhou Sun Ziniu Hu Zijie Huang Efficient and Intelligent Computing Lab UCLA DM

🧸We introduce SCIBENCH, a challenging college-level scientific dataset designed to evaluate the reasoning abilities of current LLMs (#gpt4, #chatgpt). 🐻We find that no current prompting methods or external tools improves all capabilities. Github: github.com/mandyyyyii/sci…

Can LLMs play a hidden-identity board game "Renaissance Avalon"? Check out: arxiv.org/abs/2310.05036 Code: github.com/jonathanmli/Av… In this work, we built a game engine AvalonBench, consisting of several fixed rule baselines. We found ChatGPT 3.5 still cannot beat simple rules.

How to control LLM behavior with LLM-as-a-judge? Check our paper: "Self-Control of LLM Behaviors by Compressing Suffix Gradient into Prefix Controller" Website: llm-self-control.github.io Paper: arxiv.org/abs/2406.02721 Code: github.com/HenryCai11/LLM…

Thrilled to receive the KDD Dissertation Award Runner-Up, for my PhD works on Neural-Symbolic Reasoning. Sincerely thanks to my PhD advisors Yizhou Sun and Kai-Wei Chang, my letter supporters Yisong Yue and @jhamrick. Thanks to the award committee SIGKDD 2025 for such honor.

1 more day until the abstract deadline for our workshop at #NeurIPS2024 on AI, policy, and regulations: shorturl.at/79ow2. The full paper deadline is a few days after that. We look forward to receiving your submissions and seeing you at the workshop in Vancouver.

Join us at the #RegulatableML workshop at #NeurIPS2024 to learn about AI regulations and how to operationalize them in practice. 🗓️ Date: Dec 15, 2024 (East Meeting Room 13) 🕓 Time: 8:15 am - 5:30 pm 🔗 Details: regulatableml.github.io We have an exciting schedule: ⭐️ Six

It's happening today!!! We are also hosting a networking event from 5:00 - 5:30 PM. You don't want to miss the opportunity to network with this group and discuss the foundations of AI regulations for the coming years.

Super excited to share our latest preprint that unifies multiple areas within explainable AI that have been evolving somewhat independently: 1. Feature Attribution 2. Data Attribution 3. Model Component Attribution (aka Mechanistic Interpretability) arxiv.org/abs/2501.18887

Why is interpretability the key to dominance in AI? Not winning the scaling race, or banning China. Our answer to OSTP/NSF, w/ Goodfire's Tom McGrath Transluce's Sarah Schwettmann MIT's Dylan HadfieldMenell resilience.baulab.info/docs/AI_Action… Here's why:🧵 ↘️