UCLA DM
@UCLA_DM
UCLA Data Mining Lab. PI: @YizhouSun
💃TANGO won the best paper award at the #DLDE workshop at #Neurips 2023! We propose a time-reversal regularization term that not only has physical implications on benefiting reversible/conservative systems but also numerically benefits irreversible systems in general.
🧐 Can neural simulators softly satisfy multiple physical constraints? Check out: arxiv.org/abs/2310.06427 We propose TANGO, a physics-informed GraphODE that injects time-reversal symmetry and in the meanwhile numerically benefits various dynamical systems.
🧐 Can neural simulators softly satisfy multiple physical constraints? Check out: arxiv.org/abs/2310.06427 We propose TANGO, a physics-informed GraphODE that injects time-reversal symmetry and in the meanwhile numerically benefits various dynamical systems.
🧸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…
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models paper page: huggingface.co/papers/2307.10… Recent advances in large language models (LLMs) have demonstrated notable progress on many mathematical benchmarks. However, most of these…
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models paper page: huggingface.co/papers/2307.10… Recent advances in large language models (LLMs) have demonstrated notable progress on many mathematical benchmarks. However, most of these…
A wonderful week with @xbresson and @PetarV_93 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!
UCLA Data Mining Lab (@YizhouSun) 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 @ShichangZhang @arjunsubgraph @acbuller
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!
Our @MegagonLabs Best Paper Award winner was "Empowering Language Models with Knowledge Graph Reasoning for Question Answering" by Ziniu Hu et al from UCLA! Paper link: arxiv.org/abs/2211.08380 Thank you to award sponsor @MegagonLabs for supporting our event! (4/4)