🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

1/4 🧵 A new research introduces AttrPrompt, a Language Model as Training Data Generator. This is a game-changer for Zero-Shot Learning, a paradigm that allows AI to understand tasks it's never seen before. 🚀 Yue Yu Quick Read: marktechpost.com/2023/07/02/a-n…

#KDD2023 If you care about uncertainty qualification and trustworthy AI, don't miss our tutorial tomorrow 1pm at Room 202A

"May the force be with you" at #NeurIPS2023! Interested in ML forcefield & MD simulation? Don't miss today's poster session 1 #1919. My student Rui will share our work on unified force-centric pre-training over 3D molecular conformations! arxiv.org/abs/2308.14759

Yuchen will present this work at today's poster session 1 #423. Don't miss out if you are at #NeurIPS2023

#NeurIPS2023 How can #LLMs generate synthetic data for training smaller models? Join Yue's Yue Yu poster session at NeurIPS2023 (Session 6) & find out more! arxiv.org/abs/2306.15895

Want smarter LLM agents? 🤖 Join Haotian's Haotian Sun poster on AdaPlanner tomorrow! 📅 It enables LLMs to think ahead & plan adaptively based on feedback. #NeurIPS2023 #LLMs #LLMagent arxiv.org/abs/2305.16653

Big thanks to Anthony Gitter for the nice summary of our #RECOMB2024 paper!

Having troubles with blind domain adaptation for GPTs through OpenAI or Azure 🤔? We are excited to introduce BBox-Adapter 🔌— Lightweight Adapting for Black-Box #LLMs📦. BBox-Adapter offers a transparent, privacy-conscious, and cost-effective solution for customizing

We recently explored if LLMs can be used to accelerate materials discovery. Instead of using LLMs to predict properties or generating new materials directly, we ask it to iteratively modify a starting material towards a given property target. Details here: arxiv.org/abs/2406.13163

🧵1/n LLMs significantly improve Evolutionary Algorithms for molecular discovery! For 18 different molecular optimization tasks, we demonstrate how to achieve SOTA performance by incorporating different LLMs! Learn more in our new paper! Website: molleo.github.io(w/ Code)

1/n Want to align your LLM with human objectives but lack the computing resources for fine-tuning?😭😭 We propose RE-Control, which aligns LLMs through representation editing (RE) from a control perspective!🤩🤩 Arxiv: arxiv.org/pdf/2406.05954 Code: github.com/Lingkai-Kong/R…

🎉 Congrats, Lingkai! 🎓 I am incredibly proud of your achievements and the impact you've made at GaTech CSE. Wishing you all the best as you embark on your exciting new journey. Keep soaring! 🚀 #ProudMentor

Introducing RankRAG, a novel RAG framework that instruction-tunes a single LLM for the dual purposes of top-k context ranking and answer generation in RAG. For context ranking, it performs exceptionally well by incorporating a small fraction of ranking data into the training

Happy to share RE-Control is accepted to #NeurIPS2024!

🔍 Reward modeling is a reasoning task—can self-generated CoT-style critiques help? 🚀 Check out my intern work at Llama Team AI at Meta, 3.7-7.3% gains on RewardBench vs. RM & LLM judge baselines, with better generalization & data efficiency! arxiv.org/abs/2411.16646 #rlhf #LLM

Aligning Large Language Models with Representation Editing: A Control Perspective. ⏰: Thursday, December 12 This is in collaboration with: Haorui Wang*, Wenhao Mu*,Yuanqi Du, Yuchen Zhuang, Yifei Zhou, Yue Song, Rongzhi Zhang, Kai Wang, Chao Zhang.

Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series Analysis ⏰: Friday, December 13 This is in collaboration with Haoxin Liu, Shangqing Xu, Zhiyuan (Leo) Zhao, Harsha Kamarthi, Aditya B. Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, PhD, Head of AI @ Squirrel AI, Chao Zhang, B. Aditya Prakash

Excited to present HYDRA 🐉 at #NeurIPS2024! 🚀 Our novel model-factorization framework combines personal behavior patterns 👤 with global knowledge 🌐 for truly personalized LLM generation. Achieves 9%+ gains over SOTA across 5 tasks 🏆 using personalized RAG. Learn more:

Day 1 of #NeurIPS2024 kicks off today! Check out the GT @ NeurIPS 2024 website 🔗👇 for a deep dive of Georgia Tech's 162+ researchers and their 84 papers being presented this week in Vancouver! sites.gatech.edu/research/neuri… Georgia Tech Computing Georgia Tech Research Georgia Tech School of Interactive Computing Georgia Tech School of Computer Science #NeurIPS

CSE's B. Aditya Prakash, Chao Zhang, and Xiuwei Zhang are among the 1⃣6⃣ #GTComputing faculty awarded promotion and tenure this year! Be sure to check out the full list in the story 👇, and join us in congratulating all our esteemed colleagues!🥳🎉 cc.gatech.edu/news/computing…