🔥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

👏👏👏 Angel Rachael Sim Fan Jue Xiao Tian @asdasd266463941 Zhuanghua Liu Lin Xiaoqiang Xinyi Xu Wu Zhaoxuan Rui Qiao Dai Zhongxiang @ZCODE Hu.Wenyang patrick jaillet ICML Conference #ICML2024 #ShapleyValue #DataValuation #DataCentricAI #LLMs #BayesianOptimization #ExplainableAI

The #ICLR2024 ICLR 2026 work of Wu Zhaoxuan m.m.amiri Ramesh Raskar designs a local model reward scheme for #FederatedLearning that achieves a global incentivization objective with convergence guarantees. openreview.net/forum?id=FlY7W… Poster Session 7 May 10 Fri 10:45AM Halle B #179

The #ICLR2024 ICLR 2026 work of He Zhenfeng Dai Zhongxiang @ZCODE introduces RoBoT🤖 to robustify and boost training-free #NeuralArchitectureSearch. Join us @ Poster Session 6 May 9 Thu 4:30PM Halle B #250 Paper: openreview.net/pdf?id=qPloNoD… Code: github.com/hzf1174/RoBoT

The #ICLR2024 ICLR 2026 work of Sebastian Tay chuan-sheng et al. extends the distributionally robust #BayesianOptimization framework to unify several existing uncertainty objectives. Poster Session 6 May 9 Thu 4:30PM Halle B #16 openreview.net/forum?id=oMNkj… github.com/sebtsh/unified…

#PINNs, which incorporate #PDEs as soft constraints, are important for #AI4Science but notoriously hard to train esp. with limited collocations and experimental training points. The #ICLR2024 ICLR 2026 spotlight work of Gregory Lau Apivich H. (Kaotoo) see-kiong proposes PINNACLE 🏔️! (1/n)

Can we understand the current landscape of #DomainGeneralization better? In the #ICLR2024 ICLR 2026 work of Rui Qiao, we study the problem from a noise robustness perspective. #DistributionShifts #SpuriousCorrelations Poster Session 7 May 10 Fri 10:45AM Halle B #13 (1/n)

When optimizing prompt for #LLM, what if we don't have a score to evaluate performance of every prompt? The work of Lin Xiaoqiang Dai Zhongxiang Arun Verma see-kiong patrick jaillet achieves prompt optimization with human feedback (APOHF) only. arxiv.org/abs/2405.17346 #LLMs #RLHF (1/n)

GLOW.AI will be at ICML Conference #ICML2024: Xinyi Xu Wu Zhaoxuan Rachael Sim Rui Qiao Apivich H. (Kaotoo) Lin Xiaoqiang Angel Zhiliang Chen Zhuanghua Liu Gregory Lau Xinyuan. See u soon!

🚀 Visit the poster of Arun Verma Dai Zhongxiang Lin Xiaoqiang et al. on Neural Dueling #Bandits ICML Conference #ICML2024 Workshop on Foundations of RL and Control Connections and New Perspectives (27 Jul, rl-control-theory.github.io). Paper: openreview.net/pdf?id=Hh0b1Hl… (1/n)

Machine learning postdoc positions in my team in Helsinki, Finland, and Manchester, UK; DL September 15, 2024 Aalto University, Helsinki: aalto.fi/en/open-positi… University of Manchester, UK: jobs.manchester.ac.uk/Job/JobDetail?… Some more info about the team: kaski-lab.com

We have two open post-doc positions. You dont' have to be a Bayesian but somebody who is interested to work with at the intersection of DL, Bayes, and optimization. riken.jp/en/careers/res… Interest in understanding deep learning and continual lifelong learning is a plus!

The #EMNLP2024 EMNLP 2025 (findings) position paper of Xinyi Xu Wu Zhaoxuan Rui Qiao Arun Verma Pang Wei Koh et al. proposes a data-centric viewpoint of AI research, focusing on #LLM #LLMs. Check it out @ arxiv.org/abs/2406.14473

👏👏👏 Hu.Wenyang Wu Zhaoxuan @ZCODE Zhuanghua Liu Lin Xiaoqiang Xinyi Xu patrick jaillet Dai Zhongxiang qphong Zijian Zhou et al. Accepted NeurIPS Conference #NeurIPS2024: #DataValuation #DataCentricAI #LLM #BayesianOptimization #InContextLearning #PromptEngineering #ActiveLearning

1st NLP conference for GLOW.AI EMNLP 2025 #EMNLP2024: Gregory Lau Xinyuan! How different would it be from ICML Conference #ICML2024 NeurIPS Conference #NeurIPS2024? Better food? 😋 Interested to apply for faculty or PhD in AI NUS Computing, ping me on Whova to meet up.

👏👏👏 pham nguyen Rachael Sim qphong Zhiliang Chen Xinyuan Lin Xiaoqiang Xinyi Xu patrick jaillet Dai Zhongxiang Arun Verma Rui Qiao Wu Zhaoxuan Angel Pang Wei Koh Apivich H. (Kaotoo) Gregory Lau Bingchen Wang et al. Accepted ICLR 2026 #ICLR2025 AAAI #AAAI2025

🚀 Upcoming #AAAI2025! 🚀 How do we incentivize collaboration in machine learning without money 💸? Our work, Paid with Models, introduces an optimal contract design where models⚙️, not cash, serve as rewards—solving freeriding 🦦 and ✨democratizing✨ AI. Interested to know

GLOW.AI (comp.nus.edu.sg/~lowkh) will be ICLR 2026: Zhiliang Chen Xinyuan Arun Verma Rui Qiao Wu Zhaoxuan Angel Apivich H. (Kaotoo) Gregory Lau hieu zeyu. Surprisingly, this is my first time attending #ICLR2025 (there's always an undergrad ML course final

🚨🤔 How to efficiently learn from human preference feedback with latent non-linear reward function in an online setting? 💡🧠 The ICLR 2026 work of Arun Verma Dai Zhongxiang Lin Xiaoqiang patrick jaillet uses a neural network to estimate the unknown latent reward function from human

👏👏👏 Wu Zhaoxuan Zijian Zhou Arun Verma Daniela Rus lxy Angel zitong Dai Zhongxiang et al. GLOW.AI's first accepted papers ACL 2025 #ACL2025 #ACL2025NLP: #LLM #LLMs #AICopyright #DataCentricAI #Watermarking #SpeculativeDecoding #DataAttribution

Glad to share the blogpost on Singapore-MIT Alliance for Research & Technology Mens, Manus, and Machina (M3S)’ participation ICLR 2026 #ICLR2025: smart.mit.edu/post/m3s-prese… Kudos to the M3S researchers! Arun Verma Wu Zhaoxuan Rui Qiao Yunhan