Web Intelligence
Mining, understanding and personalizing the Web and its content, including language and conversational AI.
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Prompt Compression for Diffusion Large Language Models: An Empirical Evaluation of LLMLingua-2 and LLaDA
S Huang, A Brown, J Noh, J Xu, W Huo, KM Kyaw, JH Chan
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Lumina: Seasonal Color Analysis System with Explainable Machine Learning
NYP Ou, JH Chan
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Orthogonal Meta-learning Boosted Bayesian Optimization for Uncertain Multi-Objective Recommendation
H Wang, Y Du, Z Sun, L Zhang, T He, YS Ong. Cited by 1
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Towards Detecting Persuasion on Social Media: From Model Development to Insights on Persuasion Strategies
E Meguellati, S Civelli, P Bernardelle, SW Sadiq, I King, G Demartini. Cited by 1
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Generative Archetype-Grounded Item Representations for Sequential Recommendation
Y Li, J Liu, X Zhang, H Chen, Y Chen, W Yu, J Chen, I King. Cited by 1
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Information Fidelity in Tool-Using LLM Agents: A Martingale Analysis of the Model Context Protocol
FX Fan, C Tan, RP Wattenhofer, YS Ong
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Landscape-aware Automated Algorithm Design: An Efficient Framework for Real-world Optimization
H Yin, S Pan, Z Wei, JC Wong, YS Ong, AV Kononova, T Bäck, BV Stein
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Evolutionary Content Generation via Multimodal LLM-Based Fitness Evaluation
Y Hou, N Wang, Y Zhao-ping, DM Bossens, Y Wu, Q Zhang, YS Ong
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Extracting Multi-Destination Tourism Flows Using LLM-Driven Process Mining: A Case Study of Structural Shifts in Thai Domestic Travel via Social Media Group Before-, During-, and After COVID-19
S Chinwicha, W Krathu, C Nukoolkit, N Atiratana
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Forbid Your Attention: Fooling Multimodal Large Language Models by Selectively Removing Intrinsic Focus in Spectral Domain
D Liu, J Dong, Z Ma, X Qu, X Fang, R Guan, K Tang, J Dong, YS Ong
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From Natural Language to Optimization Models: A Survey of LLM-based Autoformulation
T Guo, Y Mei, Y Wu, CS Tan, HY Ng, YS Ong
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Evolving Jailbreaks: Automated Multi-Objective Long-Tail Attacks on Large Language Models
W Hong, Z Rong, L Wang, F Chang, J Zhu, K Tang, Z Zhu, YS Ong