Web Intelligence
Mining, understanding and personalizing the Web and its content, including language and conversational AI.
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Enhancing Biomedical Knowledge Retrieval-Augmented Generation with Self-Rewarding Tree Search and Proximal Policy Optimization
M Hu, L Zong, H Wang, J Zhou, J Li, Y Gao, KF Wong, Y Li, I King
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The Digital Ecosystem of Beliefs: does evolution favour AI over humans?
DM Bossens, S Feng, YS Ong. Cited by 1
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PrefAce: face-centric pretraining with self-structure aware distillation
S Hu, Z Wang, P Hu, X Peng, J Wu, H Zhu, YS Ong. Cited by 2
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Nile: Internal consistency alignment in large language models
M Hu, Q Zhang, Y Wang, B He, H Wang, J Zhou, L Li, Y Wang, C Ma, et al. Cited by 1
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Generative AI: How Well Can it Understand Conversational UX?
D Pal, S Sathapornvajana, S Funilkul. Cited by 2
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FL@ FM-TheWebConf'24: International Workshop on Federated Foundation Models for the Web
I King, G Long, Z Xu, H Yu. Cited by 1
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A Framework for Synthetic Audio Conversations Generation Using Large Language Models
KM Kyaw, JH Chan. Cited by 3
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Unified Denoising Training for Recommendation
H Chua, Y Du, Z Sun, Z Wang, J Zhang, YS Ong. Cited by 7
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Language Model Evolutionary Algorithms for Recommender Systems: Benchmarks and Algorithm Comparisons
J Liu, Z Sun, S Feng, C Chen, YS Ong. Cited by 2
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Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph Completion
M Li, C Yang, C Xu, X Jiang, Y Qi, J Guo, H Leung, I King. Cited by 9
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A Simple Yet Effective Approach for Diversified Session-Based Recommendation
Q Yin, H Fang, Z Sun, YS Ong. Cited by 3
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Less is more: Extreme gradient boost rank-1 adaption for efficient finetuning of llms
Y Zhang, H Zhu, A Liu, H Yu, P Koniusz, I King. Cited by 4