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Publication search results
found 254 matches
- 2024
- Wenjie Feng
, Li Wang, Bryan Hooi, See-Kiong Ng, Shenghua Liu:
Interrelated Dense Pattern Detection in Multilayer Networks. IEEE Trans. Knowl. Data Eng. 36(11): 6462-6476 (2024) - Mingzhe Du, Anh Tuan Luu, Bin Ji, See-Kiong Ng:
From Static to Dynamic: Knowledge Metabolism for Large Language Models. AAAI 2024: 23784-23786 - Bin Ji, Huijun Liu, Mingzhe Du, See-Kiong Ng:
Chain-of-Thought Improves Text Generation with Citations in Large Language Models. AAAI 2024: 18345-18353 - Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Khoi M. Le, Zhiyuan Hu, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu:
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling. AAAI 2024: 18824-18832 - Yang Deng, Xuan Zhang, Wenxuan Zhang, Yifei Yuan, See-Kiong Ng, Tat-Seng Chua:
On the Multi-turn Instruction Following for Conversational Web Agents. ACL (1) 2024: 8795-8812 - Haohao Luo, Yang Deng, Ying Shen, See-Kiong Ng, Tat-Seng Chua:
Chain-of-Exemplar: Enhancing Distractor Generation for Multimodal Educational Question Generation. ACL (1) 2024: 7978-7993 - Thong Nguyen, Yi Bin, Junbin Xiao, Leigang Qu, Yicong Li, Jay Zhangjie Wu, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu:
Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives. ACL (Findings) 2024: 3636-3657 - Guilherme Augusto Zagatti, See-Kiong Ng, Stéphane Bressan:
Learning multivariate temporal point processes via the time-change theorem. AISTATS 2024: 3241-3249 - Beng Heng Ang, Sujatha Das Gollapalli, See-Kiong Ng:
NUS-IDS@eRisk2024: Ranking Sentences for Depression Symptoms using Early Maladaptive Schemas and Ensembles. CLEF (Working Notes) 2024: 782-793 - Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Viktor Schlegel, Stefan Winkler, See-Kiong Ng, Soujanya Poria:
A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the CHATGPT Era and Beyond. EACL (1) 2024: 1738-1751 - Sujatha Das Gollapalli, Mingzhe Du, See-Kiong Ng:
Counseling Responses for Mental Health Forum Questions with Early Maladaptive Schema Prediction. ECAI 2024: 2556-2563 - Thong Nguyen, Yi Bin, Xiaobao Wu, Xinshuai Dong, Zhiyuan Hu, Khoi Le, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan:
Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning. ECCV (80) 2024: 77-98 - Yang Deng, Wenxuan Zhang, Wai Lam, See-Kiong Ng, Tat-Seng Chua:
Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents. ICLR 2024 - Gregory Kang Ruey Lau, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low:
PINNACLE: PINN Adaptive ColLocation and Experimental points selection. ICLR 2024 - Thong Thanh Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy T. Nguyen, See-Kiong Ng, Anh Tuan Luu:
Topic Modeling as Multi-Objective Contrastive Optimization. ICLR 2024 - Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low:
Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers. ICML 2024 - Xiaoqiang Lin, Xinyi Xu, Zhaoxuan Wu, See-Kiong Ng, Bryan Kian Hsiang Low:
Distributionally Robust Data Valuation. ICML 2024 - Jinyu Cai, Yunhe Zhang, Jicong Fan, See-Kiong Ng:
LG-FGAD: An Effective Federated Graph Anomaly Detection Framework. IJCAI 2024: 3760-3769 - Jialin Gao, Bill Ong, Darld Lwi, Zhen Hao Ng, Xun Wei Yee, Mun-Thye Mak, Wee Siong Ng, See-Kiong Ng, Hui Ying Teo, Victor Khoo, Georg Bökman, Johan Edstedt, Kirill Brodt, Clémentin Boittiaux, Maxime Ferrera, Stepan Konev:
From 2D to 3D: AISG-SLA Visual Localization Challenge. IJCAI 2024: 8661-8664 - Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua:
Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation. KDD 2024: 1816-1826 - Yi Bin, Junrong Liao, Yujuan Ding, Haoxuan Li, Yang Yang, See-Kiong Ng, Heng Tao Shen:
Leveraging Weak Cross-Modal Guidance for Coherence Modelling via Iterative Learning. ACM Multimedia 2024: 4630-4639 - Yi Bin, Wenhao Shi, Yujuan Ding, Zhiqiang Hu, Zheng Wang, Yang Yang, See-Kiong Ng, Heng Tao Shen:
GalleryGPT: Analyzing Paintings with Large Multimodal Models. ACM Multimedia 2024: 7734-7743 - Jinyu Cai, Yunhe Zhang, Zhoumin Lu, Wenzhong Guo, See-Kiong Ng:
Towards Effective Federated Graph Anomaly Detection via Self-boosted Knowledge Distillation. ACM Multimedia 2024: 5537-5546 - Naibo Wang, Yuchen Deng, Wenjie Feng, Shichen Fan, Jianwei Yin, See-Kiong Ng:
One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity. ACM Multimedia 2024: 5201-5210 - Brian Formento, Wenjie Feng, Chuan-Sheng Foo, Anh Tuan Luu, See-Kiong Ng:
SemRoDe: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks. NAACL-HLT 2024: 8005-8028 - Jinlan Fu, See-Kiong Ng, Zhengbao Jiang, Pengfei Liu:
GPTScore: Evaluate as You Desire. NAACL-HLT 2024: 6556-6576 - Zhiyuan Hu, Chumin Liu, Xidong Feng, Yilun Zhao, See-Kiong Ng, Anh Tuan Luu, Junxian He, Pang Wei Koh, Bryan Hooi:
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models. CoRR abs/2402.03271 (2024) - Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy T. Nguyen, See-Kiong Ng, Anh Tuan Luu:
Topic Modeling as Multi-Objective Contrastive Optimization. CoRR abs/2402.07577 (2024) - Mingzhe Du, Anh Tuan Luu, Bin Ji, See-Kiong Ng:
Mercury: An Efficiency Benchmark for LLM Code Synthesis. CoRR abs/2402.07844 (2024) - Jujia Zhao, Wenjie Wang, Chen Xu, Zhaochun Ren, See-Kiong Ng, Tat-Seng Chua:
LLM-based Federated Recommendation. CoRR abs/2402.09959 (2024)
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