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2020 – today
- 2024
[c126]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- [c125]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 - [c124]Mingzhe Du, Anh Tuan Luu, Bin Ji, See-Kiong Ng:
From Static to Dynamic: Knowledge Metabolism for Large Language Models. AAAI 2024: 23784-23786 - [c123]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 - [c122]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 - [c121]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 - [c120]Guilherme Augusto Zagatti, See-Kiong Ng, Stéphane Bressan:
Learning multivariate temporal point processes via the time-change theorem. AISTATS 2024: 3241-3249 - [c119]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 - [c118]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 - [c117]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 - [c116]Gregory Kang Ruey Lau, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low:
PINNACLE: PINN Adaptive ColLocation and Experimental points selection. ICLR 2024 - [c115]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 - [c114]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 - [c113]Xiaoqiang Lin, Xinyi Xu, Zhaoxuan Wu, See-Kiong Ng, Bryan Kian Hsiang Low:
Distributionally Robust Data Valuation. ICML 2024 - [c112]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 - [c111]Jinlan Fu, See-Kiong Ng, Zhengbao Jiang, Pengfei Liu:
GPTScore: Evaluate as You Desire. NAACL-HLT 2024: 6556-6576 - [c110]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 - [i68]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) - [i67]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) - [i66]Mingzhe Du, Anh Tuan Luu, Bin Ji, See-Kiong Ng:
Mercury: An Efficiency Benchmark for LLM Code Synthesis. CoRR abs/2402.07844 (2024) - [i65]Jujia Zhao, Wenjie Wang, Chen Xu, Zhaochun Ren, See-Kiong Ng, Tat-Seng Chua:
LLM-based Federated Recommendation. CoRR abs/2402.09959 (2024) - [i64]Jinlan Fu, Shenzhen Huangfu, Hang Yan, See-Kiong Ng, Xipeng Qiu:
Hint-before-Solving Prompting: Guiding LLMs to Effectively Utilize Encoded Knowledge. CoRR abs/2402.14310 (2024) - [i63]Yang Deng, Xuan Zhang, Wenxuan Zhang, Yifei Yuan, See-Kiong Ng, Tat-Seng Chua:
On the Multi-turn Instruction Following for Conversational Web Agents. CoRR abs/2402.15057 (2024) - [i62]Yang Deng, Yong Zhao, Moxin Li, See-Kiong Ng, Tat-Seng Chua:
Gotcha! Don't trick me with unanswerable questions! Self-aligning Large Language Models for Responding to Unknown Questions. CoRR abs/2402.15062 (2024) - [i61]Lin Xu, Qixian Zhou, Jinlan Fu, See-Kiong Ng:
CET2: Modelling Topic Transitions for Coherent and Engaging Knowledge-Grounded Conversations. CoRR abs/2403.01848 (2024) - [i60]Fiona Anting Tan, Gerard Christopher Yeo, Fanyou Wu, Weijie Xu, Vinija Jain, Aman Chadha, Kokil Jaidka, Yang Liu, See-Kiong Ng:
PHAnToM: Personality Has An Effect on Theory-of-Mind Reasoning in Large Language Models. CoRR abs/2403.02246 (2024) - [i59]Wenyang Hu, Yao Shu, Zongmin Yu, Zhaoxuan Wu, Xiangqiang Lin, Zhongxiang Dai, See-Kiong Ng, Bryan Kian Hsiang Low:
Localized Zeroth-Order Prompt Optimization. CoRR abs/2403.02993 (2024) - [i58]Lin Xu, Ningxin Peng, Daquan Zhou, See-Kiong Ng, Jinlan Fu:
Chain of Thought Explanation for Dialogue State Tracking. CoRR abs/2403.04656 (2024) - [i57]Brian Formento, Wenjie Feng, Chuan Sheng Foo, Luu Anh Tuan, See-Kiong Ng:
SemRoDe: Macro Adversarial Training to Learn Representations That are Robust to Word-Level Attacks. CoRR abs/2403.18423 (2024) - [i56]Gregory Kang Ruey Lau, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low:
PINNACLE: PINN Adaptive ColLocation and Experimental points selection. CoRR abs/2404.07662 (2024) - [i55]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. CoRR abs/2404.12130 (2024) - [i54]Lin Xu, Yilin Zhao, Daquan Zhou, Zhijie Lin, See-Kiong Ng, Jiashi Feng:
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning. CoRR abs/2404.16994 (2024) - [i53]Wenjie Wang, Honghui Bao, Xilin Chen, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua:
Learnable Tokenizer for LLM-based Generative Recommendation. CoRR abs/2405.07314 (2024) - [i52]Zhaoxuan Wu, Xiaoqiang Lin, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low:
Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars. CoRR abs/2405.16122 (2024) - [i51]Xiaoqiang Lin, Zhongxiang Dai, Arun Verma, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low:
Prompt Optimization with Human Feedback. CoRR abs/2405.17346 (2024) - [i50]Naibo Wang, Yuchen Deng, Wenjie Feng, Jianwei Yin, See-Kiong Ng:
Data-Free Federated Class Incremental Learning with Diffusion-Based Generative Memory. CoRR abs/2405.17457 (2024) - [i49]Thong Thanh Nguyen, Zhiyuan Hu, Xiaobao Wu, Cong-Duy T. Nguyen, See-Kiong Ng, Anh Tuan Luu:
Encoding and Controlling Global Semantics for Long-form Video Question Answering. CoRR abs/2405.19723 (2024) - [i48]Thong Nguyen, Yi Bin, Junbin Xiao, Leigang Qu, Yicong Li, Jay Zhangjie Wu, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan:
Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives. CoRR abs/2406.05615 (2024) - [i47]Xuan Zhang, Yang Deng, Zifeng Ren, See-Kiong Ng, Tat-Seng Chua:
Ask-before-Plan: Proactive Language Agents for Real-World Planning. CoRR abs/2406.12639 (2024) - [i46]Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Xianjing Han, Yifang Yin, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann:
PetalView: Fine-grained Location and Orientation Extraction of Street-view Images via Cross-view Local Search with Supplementary Materials. CoRR abs/2406.13409 (2024) - [i45]Nhung Bui, Xinyang Lu, See-Kiong Ng, Bryan Kian Hsiang Low:
On Newton's Method to Unlearn Neural Networks. CoRR abs/2406.14507 (2024) - [i44]Wenhao Shi, Zhiqiang Hu, Yi Bin, Junhua Liu, Yang Yang, See-Kiong Ng, Lidong Bing, Roy Ka-Wei Lee:
Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models. CoRR abs/2406.17294 (2024) - [i43]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. CoRR abs/2407.03788 (2024) - [i42]Cheng Wang, Xinyang Lu, See-Kiong Ng, Bryan Kian Hsiang Low:
TRACE: TRansformer-based Attribution using Contrastive Embeddings in LLMs. CoRR abs/2407.04981 (2024) - [i41]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. CoRR abs/2407.18590 (2024) - [i40]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. CoRR abs/2408.00305 (2024) - [i39]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. CoRR abs/2408.00491 (2024) - [i38]Zhiyuan Hu, Yuliang Liu, Jinman Zhao, Suyuchen Wang, Yan Wang, Wei Shen, Qing Gu, Anh Tuan Luu, See-Kiong Ng, Zhiwei Jiang, Bryan Hooi:
LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models. CoRR abs/2409.00509 (2024) - 2023
- [j44]Feng Hou, Ruili Wang, See-Kiong Ng, Michael Witbrock, Fangyi Zhu, Xiaoyun Jia:
Exploiting anonymous entity mentions for named entity linking. Knowl. Inf. Syst. 65(3): 1221-1242 (2023) - [j43]Lin Xu, Qixian Zhou, Jinlan Fu, See-Kiong Ng:
CET2: Modelling Topic Transitions for Coherent and Engaging Knowledge-Grounded Conversations. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3527-3536 (2023) - [j42]Mingzhe Du, Mouad Hakam, See-Kiong Ng, Stéphane Bressan:
Constituency-Informed and Constituency-Constrained Extractive Question Answering with Heterogeneous Graph Transformer. Trans. Large Scale Data Knowl. Centered Syst. 53: 90-106 (2023) - [j41]Kiran Krishnamachari, See-Kiong Ng, Chuan-Sheng Foo:
Mitigating Real-World Distribution Shifts in the Fourier Domain. Trans. Mach. Learn. Res. 2023 (2023) - [j40]Naibo Wang, Wenjie Feng, Yuchen Deng, Moming Duan, Fusheng Liu, See-Kiong Ng:
Data-Free Diversity-Based Ensemble Selection for One-Shot Federated Learning. Trans. Mach. Learn. Res. 2023 (2023) - [j39]Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh, Renrong Weng, Rui Tan:
Learning Hierarchical Spatial Tasks with Visiting Relations for Next POI Recommendation. Trans. Recomm. Syst. 1(4): 1-26 (2023) - [j38]Yifang Yin, Wenmiao Hu, An Tran, Ying Zhang, Guanfeng Wang, Hannes Kruppa, Roger Zimmermann, See-Kiong Ng:
Multimodal Deep Learning for Robust Road Attribute Detection. ACM Trans. Spatial Algorithms Syst. 9(4): 27:1-27:25 (2023) - [c109]Sujatha Das Gollapalli, Mingzhe Du, See-Kiong Ng:
Generating Reflective Questions for Engaging Gallery Visitors in ArtMuse. AAAI 2023: 16434-16436 - [c108]Sujatha Das Gollapalli, Yixin Huang, See-Kiong Ng:
NUS-IDS at PragTag-2023: Improving Pragmatic Tagging of Peer Reviews through Unlabeled Data. ArgMining@EMNLP 2023: 212-217 - [c107]Richa Hu, Dan Li, See-Kiong Ng, Zibin Zheng:
CB-GAN: Generate Sensitive Data with a Convolutional Bidirectional Generative Adversarial Networks. DASFAA (4) 2023: 159-174 - [c106]Fiona Anting Tan, Xinyu Zuo, See-Kiong Ng:
UniCausal: Unified Benchmark and Repository for Causal Text Mining. DaWaK 2023: 248-262 - [c105]Brian Formento, Chuan-Sheng Foo, Anh Tuan Luu, See-Kiong Ng:
Using Punctuation as an Adversarial Attack on Deep Learning-Based NLP Systems: An Empirical Study. EACL (Findings) 2023: 1-34 - [c104]Beng Heng Ang, Sujatha Das Gollapalli, See-Kiong Ng:
Socratic Question Generation: A Novel Dataset, Models, and Evaluation. EACL 2023: 147-165 - [c103]Yi Bin, Mengqun Han, Wenhao Shi, Lei Wang, Yang Yang, See-Kiong Ng, Heng Tao Shen:
Non-Autoregressive Math Word Problem Solver with Unified Tree Structure. EMNLP 2023: 3290-3301 - [c102]Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu:
DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding. EMNLP (Findings) 2023: 3635-3649 - [c101]Sujatha Das Gollapalli, Beng Heng Ang, See-Kiong Ng:
Identifying Early Maladaptive Schemas from Mental Health Question Texts. EMNLP (Findings) 2023: 11832-11843 - [c100]Jingwen Tan, Dan Li, Zibin Zheng, See-Kiong Ng:
Fault Detection and Diagnosis of Air Handling Units Based On Adversarial Multi-task Learning. ICDM (Workshops) 2023: 89-98 - [c99]Jie Wang, Dan Li, Zibin Zheng, See-Kiong Ng:
Adversarial Maritime Trajectory Prediction with Real-time Spatial-Temporal Mutual Influence. ICDM (Workshops) 2023: 852-859 - [c98]Apivich Hemachandra, Zhongxiang Dai, Jasraj Singh, See-Kiong Ng, Bryan Kian Hsiang Low:
Training-Free Neural Active Learning with Initialization-Robustness Guarantees. ICML 2023: 12931-12971 - [c97]Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng, Chuan-Sheng Foo, Bryan Kian Hsiang Low:
Fair yet Asymptotically Equal Collaborative Learning. ICML 2023: 21223-21259 - [c96]Fangyi Zhu, See-Kiong Ng, Stéphane Bressan:
COOL, a Context Outlooker, and Its Application to Question Answering and Other Natural Language Processing Tasks. IJCAI 2023: 5314-5322 - [c95]Fiona Anting Tan, Hansi Hettiarachchi, Ali Hürriyetoglu, Nelleke Oostdijk, Tommaso Caselli, Tadashi Nomoto, Onur Uca, Farhana Ferdousi Liza, See-Kiong Ng:
RECESS: Resource for Extracting Cause, Effect, and Signal Spans. IJCNLP (1) 2023: 66-82 - [c94]Yingjie Liu, Xian Wei, See-Kiong Ng, Tongtong Zhang, Mingsong Chen, Xuan Tang:
SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding. IJCNN 2023: 1-10 - [c93]Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Xianjing Han, Yifang Yin, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann:
PetalView: Fine-grained Location and Orientation Extraction of Street-view Images via Cross-view Local Search. ACM Multimedia 2023: 56-66 - [c92]Fiona Anting Tan, See-Kiong Ng:
Economics Assistant for Robustness Checks (EconARC): Identifying Confounders from Causal Knowledge Graphs. ISWC (Posters/Demos/Industry) 2023 - [c91]Naibo Wang, Wenjie Feng, Jianwei Yin, See-Kiong Ng:
EasySpider: A No-Code Visual System for Crawling the Web. WWW (Companion Volume) 2023: 192-195 - [c90]Sujatha Das Gollapalli, Mingzhe Du, See-Kiong Ng:
Identifying Checkworthy CURE Claims on Twitter. WWW 2023: 4015-4019 - [i37]Kiran Krishnamachari, See-Kiong Ng, Chuan-Sheng Foo:
Fourier Sensitivity and Regularization of Computer Vision Models. CoRR abs/2301.13514 (2023) - [i36]Jinlan Fu, See-Kiong Ng, Zhengbao Jiang, Pengfei Liu:
GPTScore: Evaluate as You Desire. CoRR abs/2302.04166 (2023) - [i35]Naibo Wang, Wenjie Feng, Fusheng Liu, Moming Duan, See-Kiong Ng:
Data-Free Diversity-Based Ensemble Selection For One-Shot Federated Learning in Machine Learning Model Market. CoRR abs/2302.11751 (2023) - [i34]Fiona Anting Tan, Debdeep Paul, Sahim Yamaura, Miura Koji, See-Kiong Ng:
Constructing and Interpreting Causal Knowledge Graphs from News. CoRR abs/2305.09359 (2023) - [i33]Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Viktor Schlegel, Stefan Winkler, See-Kiong Ng, Soujanya Poria:
Beyond Words: A Comprehensive Survey of Sentence Representations. CoRR abs/2305.12641 (2023) - [i32]Apivich Hemachandra, Zhongxiang Dai, Jasraj Singh, See-Kiong Ng, Bryan Kian Hsiang Low:
Training-Free Neural Active Learning with Initialization-Robustness Guarantees. CoRR abs/2306.04454 (2023) - [i31]Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng, Chuan-Sheng Foo, Bryan Kian Hsiang Low:
Fair yet Asymptotically Equal Collaborative Learning. CoRR abs/2306.05764 (2023) - [i30]Guilherme Augusto Zagatti, Samuel A. Isaacson, Christopher Rackauckas, Vasily Ilin, See-Kiong Ng, Stéphane Bressan:
Extending JumpProcess.jl for fast point process simulation with time-varying intensities. CoRR abs/2306.06992 (2023) - [i29]Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Yifang Yin, Andrei Georgescu, An Tran, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann:
Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery with Supplementary Materials. CoRR abs/2307.03398 (2023) - [i28]Zhiyuan Hu, Yue Feng, Yang Deng, Zekun Li, See-Kiong Ng, Anh Tuan Luu, Bryan Hooi:
Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals. CoRR abs/2309.08949 (2023) - [i27]Jingtan Wang, Xinyang Lu, Zitong Zhao, Zhongxiang Dai, Chuan-Sheng Foo, See-Kiong Ng, Bryan Kian Hsiang Low:
WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data. CoRR abs/2310.00646 (2023) - [i26]Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low:
Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers. CoRR abs/2310.02905 (2023) - [i25]Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua:
A Multi-facet Paradigm to Bridge Large Language Model and Recommendation. CoRR abs/2310.06491 (2023) - [i24]Yi Bin, Wenhao Shi, Yujuan Ding, Yang Yang, See-Kiong Ng:
Solving Math Word Problems with Reexamination. CoRR abs/2310.09590 (2023) - [i23]Mingzhe Du, Anh Tuan Luu, Bin Ji, See-Kiong Ng:
From Static to Dynamic: A Continual Learning Framework for Large Language Models. CoRR abs/2310.14248 (2023) - [i22]Yang Deng, Wenxuan Zhang, Wai Lam, See-Kiong Ng, Tat-Seng Chua:
Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents. CoRR abs/2311.00262 (2023) - [i21]Lin Xu, Zhiyuan Hu, Daquan Zhou, Hongyu Ren, Zhen Dong, Kurt Keutzer, See-Kiong Ng, Jiashi Feng:
MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration. CoRR abs/2311.08562 (2023) - [i20]Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan:
DemaFormer: Damped Exponential Moving Average Transformer with Energy-Based Modeling for Temporal Language Grounding. CoRR abs/2312.02549 (2023) - [i19]Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Khoi Le, Zhiyuan Hu, Cong-Duy Nguyen, See-Kiong Ng, Luu Anh Tuan:
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling. CoRR abs/2312.06950 (2023) - [i18]Mingtao Yang, See-Kiong Ng, Jinlan Fu:
OmniDialog: An Omnipotent Pre-training Model for Task-Oriented Dialogue System. CoRR abs/2312.16864 (2023) - 2022
- [j37]Kiran Krishnamachari, See-Kiong Ng, Chuan-Sheng Foo:
Fourier Sensitivity and Regularization of Computer Vision Models. Trans. Mach. Learn. Res. 2022 (2022) - [c89]Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng:
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks. AAAI 2022: 6737-6745 - [c88]Sujatha Das Gollapalli, See-Kiong Ng, Ying Kiat Tham, Shan Shan Chow, Jia Min Wong, Kevin Lim:
PaintTeR: Automatic Extraction of Text Spans for Generating Art-Centered Questions. AAAI 2022: 12503-12509 - [c87]Weiling Chen, Sheng Lun Benjamin Chua, Stefan Winkler, See-Kiong Ng:
Trusted Media Challenge Dataset and User Study. CIKM 2022: 3873-3877 - [c86]Mingzhe Du, Sujatha Das Gollapalli, See-Kiong Ng:
NUS-IDS at CheckThat!2022: Identifying Check-worthiness of Tweets using CheckthaT5. CLEF (Working Notes) 2022: 468-477 - [c85]Lin Xu, Qixian Zhou, Jinlan Fu, Min-Yen Kan, See-Kiong Ng:
CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations. COLING 2022: 471-484 - [c84]Sujatha Das Gollapalli, See-Kiong Ng:
QSTS: A Question-Sensitive Text Similarity Measure for Question Generation. COLING 2022: 3835-3846 - [c83]Fangyi Zhu, Lok You Tan, See-Kiong Ng, Stéphane Bressan:
Syntax-Informed Question Answering with Heterogeneous Graph Transformer. DEXA (1) 2022: 17-31 - [c82]Guilherme Augusto Zagatti, See-Kiong Ng, Stéphane Bressan:
Latent Relational Point Process: Network Reconstruction from Discrete Event Data. DEXA (2) 2022: 32-46 - [c81]Jinlan Fu, See-Kiong Ng, Pengfei Liu:
Polyglot Prompt: Multilingual Multitask Prompt Training. EMNLP 2022: 9919-9935 - [c80]Panpan Qi, Dan Li, See-Kiong Ng:
MAD-SGCN: Multivariate Anomaly Detection with Self-learning Graph Convolutional Networks. ICDE 2022: 1232-1244 - [c79]Wenmiao Hu, Yichen Zhang, Yuxuan Liang, Yifang Yin, Andrei Georgescu, An Tran, Hannes Kruppa, See-Kiong Ng, Roger Zimmermann:
Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery. ACM Multimedia 2022: 6155-6164 - [c78]Yang Xiao, Jinlan Fu, See-Kiong Ng, Pengfei Liu:
Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification. NAACL-HLT 2022: 2930-2941 - [c77]Adam Goodge, Bryan Hooi, See-Kiong Ng, Wee Siong Ng:
ARES: Locally Adaptive Reconstruction-Based Anomaly Scoring. ECML/PKDD (1) 2022: 193-208 - [c76]Nicholas Lim, Bryan Hooi, See-Kiong Ng, Yong Liang Goh, Renrong Weng, Rui Tan:
Hierarchical Multi-Task Graph Recurrent Network for Next POI Recommendation. SIGIR 2022: 1133-1143 - [c75]Yifang Yin, Wenmiao Hu, An Tran, Hannes Kruppa, Roger Zimmermann, See-Kiong Ng:
A Context-enriched Satellite Imagery Dataset and an Approach for Parking Lot Detection. WACV 2022: 1391-1400 - [i17]Xian Wei, See-Kiong Ng, Tongtong Zhang, Yingjie Liu:
SparGE: Sparse Coding-based Patient Similarity Learning via Low-rank Constraints and Graph Embedding. CoRR abs/2202.01427 (2022) - [i16]Fangyi Zhu, See-Kiong Ng, Stéphane Bressan:
COOL, a Context Outlooker, and its Application to Question Answering and other Natural Language Processing Tasks. CoRR abs/2204.09593 (2022) - [i15]Fangyi Zhu, Lok You Tan, See-Kiong Ng, Stéphane Bressan:
Syntax-informed Question Answering with Heterogeneous Graph Transformer. CoRR abs/2204.09655 (2022) - [i14]Jinlan Fu, See-Kiong Ng, Pengfei Liu:
Polyglot Prompt: Multilingual Multitask PrompTraining. CoRR abs/2204.14264 (2022) - [i13]Yang Xiao, Jinlan Fu, See-Kiong Ng, Pengfei Liu:
Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification. CoRR abs/2205.02129 (2022) - [i12]