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See-Kiong Ng
85 papers at tracked venues · 60 at CORE A* · active 2024–2026
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Venues
ACL
×17
EMNLP
×10
NeurIPS
×9
AAAI
×8
ICLR
×8
ACM MM
×7
ICML
×4
IJCAI
×3
NAACL
×3
CIKM
×2
SIGIR
×2
WWW
×2
AAMAS
×1
AISTATS
×1
CCS
×1
EACL
×1
ECAI
×1
ECCV
×1
ECIR
×1
ICDE
×1
ICWSM
×1
SIGKDD
×1
Frequent coauthors
Tat-Seng Chua
×19
Anh Tuan Luu
×16
Bryan Kian Hsiang Low
×12
Mingzhe Du
×10
Yang Deng
×9
Zhiyuan Hu
×8
Yi Bin
×8
Wenjie Wang
×7
Xiaobao Wu
×7
Cong-Duy Nguyen
×7
Bryan Hooi
×6
Jinyu Cai
×6
Papers
Beyond Prompt: Fine-grained Simulation of Cognitively Impaired Standardized Patients via Stochastic Steering
BibTeX ⧉
ACL 2026
·
Weikang Zhang
,
Zimo Zhu
,
Zhichuan Yang
,
Chen Huang
,
Wenqiang Lei
,
See-Kiong Ng
Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models
BibTeX ⧉
ACL 2026
·
Jingwei Ni
,
Ekaterina Fadeeva
,
Tianyi Wu
,
Mubashara Akhtar
,
Jiaheng Zhang
,
Elliott Ash
,
Markus Leippold
,
Timothy Baldwin
,
See-Kiong Ng
,
Artem Shelmanov
,
Mrinmaya Sachan
HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding
BibTeX ⧉
ACL 2026
·
Haowei Zhang
,
Shudong Yang
,
Jinlan Fu
,
See-Kiong Ng
,
Xipeng Qiu
Improving Conversational Recommendation with Contextual Adaptation of External Recommenders and LLM-Based Reranking
BibTeX ⧉
ECIR 2026
·
Chuang Li
,
Weida Liang
,
Hengchang Hu
,
See-Kiong Ng
,
Min-Yen Kan
,
Haizhou Li
,
Yang Deng
METER: Evaluating Multi-Level Contextual Causal Reasoning in Large Language Models
BibTeX ⧉
ACL 2026
·
Pengfeng Li
,
Chen Huang
,
Chaoqun Hao
,
Hongyao Chen
,
Xiao-Yong Wei
,
Wenqiang Lei
,
See-Kiong Ng
METRO: Towards Strategy Induction from Expert Dialogue Transcripts for Non-collaborative Dialogues
BibTeX ⧉
ACL 2026
·
Haofu Yang
,
Jiaji Liu
,
Chen Huang
,
Faguo Wu
,
Wenqiang Lei
,
See-Kiong Ng
Pro-QuEST: A Prompt-chain based Quiz Engine for testing Specialized Technical Product Knowledge
BibTeX ⧉
EACL 2026
·
Sujatha Das Gollapalli
,
Mouad Hakam
,
Mingzhe Du
,
See-Kiong Ng
,
Mohammed Hamzeh
Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs
BibTeX ⧉
ACL 2026
·
Zhiyuan Hu
,
Yucheng Wang
,
Yufei He
,
Jiaying Wu
,
Yilun Zhao
,
See-Kiong Ng
,
Cynthia Breazeal
,
Anh Tuan Luu
,
Hae Won Park
,
Bryan Hooi
SEAR: LLM-Powered Sequential Recommendation via Fusion of Collaborative, Semantic, and Rating Information
BibTeX ⧉
WWW 2026
·
Wei Guan
,
Jian Cao
,
Qiqi Cai
,
Jianqi Gao
,
Jinyu Cai
,
See-Kiong Ng
ThinkTank-ME: A Multi-Expert Framework for Middle East Event Forecasting
BibTeX ⧉
WWW 2026
·
Haoxuan Li
,
He Chang
,
Yunshan Ma
,
Yi Bin
,
Yang Yang
,
See-Kiong Ng
,
Tat-Seng Chua
Towards Proactive Information Probing: Customer Service Chatbots Harvesting Value from Conversation
BibTeX ⧉
ACL 2026
·
Chen Huang
,
Zitan Jiang
,
Changyi Zou
,
Wenqiang Lei
,
See-Kiong Ng
A Federated Framework for LLM-based Recommendation
BibTeX ⧉
NAACL 2025
·
Jujia Zhao
,
Wenjie Wang
,
Chen Xu
,
See-Kiong Ng
,
Tat-Seng Chua
Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization
BibTeX ⧉
NeurIPS 2025
·
Mingzhe Du
,
Anh Tuan Luu
,
Yue Liu
,
Yuhao Qing
,
Dong Huang
,
Xinyi He
,
Qian Liu
,
Zejun Ma
,
See-Kiong Ng
AgentPro: Enhancing LLM Agents with Automated Process Supervision
BibTeX ⧉
EMNLP 2025
·
Yuchen Deng
,
Shichen Fan
,
Naibo Wang
,
Xinkui Zhao
,
See-Kiong Ng
Aligning Large Language Models for Faithful Integrity Against Opposing Argument
BibTeX ⧉
AAAI 2025
·
Yong Zhao
,
Yang Deng
,
See-Kiong Ng
,
Tat-Seng Chua
CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs
BibTeX ⧉
ICLR 2025
·
Jinlan Fu
,
Shenzhen Huangfu
,
Hao Fei
,
Xiaoyu Shen
,
Bryan Hooi
,
Xipeng Qiu
,
See-Kiong Ng
CodeArena: A Collective Evaluation Platform for LLM Code Generation
BibTeX ⧉
ACL 2025
·
Mingzhe Du
,
Anh Tuan Luu
,
Bin Ji
,
Xiaobao Wu
,
Yuhao Qing
,
Dong Huang
,
Terry Yue Zhuo
,
Qian Liu
,
See-Kiong Ng
Confidence Elicitation: A New Attack Vector for Large Language Models
BibTeX ⧉
ICLR 2025
·
Brian Formento
,
Chuan-Sheng Foo
,
See-Kiong Ng
Continual Multimodal Contrastive Learning
BibTeX ⧉
NeurIPS 2025
·
Xiaohao Liu
,
Xiaobo Xia
,
See-Kiong Ng
,
Tat-Seng Chua
D-Judge: How Far Are We? Assessing the Discrepancies Between AI-synthesized and Natural Images through Multimodal Guidance
BibTeX ⧉
ACM MM 2025
·
Renyang Liu
,
Ziyu Lyu
,
Wei Zhou
,
See-Kiong Ng
DUPRE: Data Utility Prediction for Efficient Data Valuation
BibTeX ⧉
AAMAS 2025
·
Kieu Thao Nguyen Pham
,
Rachael Hwee Ling Sim
,
Quoc Phong Nguyen
,
See-Kiong Ng
,
Bryan Kian Hsiang Low
Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning Tasks
BibTeX ⧉
EMNLP 2025
·
Wenyang Hu
,
Gregory Kang Ruey Lau
,
Diwen Liu
,
Jizhuo Chen
,
See-Kiong Ng
,
Bryan Kian Hsiang Low
EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code
BibTeX ⧉
NeurIPS 2025
·
Yuhao Qing
,
Boyu Zhu
,
Mingzhe Du
,
Zhijiang Guo
,
Terry Yue Zhuo
,
Qianru Zhang
,
Jie M. Zhang
,
Heming Cui
,
Siu Ming Yiu
,
Dong Huang
,
See-Kiong Ng
,
Anh Tuan Luu
Efficient Inference for Large Language Model-based Generative Recommendation
BibTeX ⧉
ICLR 2025
·
Xinyu Lin
,
Chaoqun Yang
,
Wenjie Wang
,
Yongqi Li
,
Cunxiao Du
,
Fuli Feng
,
See-Kiong Ng
,
Tat-Seng Chua
Efficient Top-m Data Values Identification for Data Selection
BibTeX ⧉
ICLR 2025
·
Xiaoqiang Lin
,
Xinyi Xu
,
See-Kiong Ng
,
Bryan Kian Hsiang Low
FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models
BibTeX ⧉
ACL 2025
·
Hongzhan Lin
,
Yang Deng
,
Yuxuan Gu
,
Wenxuan Zhang
,
Jing Ma
,
See-Kiong Ng
,
Tat-Seng Chua
Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models
BibTeX ⧉
ICML 2025
·
Yao Shu
,
Wenyang Hu
,
See-Kiong Ng
,
Bryan Kian Hsiang Low
,
Fei Richard Yu
How Does Response Length Affect Long-Form Factuality
BibTeX ⧉
ACL 2025
·
James Xu Zhao
,
Jimmy Z. J. Liu
,
Bryan Hooi
,
See-Kiong Ng
Integrating Time Series into LLMs via Multi-layer Steerable Embedding Fusion for Enhanced Forecasting
BibTeX ⧉
CIKM 2025
·
Zhuomin Chen
,
Dan Li
,
Jiahui Zhou
,
Shunyu Wu
,
Haozheng Ye
,
Jian Lou
,
See-Kiong Ng
Interrelated Dense Pattern Detection in Multilayer Networks (Extended Abstract)
BibTeX ⧉
ICDE 2025
·
Wenjie Feng
,
Li Wang
,
Bryan Hooi
,
See-Kiong Ng
,
Shenhua Liu
Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency
BibTeX ⧉
ACL 2025
·
Jiafeng Liang
,
Shixin Jiang
,
Xuan Dong
,
Ning Wang
,
Zheng Chu
,
Hui Su
,
Jinlan Fu
,
Ming Liu
,
See-Kiong Ng
,
Bing Qin
Knowledge Boundary of Large Language Models: A Survey
BibTeX ⧉
ACL 2025
·
Moxin Li
,
Yong Zhao
,
Wenxuan Zhang
,
Shuaiyi Li
,
Wenya Xie
,
See-Kiong Ng
,
Tat-Seng Chua
,
Yang Deng
L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models
BibTeX ⧉
NeurIPS 2025
·
Xiaohao Liu
,
Xiaobo Xia
,
Weixiang Zhao
,
Manyi Zhang
,
Xianzhi Yu
,
Xiu Su
,
Shuo Yang
,
See-Kiong Ng
,
Tat-Seng Chua
Leveraging Diffusion Model as Pseudo-Anomalous Graph Generator for Graph-Level Anomaly Detection
BibTeX ⧉
ICML 2025
·
Jinyu Cai
,
Yunhe Zhang
,
Fusheng Liu
,
See-Kiong Ng
LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models
BibTeX ⧉
ACL 2025
·
Zhiyuan Hu
,
Yuliang Liu
,
Jinman Zhao
,
Suyuchen Wang
,
WangYan WangYan
,
Wei Shen
,
Qing Gu
,
Anh Tuan Luu
,
See-Kiong Ng
,
Zhiwei Jiang
,
Bryan Hooi
MCM-DPO: Multifaceted Cross-Modal Direct Preference Optimization for Alt-text Generation
BibTeX ⧉
ACM MM 2025
·
Jinlan Fu
,
Shenzhen Huangfu
,
Hao Fei
,
Yichong Huang
,
Xiaoyu Shen
,
Xipeng Qiu
,
See-Kiong Ng
Media Source Matters More Than Content: Unveiling Political Bias in LLM-Generated Citations
BibTeX ⧉
EMNLP 2025
·
Sunhao Dai
,
Zhanshuo Cao
,
Wenjie Wang
,
Liang Pang
,
Jun Xu
,
See-Kiong Ng
,
Tat-Seng Chua
Mixture of Experts as Representation Learner for Deep Multi-View Clustering
BibTeX ⧉
AAAI 2025
·
Yunhe Zhang
,
Jinyu Cai
,
Zhihao Wu
,
Pengyang Wang
,
See-Kiong Ng
Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation
BibTeX ⧉
AAAI 2025
·
Thong Thanh Nguyen
,
Xiaobao Wu
,
Yi Bin
,
Cong-Duy T. Nguyen
,
See-Kiong Ng
,
Anh Tuan Luu
Multi-Scale Contrastive Learning for Video Temporal Grounding
BibTeX ⧉
AAAI 2025
·
Thong Thanh Nguyen
,
Yi Bin
,
Xiaobao Wu
,
Zhiyuan Hu
,
Cong-Duy T. Nguyen
,
See-Kiong Ng
,
Anh Tuan Luu
NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search
BibTeX ⧉
SIGIR 2025
·
Sunhao Dai
,
Wenjie Wang
,
Liang Pang
,
Jun Xu
,
See-Kiong Ng
,
Ji-Rong Wen
,
Tat-Seng Chua
On Assigning Product and Software Codes to Customer Service Requests with Large Language Models
BibTeX ⧉
EMNLP 2025
·
Sujatha Das Gollapalli
,
Mouad Hakam
,
Mingzhe Du
,
See-Kiong Ng
,
Mohammed Hamzeh
Order-agnostic Identifier for Large Language Model-based Generative Recommendation
BibTeX ⧉
SIGIR 2025
·
Xinyu Lin
,
Haihan Shi
,
Wenjie Wang
,
Fuli Feng
,
Qifan Wang
,
See-Kiong Ng
,
Tat-Seng Chua
PHAnToM: Persona-Based Prompting Has an Effect on Theory-of-Mind Reasoning in Large Language Models
BibTeX ⧉
ICWSM 2025
·
Gerard Yeo
,
Fiona Anting Tan
,
Kokil Jaidka
,
Shaz Furniturewala
,
Fanyou Wu
,
Weijie Xu
,
Vinija Jain
,
Aman Chadha
,
Yang Liu
,
See-Kiong Ng
PIED: Physics-Informed Experimental Design for Inverse Problems
BibTeX ⧉
ICLR 2025
·
Apivich Hemachandra
,
Gregory Kang Ruey Lau
,
See-Kiong Ng
,
Bryan Kian Hsiang Low
Rethinking Machine Unlearning in Image Generation Models
BibTeX ⧉
CCS 2025
·
Renyang Liu
,
Wenjie Feng
,
Tianwei Zhang
,
Wei Zhou
,
Xueqi Cheng
,
See-Kiong Ng
Self-Perturbed Anomaly-Aware Graph Dynamics for Multivariate Time-Series Anomaly Detection
BibTeX ⧉
NeurIPS 2025
·
Jinyu Cai
,
Yuan Xie
,
Glynnis Lim
,
Yifang Yin
,
Roger Zimmermann
,
See-Kiong Ng
Taking STEPS Forward: Enhancing Online Peer-Counseling with Schema Therapy via Socratic Questioning
BibTeX ⧉
IJCAI 2025
·
Beng Heng Ang
,
Sujatha Das Gollapalli
,
See-Kiong Ng
Towards Modality Generalization: A Benchmark and Prospective Analysis
BibTeX ⧉
ACM MM 2025
·
Xiaohao Liu
,
Xiaobo Xia
,
Zhuo Huang
,
See-Kiong Ng
,
Tat-Seng Chua
Towards Verifiable Text Generation with Generative Agent
BibTeX ⧉
AAAI 2025
·
Bin Ji
,
Huijun Liu
,
Mingzhe Du
,
Shasha Li
,
Xiaodong Liu
,
Jun Ma
,
Jie Yu
,
See-Kiong Ng
Uncovering Scaling Laws for Large Language Models via Inverse Problems
BibTeX ⧉
EMNLP 2025
·
Arun Verma
,
Zhaoxuan Wu
,
Zijian Zhou
,
Xiaoqiang Lin
,
Zhiliang Chen
,
Rachael Hwee Ling Sim
,
Rui Qiao
,
Jingtan Wang
,
Nhung Bui
,
Xinyuan Niu
,
Wenyang Hu
,
Gregory Kang Ruey Lau
,
Zi-Yu Khoo
,
Zitong Zhao
,
Xinyi Xu
,
Apivich Hemachandra
,
See-Kiong Ng
,
Bryan Kian Hsiang Low
WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data
BibTeX ⧉
ACL 2025
·
Xinyang Lu
,
Jingtan Wang
,
Zitong Zhao
,
Zhongxiang Dai
,
Chuan-Sheng Foo
,
See-Kiong Ng
,
Bryan Kian Hsiang Low
Ask-before-Plan: Proactive Language Agents for Real-World Planning
BibTeX ⧉
EMNLP 2024
·
Xuan Zhang
,
Yang Deng
,
Zifeng Ren
,
See-Kiong Ng
,
Tat-Seng Chua
Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation
BibTeX ⧉
SIGKDD 2024
·
Xinyu Lin
,
Wenjie Wang
,
Yongqi Li
,
Fuli Feng
,
See-Kiong Ng
,
Tat-Seng Chua
Chain-of-Exemplar: Enhancing Distractor Generation for Multimodal Educational Question Generation
BibTeX ⧉
ACL 2024
·
Haohao Luo
,
Yang Deng
,
Ying Shen
,
See-Kiong Ng
,
Tat-Seng Chua
Chain-of-Thought Improves Text Generation with Citations in Large Language Models
BibTeX ⧉
AAAI 2024
·
Bin Ji
,
Huijun Liu
,
Mingzhe Du
,
See-Kiong Ng
Counseling Responses for Mental Health Forum Questions with Early Maladaptive Schema Prediction
BibTeX ⧉
ECAI 2024
·
Sujatha Das Gollapalli
,
Beng Heng Ang
,
Mingzhe Du
,
See-Kiong Ng
Distributionally Robust Data Valuation
BibTeX ⧉
ICML 2024
·
Xiaoqiang Lin
,
Xinyi Xu
,
Zhaoxuan Wu
,
See-Kiong Ng
,
Bryan Kian Hsiang Low
Don't Just Say "I don't know"! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations
BibTeX ⧉
EMNLP 2024
·
Yang Deng
,
Yong Zhao
,
Moxin Li
,
See-Kiong Ng
,
Tat-Seng Chua
Encoding and Controlling Global Semantics for Long-form Video Question Answering
BibTeX ⧉
EMNLP 2024
·
Thong Nguyen
,
Zhiyuan Hu
,
Xiaobao Wu
,
Cong-Duy Nguyen
,
See-Kiong Ng
,
Anh Tuan Luu
From 2D to 3D: AISG-SLA Visual Localization Challenge
BibTeX ⧉
IJCAI 2024
·
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 Static to Dynamic: Knowledge Metabolism for Large Language Models
BibTeX ⧉
AAAI 2024
·
Mingzhe Du
,
Anh Tuan Luu
,
Bin Ji
,
See-Kiong Ng
GPTScore: Evaluate as You Desire
BibTeX ⧉
NAACL 2024
·
Jinlan Fu
,
See-Kiong Ng
,
Zhengbao Jiang
,
Pengfei Liu
GalleryGPT: Analyzing Paintings with Large Multimodal Models
BibTeX ⧉
ACM MM 2024
·
Yi Bin
,
Wenhao Shi
,
Yujuan Ding
,
Zhiqiang Hu
,
Zheng Wang
,
Yang Yang
,
See-Kiong Ng
,
Heng Tao Shen
LG-FGAD: An Effective Federated Graph Anomaly Detection Framework
BibTeX ⧉
IJCAI 2024
·
Jinyu Cai
,
Yunhe Zhang
,
Jicong Fan
,
See-Kiong Ng
Learnable Item Tokenization for Generative Recommendation
BibTeX ⧉
CIKM 2024
·
Wenjie Wang
,
Honghui Bao
,
Xinyu Lin
,
Jizhi Zhang
,
Yongqi Li
,
Fuli Feng
,
See-Kiong Ng
,
Tat-Seng Chua
Learning multivariate temporal point processes via the time-change theorem
BibTeX ⧉
AISTATS 2024
·
Guilherme Augusto Zagatti
,
See-Kiong Ng
,
Stéphane Bressan
Leveraging Weak Cross-Modal Guidance for Coherence Modelling via Iterative Learning
BibTeX ⧉
ACM MM 2024
·
Yi Bin
,
Junrong Liao
,
Yujuan Ding
,
Haoxuan Li
,
Yang Yang
,
See-Kiong Ng
,
Heng Tao Shen
Localized Zeroth-Order Prompt Optimization
BibTeX ⧉
NeurIPS 2024
·
Wenyang Hu
,
Yao Shu
,
Zongmin Yu
,
Zhaoxuan Wu
,
Xiaoqiang Lin
,
Zhongxiang Dai
,
See-Kiong Ng
,
Bryan Kian Hsiang Low
MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration
BibTeX ⧉
EMNLP 2024
·
Lin Xu
,
Zhiyuan Hu
,
Daquan Zhou
,
Hongyu Ren
,
Zhen Dong
,
Kurt Keutzer
,
See-Kiong Ng
,
Jiashi Feng
Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models
BibTeX ⧉
EMNLP 2024
·
Wenhao Shi
,
Zhiqiang Hu
,
Yi Bin
,
Junhua Liu
,
Yang Yang
,
See-Kiong Ng
,
Lidong Bing
,
Roy Ka-Wei Lee
Mercury: A Code Efficiency Benchmark for Code Large Language Models
BibTeX ⧉
NeurIPS 2024
·
Mingzhe Du
,
Anh Tuan Luu
,
Bin Ji
,
Qian Liu
,
See-Kiong Ng
Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning
BibTeX ⧉
ECCV 2024
·
Thong Nguyen
,
Yi Bin
,
Xiaobao Wu
,
Xinshuai Dong
,
Zhiyuan Hu
,
Khoi Le
,
Cong-Duy Nguyen
,
See-Kiong Ng
,
Luu Anh Tuan
On the Multi-turn Instruction Following for Conversational Web Agents
BibTeX ⧉
ACL 2024
·
Yang Deng
,
Xuan Zhang
,
Wenxuan Zhang
,
Yifei Yuan
,
See-Kiong Ng
,
Tat-Seng Chua
One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity
BibTeX ⧉
ACM MM 2024
·
Naibo Wang
,
Yuchen Deng
,
Wenjie Feng
,
Shichen Fan
,
Jianwei Yin
,
See-Kiong Ng
PINNACLE: PINN Adaptive ColLocation and Experimental points selection
BibTeX ⧉
ICLR 2024
·
Gregory Kang Ruey Lau
,
Apivich Hemachandra
,
See-Kiong Ng
,
Bryan Kian Hsiang Low
Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents
BibTeX ⧉
ICLR 2024
·
Yang Deng
,
Wenxuan Zhang
,
Wai Lam
,
See-Kiong Ng
,
Tat-Seng Chua
Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars
BibTeX ⧉
NeurIPS 2024
·
Zhaoxuan Wu
,
Xiaoqiang Lin
,
Zhongxiang Dai
,
Wenyang Hu
,
Yao Shu
,
See-Kiong Ng
,
Patrick Jaillet
,
Bryan Kian Hsiang Low
READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for Parameter-Efficient Transfer Learning in Low-Resource Video-Language Modeling
BibTeX ⧉
AAAI 2024
·
Thong Nguyen
,
Xiaobao Wu
,
Xinshuai Dong
,
Khoi M. Le
,
Zhiyuan Hu
,
Cong-Duy Nguyen
,
See-Kiong Ng
,
Anh Tuan Luu
SemRoDe: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks
BibTeX ⧉
NAACL 2024
·
Brian Formento
,
Wenjie Feng
,
Chuan-Sheng Foo
,
Anh Tuan Luu
,
See-Kiong Ng
Topic Modeling as Multi-Objective Contrastive Optimization
BibTeX ⧉
ICLR 2024
·
Thong Thanh Nguyen
,
Xiaobao Wu
,
Xinshuai Dong
,
Cong-Duy T. Nguyen
,
See-Kiong Ng
,
Anh Tuan Luu
Towards Effective Federated Graph Anomaly Detection via Self-boosted Knowledge Distillation
BibTeX ⧉
ACM MM 2024
·
Jinyu Cai
,
Yunhe Zhang
,
Zhoumin Lu
,
Wenzhong Guo
,
See-Kiong Ng
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs
BibTeX ⧉
NeurIPS 2024
·
Zhiyuan Hu
,
Chumin Liu
,
Xidong Feng
,
Yilun Zhao
,
See-Kiong Ng
,
Anh Tuan Luu
,
Junxian He
,
Pang Wei W. Koh
,
Bryan Hooi
Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers
BibTeX ⧉
ICML 2024
·
Xiaoqiang Lin
,
Zhaoxuan Wu
,
Zhongxiang Dai
,
Wenyang Hu
,
Yao Shu
,
See-Kiong Ng
,
Patrick Jaillet
,
Bryan Kian Hsiang Low
Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives
BibTeX ⧉
ACL 2024
·
Thong Nguyen
,
Yi Bin
,
Junbin Xiao
,
Leigang Qu
,
Yicong Li
,
Jay Zhangjie Wu
,
Cong-Duy Nguyen
,
See-Kiong Ng
,
Anh Tuan Luu