Lam, Wai

30 publications

TMLR 2025 A Survey on the Honesty of Large Language Models Siheng Li, Cheng Yang, Taiqiang Wu, Chufan Shi, Yuji Zhang, Xinyu Zhu, Zesen Cheng, Deng Cai, Mo Yu, Lemao Liu, Jie Zhou, Yujiu Yang, Ngai Wong, Xixin Wu, Wai Lam

ICLR 2025 Harnessing Webpage UIs for Text-Rich Visual Understanding Junpeng Liu, Tianyue Ou, Yifan Song, Yuxiao Qu, Wai Lam, Chenyan Xiong, Wenhu Chen, Graham Neubig, Xiang Yue

ICLRW 2025 SWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue Resolution Chengxing Xie, Bowen Li, Chang Gao, He Du, Wai Lam, Difan Zou, Kai Chen

TMLR 2025 Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models Haoran Li, Qingxiu Dong, Zhengyang Tang, Chaojun Wang, Xingxing Zhang, Haoyang Huang, Shaohan Huang, Xiaolong Huang, Zeqiang Huang, Dongdong Zhang, Yuxian Gu, Xin Cheng, Xun Wang, Si-Qing Chen, Li Dong, Wei Lu, Zhifang Sui, Benyou Wang, Wai Lam, Furu Wei

NeurIPS 2024 On the Worst Prompt Performance of Large Language Models Bowen Cao, Deng Cai, Zhisong Zhang, Yuexian Zou, Wai Lam

ICLR 2024 Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents Yang Deng, Wenxuan Zhang, Wai Lam, See-Kiong Ng, Tat-Seng Chua

NeurIPS 2024 StrategyLLM: Large Language Models as Strategy Generators, Executors, Optimizers, and Evaluators for Problem Solving Chang Gao, Haiyun Jiang, Deng Cai, Shuming Shi, Wai Lam

IJCAI 2023 A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects Yang Deng, Wenqiang Lei, Wai Lam, Tat-Seng Chua

NeurIPS 2023 From Cloze to Comprehension: Retrofitting Pre-Trained Masked Language Models to Pre-Trained Machine Reader Weiwen Xu, Xin Li, Wenxuan Zhang, Meng Zhou, Wai Lam, Luo Si, Lidong Bing

AAAI 2023 On the Effectiveness of Parameter-Efficient Fine-Tuning Zihao Fu, Haoran Yang, Anthony Man-Cho So, Wai Lam, Lidong Bing, Nigel Collier

AAAI 2021 A Theoretical Analysis of the Repetition Problem in Text Generation Zihao Fu, Wai Lam, Anthony Man-Cho So, Bei Shi

ACML 2021 A Two-Stage Training Framework with Feature-Label Matching Mechanism for Learning from Label Proportions Haoran Yang, Wanjing Zhang, Wai Lam

AAAI 2020 Graph Transformer for Graph-to-Sequence Learning Deng Cai, Wai Lam

AAAI 2020 Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen

AAAI 2020 Open Domain Event Text Generation Zihao Fu, Lidong Bing, Wai Lam

AAAI 2020 Relevance-Promoting Language Model for Short-Text Conversation Xin Li, Piji Li, Wei Bi, Xiaojiang Liu, Wai Lam

AAAI 2019 A Unified Model for Opinion Target Extraction and Target Sentiment Prediction Xin Li, Lidong Bing, Piji Li, Wai Lam

AAAI 2019 Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank Qian Yu, Wai Lam

AAAI 2019 Word Embedding as Maximum a Posteriori Estimation Shoaib Jameel, Zihao Fu, Bei Shi, Wai Lam, Steven Schockaert

IJCAI 2018 Aspect Term Extraction with History Attention and Selective Transformation Xin Li, Lidong Bing, Piji Li, Wai Lam, Zhimou Yang

AAAI 2017 Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization Piji Li, Zihao Wang, Wai Lam, Zhaochun Ren, Lidong Bing

IJCAI 2015 A Unified Model for Unsupervised Opinion Spamming Detection Incorporating Text Generality Yinqing Xu, Bei Shi, Wentao Tian, Wai Lam

IJCAI 2015 Reader-Aware Multi-Document Summarization via Sparse Coding Piji Li, Lidong Bing, Wai Lam, Hang Li, Yi Liao

AAAI 2010 Bidirectional Integration of Pipeline Models Xiaofeng Yu, Wai Lam

AAAI 2008 An Unsupervised Approach for Product Record Normalization Across Different Web Sites Tak-Lam Wong, Tik-Shun Wong, Wai Lam

AAAI 2008 Hidden Dynamic Probabilistic Models for Labeling Sequence Data Xiaofeng Yu, Wai Lam

IJCAI 1997 Using a Bayesian Network Induction Approach for Text Categorization Wai Lam, Kon Fan Low, Chao Yang Ho

AAAI 1994 Abstraction in Bayesian Belief Networks and Automatic Discovery from past Inference Sessions Wai Lam

UAI 1994 Using New Data to Refine a Bayesian Network Wai Lam, Fahiem Bacchus

UAI 1993 Using Causal Information and Local Measures to Learn Bayesian Networks Wai Lam, Fahiem Bacchus