Exploiting BERT for End-to-End Aspect-based Sentiment Analysis. - Xin Li 056; Lidong Bing; Wenxuan Zhang 001; Wai Lam (W-NUT@EMNLP, 2019)

Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce. - Yang Deng 002; Wenxuan Zhang 001; Wai Lam (CIKM, 2020)

Intra-/Inter-Interaction Network with Latent Interaction Modeling for Multi-turn Response Selection. - Yang Deng 002; Wenxuan Zhang 001; Wai Lam (COLING, 2020)

Multi-hop Inference for Question-driven Summarization. - Yang Deng 002; Wenxuan Zhang 001; Wai Lam (EMNLP (1), 2020)

AnswerFact: Fact Checking in Product Question Answering. - Wenxuan Zhang 001; Yang Deng 002; Jing Ma 004; Wai Lam (EMNLP (1), 2020)

Answering Product-related Questions with Heterogeneous Information. - Wenxuan Zhang 001; Qian Yu; Wai Lam (AACL/IJCNLP, 2020)

Bridging Hierarchical and Sequential Context Modeling for Question-driven Extractive Answer Summarization. - Yang Deng 002; Wenxuan Zhang 001; Yaliang Li; Min Yang 007; Wai Lam; Ying Shen 001 (SIGIR, 2020)

Answer Ranking for Product-Related Questions via Multiple Semantic Relations Modeling. - Wenxuan Zhang 001; Yang Deng 002; Wai Lam (SIGIR, 2020)

Review-guided Helpful Answer Identification in E-commerce. - Wenxuan Zhang 001; Wai Lam; Yang Deng 002; Jing Ma 004 (WWW, 2020)

Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyond. - Xin Li 056; Lidong Bing; Wenxuan Zhang 001; Zheng Li 018; Wai Lam (CoRR, 2020)

Towards Generative Aspect-Based Sentiment Analysis. - Wenxuan Zhang 001; Xin Li 056; Yang Deng 002; Lidong Bing; Wai Lam (ACL/IJCNLP (2), 2021)

Learning to Rank Question Answer Pairs with Bilateral Contrastive Data Augmentation. - Yang Deng 002; Wenxuan Zhang 001; Wai Lam (W-NUT, 2021)

Aspect Sentiment Quad Prediction as Paraphrase Generation. - Wenxuan Zhang 001; Yang Deng 002; Xin Li 056; Yifei Yuan 002; Lidong Bing; Wai Lam (EMNLP (1), 2021)

Aspect-based Sentiment Analysis in Question Answering Forums. - Wenxuan Zhang 001; Yang Deng 002; Xin Li 056; Lidong Bing; Wai Lam (EMNLP (Findings), 2021)

Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching. - Wenxuan Zhang 001; Ruidan He; Haiyun Peng; Lidong Bing; Wai Lam (EMNLP (1), 2021)

Towards Personalized Answer Generation in E-Commerce via Multi-Perspective Preference Modeling. - Yang Deng 002; Yaliang Li; Wenxuan Zhang 001; Bolin Ding; Wai Lam (CoRR, 2021)

UniGDD: A Unified Generative Framework for Goal-Oriented Document-Grounded Dialogue. - Chang Gao; Wenxuan Zhang 001; Wai Lam (ACL (2), 2022)

PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance. - Yang Deng 002; Wenqiang Lei; Wenxuan Zhang 001; Wai Lam; Tat-Seng Chua (EMNLP, 2022)

Towards Generalizable and Robust Text-to-SQL Parsing. - Chang Gao; Bowen Li 002; Wenxuan Zhang 001; Wai Lam; Binhua Li; Fei Huang 002; Luo Si; Yongbin Li (EMNLP (Findings), 2022)

User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systems. - Yang Deng 002; Wenxuan Zhang 001; Wai Lam; Hong Cheng 001; Helen Meng (WWW, 2022)

A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning. - Paul Janson; Wenxuan Zhang 001; Rahaf Aljundi; Mohamed Elhoseiny (CoRR, 2022)

From Clozing to Comprehending: Retrofitting Pre-trained Language Model to Pre-trained Machine Reader. - Weiwen Xu; Xin Li 056; Wenxuan Zhang 001; Meng Zhou; Lidong Bing; Wai Lam; Luo Si (CoRR, 2022)

Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference Modeling. - Yang Deng 002; Yaliang Li; Wenxuan Zhang 001; Bolin Ding; Wai Lam (ACM Trans. Inf. Syst., 2022)

Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversations. - Yang Deng 002; Wenxuan Zhang 001; Yifei Yuan 002; Wai Lam (ACL (1), 2023)

Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis. - Yue Deng 010; Wenxuan Zhang 001; Sinno Jialin Pan; Lidong Bing (ACL (1), 2023)

Product Question Answering in E-Commerce: A Survey. - Yang Deng 002; Wenxuan Zhang 001; Qian Yu; Wai Lam (ACL (1), 2023)

Easy-to-Hard Learning for Information Extraction. - Chang Gao; Wenxuan Zhang 001; Wai Lam; Lidong Bing (ACL (Findings), 2023)

AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach. - Jia Guo; Liying Cheng; Wenxuan Zhang 001; Stanley Kok; Xin Li 056; Lidong Bing (ACL (Findings), 2023)

Zero-Shot Text Classification via Self-Supervised Tuning. - Chaoqun Liu; Wenxuan Zhang 001; Guizhen Chen; Xiaobao Wu; Anh Tuan Luu; Chip-Hong Chang; Lidong Bing (ACL (Findings), 2023)

SOUL: Towards Sentiment and Opinion Understanding of Language. - Yue Deng 010; Wenxuan Zhang 001; Sinno Jialin Pan; Lidong Bing (EMNLP, 2023)

Continual Zero-Shot Learning through Semantically Guided Generative Random Walks. - Wenxuan Zhang 001; Paul Janson; Kai Yi; Ivan Skorokhodov; Mohamed Elhoseiny (ICCV, 2023)

SLAMB: Accelerated Large Batch Training with Sparse Communication. - Hang Xu; Wenxuan Zhang 001; Jiawei Fei; Yuzhe Wu; Tingwen Xie; Jun Huang; Yuchen Xie; Mohamed Elhoseiny; Panos Kalnis (ICML, 2023)

From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader. - Weiwen Xu; Xin Li 056; Wenxuan Zhang 001; Meng Zhou; Wai Lam; Luo Si; Lidong Bing (NeurIPS, 2023)

M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models. - Wenxuan Zhang 001; Mahani Aljunied; Chang Gao; Yew Ken Chia; Lidong Bing (NeurIPS, 2023)

Multimodal Fashion Knowledge Extraction as Captioning. - Yifei Yuan 002; Wenxuan Zhang 001; Yang Deng 002; Wai Lam (SIGIR-AP, 2023)

Enhancing Few-shot NER with Prompt Ordering based Data Augmentation. - Huiming Wang; Liying Cheng; Wenxuan Zhang 001; De Wen Soh; Lidong Bing (CoRR, 2023)

M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models. - Wenxuan Zhang 001; Sharifah Mahani Aljunied; Chang Gao; Yew Ken Chia; Lidong Bing (CoRR, 2023)

Overcoming General Knowledge Loss with Selective Parameter Finetuning. - Wenxuan Zhang 001; Paul Janson; Rahaf Aljundi; Mohamed Elhoseiny (CoRR, 2023)

Social Media Fashion Knowledge Extraction as Captioning. - Yifei Yuan 002; Wenxuan Zhang 001; Yang Deng 002; Wai Lam (CoRR, 2023)

SeaLLMs - Large Language Models for Southeast Asia. - Xuan-Phi Nguyen; Wenxuan Zhang 001; Xin Li 056; Mahani Aljunied; Qingyu Tan; Liying Cheng; Guanzheng Chen; Yue Deng 010; Sen Yang 005; Chaoqun Liu; Hang Zhang; Lidong Bing (CoRR, 2023)

Label Delay in Continual Learning. - Botos Csaba; Wenxuan Zhang 001; Matthias Müller 011; Ser-Nam Lim; Mohamed Elhoseiny; Philip H. S. Torr; Adel Bibi (CoRR, 2023)

A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems. - Yang Deng 002; Wenxuan Zhang 001; Weiwen Xu; Wenqiang Lei; Tat-Seng Chua; Wai Lam (ACM Trans. Inf. Syst., 2023)

A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges. - Wenxuan Zhang 001; Xin Li 056; Yang Deng 002; Lidong Bing; Wai Lam (IEEE Trans. Knowl. Data Eng., 2023)

On the Multi-turn Instruction Following for Conversational Web Agents. - Yang Deng 002; Xuan Zhang; Wenxuan Zhang 001; Yifei Yuan 002; See-Kiong Ng; Tat-Seng Chua (ACL (1), 2024)

Order-Agnostic Data Augmentation for Few-Shot Named Entity Recognition. - Huiming Wang; Liying Cheng; Wenxuan Zhang 001; De Wen Soh; Lidong Bing (ACL (1), 2024)

Overcoming Generic Knowledge Loss with Selective Parameter Update. - Wenxuan Zhang 001; Paul Janson; Rahaf Aljundi; Mohamed Elhoseiny (CVPR, 2024)

Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents. - Yang Deng 002; Wenxuan Zhang 001; Wai Lam; See-Kiong Ng; Tat-Seng Chua (ICLR, 2024)

Multilingual Jailbreak Challenges in Large Language Models. - Yue Deng 010; Wenxuan Zhang 001; Sinno Jialin Pan; Lidong Bing (ICLR, 2024)

Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation. - Wenxuan Zhang 001; Youssef Mohamed; Bernard Ghanem; Philip Torr 001; Adel Bibi; Mohamed Elhoseiny (ICLR, 2024)

Sentiment Analysis in the Era of Large Language Models: A Reality Check. - Wenxuan Zhang 001; Yue Deng 010; Bing Liu 001; Sinno Jialin Pan; Lidong Bing (NAACL-HLT (Findings), 2024)

How do Large Language Models Handle Multilingualism? - Yiran Zhao 006; Wenxuan Zhang 001; Guizhen Chen; Kenji Kawaguchi; Lidong Bing (NeurIPS, 2024)

Label Delay in Online Continual Learning. - Botos Csaba; Wenxuan Zhang 001; Matthias Müller 011; Ser Nam Lim; Philip Torr 001; Adel Bibi (NeurIPS, 2024)

Auto Arena of LLMs: Automating LLM Evaluations with Agent Peer-battles and Committee Discussions. - Ruochen Zhao; Wenxuan Zhang 001; Yew Ken Chia; Deli Zhao; Lidong Bing (CoRR, 2024)

SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages. - Wenxuan Zhang 001; Hou Pong Chan; Yiran Zhao 006; Mahani Aljunied; Jianyu Wang; Chaoqun Liu; Yue Deng 010; Zhiqiang Hu; Weiwen Xu; Yew Ken Chia; Xin Li 056; Lidong Bing (CoRR, 2024)

ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions. - Deyao Zhu; Jun Chen 021; Kilichbek Haydarov; Xiaoqian Shen; Wenxuan Zhang 001; Mohamed Elhoseiny (Trans. Mach. Learn. Res., 2024)

Nonfactoid Question Answering as Query-Focused Summarization With Graph-Enhanced Multihop Inference. - Yang Deng 002; Wenxuan Zhang 001; Weiwen Xu; Ying Shen 001; Wai Lam (IEEE Trans. Neural Networks Learn. Syst., 2024)

FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models. - Hongzhan Lin 001; Yang Deng 002; Yuxuan Gu; Wenxuan Zhang 001; Jing Ma 004; See-Kiong Ng; Tat-Seng Chua (ACL (1), 2025)

JsonTuning: Towards Generalizable, Robust, and Controllable Instruction Tuning. - Chang Gao; Wenxuan Zhang 001; Guizhen Chen; Wai Lam (ACL (Findings), 2025)

Knowledge Boundary of Large Language Models: A Survey. - Moxin Li; Yong Zhao; Wenxuan Zhang 001; Shuaiyi Li; Wenya Xie; See-Kiong Ng; Tat-Seng Chua; Yang Deng 002 (ACL (1), 2025)

Disentangling Language and Culture for Evaluating Multilingual Large Language Models. - Jiahao Ying; Wei Tang 015; Yiran Zhao 006; Yixin Cao 006; Yu Rong; Wenxuan Zhang 001 (ACL (1), 2025)

Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee Discussions. - Ruochen Zhao; Wenxuan Zhang 001; Yew Ken Chia; Weiwen Xu; Deli Zhao; Lidong Bing (ACL (1), 2025)

Pruning General Large Language Models into Customized Expert Models. - Yiran Zhao 006; Guizhen Chen; Kenji Kawaguchi; Lidong Bing; Wenxuan Zhang 001 (ACL (Findings), 2025)

MPO: Multilingual Safety Alignment via Reward Gap Optimization. - Weixiang Zhao; Yulin Hu; Yang Deng 002; Tongtong Wu; Wenxuan Zhang 001; Jiahe Guo; An Zhang 003; Yanyan Zhao; Bing Qin 001; Tat-Seng Chua; Ting Liu 001 (ACL (1), 2025)

Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels. - Chaoqun Liu; Qin Chao; Wenxuan Zhang 001; Xiaobao Wu; Boyang Li 001; Anh Tuan Luu; Lidong Bing (COLING, 2025)

Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models. - Wenxuan Zhang 001; Philip Torr 001; Mohamed Elhoseiny; Adel Bibi (ICLR, 2025)

Understanding and Enhancing Safety Mechanisms of LLMs via Safety-Specific Neuron. - Yiran Zhao 006; Wenxuan Zhang 001; Yuxi Xie; Anirudh Goyal; Kenji Kawaguchi; Michael Shieh (ICLR, 2025)

SeaExam and SeaBench: Benchmarking LLMs with Local Multilingual Questions in Southeast Asia. - Chaoqun Liu; Wenxuan Zhang 001; Jiahao Ying; Mahani Aljunied; Anh Tuan Luu; Lidong Bing (NAACL (Findings), 2025)

Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models. - Chaoqun Liu; Wenxuan Zhang 001; Yiran Zhao 006; Anh Tuan Luu; Lidong Bing (NAACL (Long Papers), 2025)

AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging. - Yiran Zhao 006; Wenxuan Zhang 001; Huiming Wang; Kenji Kawaguchi; Lidong Bing (NAACL (Long Papers), 2025)

Unveiling Knowledge Boundary of Large Language Models for Trustworthy Information Access. - Yang Deng 002; Moxin Li; Liang Pang; Wenxuan Zhang 001; Wai Lam (SIGIR, 2025)

Babel: Open Multilingual Large Language Models Serving Over 90% of Global Speakers. - Yiran Zhao 006; Chaoqun Liu; Yue Deng 010; Jiahao Ying; Mahani Aljunied; Zhaodonghui Li; Lidong Bing; Hou Pong Chan; Yu Rong; Deli Zhao; Wenxuan Zhang 001 (CoRR, 2025)

Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks. - Yixin Cao 002; Shibo Hong; Xinze Li; Jiahao Ying; Yubo Ma; Haiyuan Liang; Yantao Liu; Zijun Yao 002; Xiaozhi Wang; Dan Huang; Wenxuan Zhang 001; Lifu Huang; et al. (CoRR, 2025)

RAVENEA: A Benchmark for Multimodal Retrieval-Augmented Visual Culture Understanding. - Jiaang Li 002; Yifei Yuan 002; Wenyan Li 001; Mohammad Aliannejadi; Daniel Hershcovich; Anders Søgaard; Ivan Vulic; Wenxuan Zhang 001; Paul Pu Liang; Yang Deng 002; Serge J. Belongie (CoRR, 2025)

When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners. - Weixiang Zhao; Jiahe Guo; Yang Deng 002; Tongtong Wu; Wenxuan Zhang 001; Yulin Hu; Xingyu Sui; Yanyan Zhao; Wanxiang Che; Bing Qin 001; Tat-Seng Chua; Ting Liu 001 (CoRR, 2025)

The Rise of Parameter Specialization for Knowledge Storage in Large Language Models. - Yihuai Hong; Yiran Zhao 006; Wei Tang 015; Yang Deng 002; Yu Rong; Wenxuan Zhang 001 (CoRR, 2025)

Disentangling Language and Culture for Evaluating Multilingual Large Language Models. - Jiahao Ying; Wei Tang 015; Yiran Zhao 006; Yixin Cao 002; Yu Rong; Wenxuan Zhang 001 (CoRR, 2025)

Pruning General Large Language Models into Customized Expert Models. - Yirao Zhao; Guizhen Chen; Kenji Kawaguchi; Lidong Bing; Wenxuan Zhang 001 (CoRR, 2025)

The Emergence of Abstract Thought in Large Language Models Beyond Any Language. - Yuxin Chen; Yiran Zhao 006; Yang Zhang; An Zhang 003; Kenji Kawaguchi; Shafiq Joty; Junnan Li 001; Tat-Seng Chua; Michael Qizhe Shieh; Wenxuan Zhang 001 (CoRR, 2025)