| 2026 | AAAI | UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning. | Tiancheng Gu, Kaicheng Yang, Kaichen Zhang, Xiang An, Ziyong Feng, Yueyi Zhang, Weidong Cai, Jiankang Deng, Lidong Bing |
| 2026 | ACL | EverMemOS: A Self-Organizing Memory Operating System for Structured Long-Horizon Reasoning. | Chuanrui Hu, Xingze Gao, Zuyi Zhou, Dannong Xu, Yi Bai, Xintong Li, Hui Zhang, Tong Li, Chong Zhang, Lidong Bing, Yafeng Deng |
| 2026 | ACL | Revisiting Self-Play Preference Optimization: On the Role of Prompt Difficulty. | Yao Xiao, Jung-jae Kim, Roy Ka-Wei Lee, Lidong Bing |
| 2025 | ACL | FineReason: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving. | Guizhen Chen, Weiwen Xu, Hao Zhang, Hou Pong Chan, Chaoqun Liu, Lidong Bing, Deli Zhao, Anh Tuan Luu, Yu Rong |
| 2025 | ACL | Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks. | Xingxuan Li, Weiwen Xu, Ruochen Zhao, Fangkai Jiao, Shafiq Joty, Lidong Bing |
| 2025 | ACL | Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations. | Chenghao Xiao, Hou Pong Chan, Hao Zhang, Mahani Aljunied, Lidong Bing, Noura Al Moubayed, Yu Rong |
| 2025 | ACL | Finding the Sweet Spot: Preference Data Construction for Scaling Preference Optimization. | Yao Xiao, Hai Ye, Linyao Chen, Hwee Tou Ng, Lidong Bing, Xiaoli Li, Roy Ka-Wei Lee |
| 2025 | ACL | Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee Discussions. | Ruochen Zhao, Wenxuan Zhang, Yew Ken Chia, Weiwen Xu, Deli Zhao, Lidong Bing |
| 2025 | ACL | Pruning General Large Language Models into Customized Expert Models. | Yiran Zhao, Guizhen Chen, Kenji Kawaguchi, Lidong Bing, Wenxuan Zhang |
| 2025 | COLING | Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels. | Chaoqun Liu, Qin Chao, Wenxuan Zhang, Xiaobao Wu, Boyang Li, Anh Tuan Luu, Lidong Bing |
| 2025 | CVPR | Breaking the Memory Barrier of Contrastive Loss via Tile-Based Strategy. | Zesen Cheng, Hang Zhang, Kehan Li, Sicong Leng, Zhiqiang Hu, Fei Wu, Deli Zhao, Xin Li, Lidong Bing |
| 2025 | CVPR | ECBench: Can Multi-modal Foundation Models Understand the Egocentric World? A Holistic Embodied Cognition Benchmark. | Ronghao Dang, Yuqian Yuan, Wenqi Zhang, Yifei Xin, Boqiang Zhang, Long Li, Liuyi Wang, Qinyang Zeng, Xin Li, Lidong Bing |
| 2025 | CVPR | VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM. | Yuqian Yuan, Hang Zhang, Wentong Li, Zesen Cheng, Boqiang Zhang, Long Li, Xin Li, Deli Zhao, Wenqiao Zhang, Yueting Zhuang, Jianke Zhu, Lidong Bing |
| 2025 | EMNLP | M-LongDoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework. | Yew Ken Chia, Liying Cheng, Hou Pong Chan, Maojia Song, Chaoqun Liu, Mahani Aljunied, Soujanya Poria, Lidong Bing |
| 2025 | EMNLP | Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents. | Long Li, Weiwen Xu, Jiayan Guo, Ruochen Zhao, Xingxuan Li, Yuqian Yuan, Boqiang Zhang, Yuming Jiang, Yifei Xin, Ronghao Dang, Yu Rong, Deli Zhao, Tian Feng, Lidong Bing |
| 2025 | ICCV | 2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining. | Wenqi Zhang, Hang Zhang, Xin Li, Jiashuo Sun, Yongliang Shen, Weiming Lu, Deli Zhao, Yueting Zhuang, Lidong Bing |
| 2025 | ICLR | LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization. | Guanzheng Chen, Xin Li, Michael Shieh, Lidong Bing |
| 2025 | ICML | Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective. | Jianyu Wang, Zhiqiang Hu, Lidong Bing |
| 2025 | NAACL | SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages. | Wenxuan Zhang, Hou Pong Chan, Yiran Zhao, Mahani Aljunied, Jianyu Wang, Chaoqun Liu, Yue Deng, Zhiqiang Hu, Weiwen Xu, Yew Ken Chia, Xin Li, Lidong Bing |
| 2025 | NAACL | ParaICL: Towards Parallel In-Context Learning. | Xingxuan Li, Xuan-Phi Nguyen, Shafiq Joty, Lidong Bing |
| 2025 | NAACL | SeaExam and SeaBench: Benchmarking LLMs with Local Multilingual Questions in Southeast Asia. | Chaoqun Liu, Wenxuan Zhang, Jiahao Ying, Mahani Aljunied, Anh Tuan Luu, Lidong Bing |
| 2025 | NAACL | Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models. | Chaoqun Liu, Wenxuan Zhang, Yiran Zhao, Anh Tuan Luu, Lidong Bing |
| 2025 | NAACL | Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs. | Sen Yang, Xin Li, Leyang Cui, Lidong Bing, Wai Lam |
| 2025 | NAACL | AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging. | Yiran Zhao, Wenxuan Zhang, Huiming Wang, Kenji Kawaguchi, Lidong Bing |
| 2024 | ACL | Exploring the Potential of Large Language Models in Computational Argumentation. | Guizhen Chen, Liying Cheng, Anh Tuan Luu, Lidong Bing |
| 2024 | ACL | PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns. | Yew Ken Chia, Vernon Toh, Deepanway Ghosal, Lidong Bing, Soujanya Poria |
| 2024 | ACL | SeaLLMs - Large Language Models for Southeast Asia. | Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, Mahani Aljunied, Zhiqiang Hu, Chenhui Shen, Yew Ken Chia, Xingxuan Li, Jianyu Wang, Qingyu Tan, Liying Cheng, Guanzheng Chen, Yue Deng, Sen Yang, Chaoqun Liu, Hang Zhang, Lidong Bing |
| 2024 | ACL | Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts. | Xuan-Phi Nguyen, Mahani Aljunied, Shafiq Joty, Lidong Bing |
| 2024 | ACL | Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning. | Qingyu Tan, Hwee Tou Ng, Lidong Bing |
| 2024 | ACL | Order-Agnostic Data Augmentation for Few-Shot Named Entity Recognition. | Huiming Wang, Liying Cheng, Wenxuan Zhang, De Wen Soh, Lidong Bing |
| 2024 | CVPR | Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding. | Sicong Leng, Hang Zhang, Guanzheng Chen, Xin Li, Shijian Lu, Chunyan Miao, Lidong Bing |
| 2024 | EMNLP | Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths. | Yew Ken Chia, Guizhen Chen, Weiwen Xu, Anh Tuan Luu, Soujanya Poria, Lidong Bing |
| 2024 | EMNLP | Evaluating Psychological Safety of Large Language Models. | Xingxuan Li, Yutong Li, Lin Qiu, Shafiq Joty, Lidong Bing |
| 2024 | EMNLP | AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation. | Ziyang Luo, Xin Li, Hongzhan Lin, Jing Ma, Lidong Bing |
| 2024 | EMNLP | Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models. | Wenhao Shi, Zhiqiang Hu, Yi Bin, Junhua Liu, Yang Yang, See-Kiong Ng, Lidong Bing, Roy Ka-Wei Lee |
| 2024 | ICLR | Multilingual Jailbreak Challenges in Large Language Models. | Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing |
| 2024 | ICLR | CLEX: Continuous Length Extrapolation for Large Language Models. | Guanzheng Chen, Xin Li, Zaiqiao Meng, Shangsong Liang, Lidong Bing |
| 2024 | ICLR | Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources. | Xingxuan Li, Ruochen Zhao, Yew Ken Chia, Bosheng Ding, Shafiq Joty, Soujanya Poria, Lidong Bing |
| 2024 | NAACL | Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning. | Huiming Wang, Zhaodonghui Li, Liying Cheng, De Wen Soh, Lidong Bing |
| 2024 | NAACL | Sentiment Analysis in the Era of Large Language Models: A Reality Check. | Wenxuan Zhang, Yue Deng, Bing Liu, Sinno Jialin Pan, Lidong Bing |
| 2023 | AAAI | On the Effectiveness of Parameter-Efficient Fine-Tuning. | Zihao Fu, Haoran Yang, Anthony Man-Cho So, Wai Lam, Lidong Bing, Nigel Collier |
| 2023 | ACL | Reasoning Implicit Sentiment with Chain-of-Thought Prompting. | Hao Fei, Bobo Li, Qian Liu, Lidong Bing, Fei Li, Tat-Seng Chua |
| 2023 | ACL | Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning. | Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Chunyan Miao |
| 2023 | ACL | Sampling Better Negatives for Distantly Supervised Named Entity Recognition. | Lu Xu, Lidong Bing, Wei Lu |
| 2023 | ACL | Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis. | Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing |
| 2023 | ACL | Is GPT-3 a Good Data Annotator? | Bosheng Ding, Chengwei Qin, Linlin Liu, Yew Ken Chia, Boyang Li, Shafiq Joty, Lidong Bing |
| 2023 | ACL | Easy-to-Hard Learning for Information Extraction. | Chang Gao, Wenxuan Zhang, Wai Lam, Lidong Bing |
| 2023 | ACL | AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach. | Jia Guo, Liying Cheng, Wenxuan Zhang, Stanley Kok, Xin Li, Lidong Bing |
| 2023 | ACL | Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations. | Linlin Liu, Xingxuan Li, Megh Thakkar, Xin Li, Shafiq Joty, Luo Si, Lidong Bing |
| 2023 | ACL | Zero-Shot Text Classification via Self-Supervised Tuning. | Chaoqun Liu, Wenxuan Zhang, Guizhen Chen, Xiaobao Wu, Anh Tuan Luu, Chip-Hong Chang, Lidong Bing |
| 2023 | ACL | Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction. | Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy Nguyen, Zhen Hai, Lidong Bing, Anh Tuan Luu |
| 2023 | ACL | Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data. | Qingyu Tan, Lu Xu, Lidong Bing, Hwee Tou Ng |
| 2023 | ACL | Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models. | Qingyu Tan, Hwee Tou Ng, Lidong Bing |
| 2023 | ACL | Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling. | Shengqiong Wu, Hao Fei, Yixin Cao, Lidong Bing, Tat-Seng Chua |
| 2023 | ACL | PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks. | Weiwen Xu, Xin Li, Yang Deng, Wai Lam, Lidong Bing |
| 2023 | ACL | mPMR: A Multilingual Pre-trained Machine Reader at Scale. | Weiwen Xu, Xin Li, Wai Lam, Lidong Bing |
| 2023 | ACL | Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework. | Ruochen Zhao, Xingxuan Li, Shafiq Joty, Chengwei Qin, Lidong Bing |
| 2023 | ACL | Enhancing Cross-lingual Prompting with Dual Prompt Augmentation. | Meng Zhou, Xin Li, Yue Jiang, Lidong Bing |
| 2023 | EACL | Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction. | Jia Guo, Stanley Kok, Lidong Bing |
| 2023 | EMNLP | SOUL: Towards Sentiment and Opinion Understanding of Language. | Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing |
| 2023 | EMNLP | Is GPT-4 a Good Data Analyst? | Liying Cheng, Xingxuan Li, Lidong Bing |
| 2023 | EMNLP | LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models. | Zhiqiang Hu, Lei Wang, Yihuai Lan, Wanyu Xu, Ee-Peng Lim, Lidong Bing, Xing Xu, Soujanya Poria, Roy Ka-Wei Lee |
| 2023 | EMNLP | Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization. | Chenhui Shen, Liying Cheng, Xuan-Phi Nguyen, Yang You, Lidong Bing |
| 2023 | EMNLP | A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization. | Chenhui Shen, Liying Cheng, Xuan-Phi Nguyen, Yang You, Lidong Bing |
| 2023 | EMNLP | Once Upon a Time in Graph: Relative-Time Pretraining for Complex Temporal Reasoning. | Sen Yang, Xin Li, Lidong Bing, Wai Lam |
| 2023 | EMNLP | Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding. | Hang Zhang, Xin Li, Lidong Bing |
| 2022 | ACL | IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks. | Liying Cheng, Lidong Bing, Ruidan He, Qian Yu, Yan Zhang, Luo Si |
| 2022 | ACL | RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. | Yew Ken Chia, Lidong Bing, Soujanya Poria, Luo Si |
| 2022 | ACL | GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems. | Bosheng Ding, Junjie Hu, Lidong Bing, Sharifah Mahani Aljunied, Shafiq R. Joty, Luo Si, Chunyan Miao |
| 2022 | ACL | MReD: A Meta-Review Dataset for Structure-Controllable Text Generation. | Chenhui Shen, Liying Cheng, Ran Zhou, Lidong Bing, Yang You, Luo Si |
| 2022 | ACL | Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation. | Qingyu Tan, Ruidan He, Lidong Bing, Hwee Tou Ng |
| 2022 | ACL | MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER. | Ran Zhou, Xin Li, Ruidan He, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao |
| 2022 | COLING | SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning. | Wei Han, Hui Chen, Zhen Hai, Soujanya Poria, Lidong Bing |
| 2022 | COLING | Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings. | Linlin Liu, Thien Hai Nguyen, Shafiq R. Joty, Lidong Bing, Luo Si |
| 2022 | COLING | Domain Generalization for Text Classification with Memory-Based Supervised Contrastive Learning. | Qingyu Tan, Ruidan He, Lidong Bing, Hwee Tou Ng |
| 2022 | EMNLP | Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation. | Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam |
| 2022 | EMNLP | A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach. | Yew Ken Chia, Lidong Bing, Sharifah Mahani Aljunied, Luo Si, Soujanya Poria |
| 2022 | EMNLP | Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples. | Linlin Liu, Xin Li, Ruidan He, Lidong Bing, Shafiq R. Joty, Luo Si |
| 2022 | EMNLP | Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction. | Thong Nguyen, Xiaobao Wu, Anh Tuan Luu, Zhen Hai, Lidong Bing |
| 2022 | EMNLP | SentBS: Sentence-level Beam Search for Controllable Summarization. | Chenhui Shen, Liying Cheng, Lidong Bing, Yang You, Luo Si |
| 2022 | EMNLP | Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction. | Qingyu Tan, Lu Xu, Lidong Bing, Hwee Tou Ng, Sharifah Mahani Aljunied |
| 2022 | EMNLP | Interventional Training for Out-Of-Distribution Natural Language Understanding. | Sicheng Yu, Jing Jiang, Hao Zhang, Yulei Niu, Qianru Sun, Lidong Bing |
| 2022 | EMNLP | ConNER: Consistency Training for Cross-lingual Named Entity Recognition. | Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao |
| 2021 | AAAI | Exploring Auxiliary Reasoning Tasks for Task-oriented Dialog Systems with Meta Cooperative Learning. | Bowen Qin, Min Yang, Lidong Bing, Qingshan Jiang, Chengming Li, Ruifeng Xu |
| 2021 | ACL | Bootstrapped Unsupervised Sentence Representation Learning. | Yan Zhang, Ruidan He, Zuozhu Liu, Lidong Bing, Haizhou Li |
| 2021 | ACL | Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding. | Liying Cheng, Tianyu Wu, Lidong Bing, Luo Si |
| 2021 | ACL | On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation. | Ruidan He, Linlin Liu, Hai Ye, Qingyu Tan, Bosheng Ding, Liying Cheng, Jia-Wei Low, Lidong Bing, Luo Si |
| 2021 | ACL | MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER. | Linlin Liu, Bosheng Ding, Lidong Bing, Shafiq R. Joty, Luo Si, Chunyan Miao |
| 2021 | ACL | Multi-perspective Coherent Reasoning for Helpfulness Prediction of Multimodal Reviews. | Junhao Liu, Zhen Hai, Min Yang, Lidong Bing |
| 2021 | ACL | Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction. | Lu Xu, Yew Ken Chia, Lidong Bing |
| 2021 | ACL | Towards Generative Aspect-Based Sentiment Analysis. | Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, Wai Lam |
| 2021 | EMNLP | Multilingual AMR Parsing with Noisy Knowledge Distillation. | Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam |
| 2021 | EMNLP | Aspect Sentiment Quad Prediction as Paraphrase Generation. | Wenxuan Zhang, Yang Deng, Xin Li, Yifei Yuan, Lidong Bing, Wai Lam |
| 2021 | EMNLP | Aspect-based Sentiment Analysis in Question Answering Forums. | Wenxuan Zhang, Yang Deng, Xin Li, Lidong Bing, Wai Lam |
| 2021 | EMNLP | Cross-lingual Aspect-based Sentiment Analysis with Aspect Term Code-Switching. | Wenxuan Zhang, Ruidan He, Haiyun Peng, Lidong Bing, Wai Lam |
| 2021 | NAACL | Better Feature Integration for Named Entity Recognition. | Lu Xu, Zhanming Jie, Wei Lu, Lidong Bing |
| 2020 | AAAI | Open Domain Event Text Generation. | Zihao Fu, Lidong Bing, Wai Lam |
| 2020 | AAAI | Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce. | Juntao Li, Chang Liu, Jian Wang, Lidong Bing, Hongsong Li, Xiaozhong Liu, Dongyan Zhao, Rui Yan |
| 2020 | AAAI | Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis. | Haiyun Peng, Lu Xu, Lidong Bing, Fei Huang, Wei Lu, Luo Si |
| 2020 | AAAI | GRET: Global Representation Enhanced Transformer. | Rongxiang Weng, Hao-Ran Wei, Shujian Huang, Heng Yu, Lidong Bing, Weihua Luo, Jiajun Chen |
| 2020 | ACL | Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling. | Canasai Kruengkrai, Thien Hai Nguyen, Sharifah Aljunied Mahani, Lidong Bing |
| 2020 | ACL | Review-based Question Generation with Adaptive Instance Transfer and Augmentation. | Qian Yu, Lidong Bing, Qiong Zhang, Wai Lam, Luo Si |
| 2020 | COLING | Dynamic Topic Tracker for KB-to-Text Generation. | Zihao Fu, Lidong Bing, Wai Lam, Shoaib Jameel |
| 2020 | EMNLP | APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning. | Liying Cheng, Lidong Bing, Qian Yu, Wei Lu, Luo Si |
| 2020 | EMNLP | ENT-DESC: Entity Description Generation by Exploring Knowledge Graph. | Liying Cheng, Dekun Wu, Lidong Bing, Yan Zhang, Zhanming Jie, Wei Lu, Luo Si |
| 2020 | EMNLP | DAGA: Data Augmentation with a Generation Approach forLow-resource Tagging Tasks. | Bosheng Ding, Linlin Liu, Lidong Bing, Canasai Kruengkrai, Thien Hai Nguyen, Shafiq R. Joty, Luo Si, Chunyan Miao |
| 2020 | EMNLP | Partially-Aligned Data-to-Text Generation with Distant Supervision. | Zihao Fu, Bei Shi, Wai Lam, Lidong Bing, Zhiyuan Liu |
| 2020 | EMNLP | Aspect Sentiment Classification with Aspect-Specific Opinion Spans. | Lu Xu, Lidong Bing, Wei Lu, Fei Huang |
| 2020 | EMNLP | Position-Aware Tagging for Aspect Sentiment Triplet Extraction. | Lu Xu, Hao Li, Wei Lu, Lidong Bing |
| 2020 | EMNLP | Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training. | Hai Ye, Qingyu Tan, Ruidan He, Juntao Li, Hwee Tou Ng, Lidong Bing |
| 2020 | EMNLP | Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation. | Yan Zhang, Zhijiang Guo, Zhiyang Teng, Wei Lu, Shay B. Cohen, Zuozhu Liu, Lidong Bing |
| 2020 | EMNLP | An Unsupervised Sentence Embedding Method by Mutual Information Maximization. | Yan Zhang, Ruidan He, Zuozhu Liu, Kwan Hui Lim, Lidong Bing |
| 2020 | IJCAI | Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model. | Juntao Li, Ruidan He, Hai Ye, Hwee Tou Ng, Lidong Bing, Rui Yan |
| 2020 | IJCNLP | Unsupervised KB-to-Text Generation with Auxiliary Triple Extraction using Dual Learning. | Zihao Fu, Bei Shi, Lidong Bing, Wai Lam |
| 2019 | AAAI | Generating Distractors for Reading Comprehension Questions from Real Examinations. | Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu |
| 2019 | AAAI | Abstractive Text Summarization by Incorporating Reader Comments. | Shen Gao, Xiuying Chen, Piji Li, Zhaochun Ren, Lidong Bing, Dongyan Zhao, Rui Yan |
| 2019 | AAAI | A Unified Model for Opinion Target Extraction and Target Sentiment Prediction. | Xin Li, Lidong Bing, Piji Li, Wai Lam |
| 2019 | AAAI | Learning to Write Stories with Thematic Consistency and Wording Novelty. | Juntao Li, Lidong Bing, Lisong Qiu, Dongmin Chen, Dongyan Zhao, Rui Yan |
| 2019 | EMNLP | A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis. | Chuang Fan, Hongyu Yan, Jiachen Du, Lin Gui, Lidong Bing, Min Yang, Ruifeng Xu, Ruibin Mao |
| 2019 | EMNLP | Who Is Speaking to Whom? Learning to Identify Utterance Addressee in Multi-Party Conversations. | Ran Le, Wenpeng Hu, Mingyue Shang, Zhenjun You, Lidong Bing, Dongyan Zhao, Rui Yan |
| 2019 | EMNLP | Improving Question Generation With to the Point Context. | Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu |
| 2019 | EMNLP | Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning. | Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang |
| 2019 | EMNLP | Hierarchical Pointer Net Parsing. | Linlin Liu, Xiang Lin, Shafiq R. Joty, Simeng Han, Lidong Bing |
| 2019 | EMNLP | Semi-supervised Text Style Transfer: Cross Projection in Latent Space. | Mingyue Shang, Piji Li, Zhenxin Fu, Lidong Bing, Dongyan Zhao, Shuming Shi, Rui Yan |
| 2019 | EMNLP | Using Customer Service Dialogues for Satisfaction Analysis with Context-Assisted Multiple Instance Learning. | Kaisong Song, Lidong Bing, Wei Gao, Jun Lin, Lujun Zhao, Jiancheng Wang, Changlong Sun, Xiaozhong Liu, Qi Zhang |
| 2019 | EMNLP | Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion. | Zihao Wang, Kwun Ping Lai, Piji Li, Lidong Bing, Wai Lam |
| 2019 | IJCAI | Difficulty Controllable Generation of Reading Comprehension Questions. | Yifan Gao, Lidong Bing, Wang Chen, Michael R. Lyu, Irwin King |
| 2019 | NAACL | An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction. | Wang Chen, Hou Pong Chan, Piji Li, Lidong Bing, Irwin King |
| 2019 | WWW | Persona-Aware Tips Generation? | Piji Li, Zihao Wang, Lidong Bing, Wai Lam |
| 2018 | ACL | Transformation Networks for Target-Oriented Sentiment Classification. | Xin Li, Lidong Bing, Wai Lam, Bei Shi |
| 2018 | ACL | Learning Domain-Sensitive and Sentiment-Aware Word Embeddings. | Bei Shi, Zihao Fu, Lidong Bing, Wai Lam |
| 2018 | EMNLP | Hybrid Neural Attention for Agreement/Disagreement Inference in Online Debates. | Di Chen, Jiachen Du, Lidong Bing, Ruifeng Xu |
| 2018 | EMNLP | Variational Autoregressive Decoder for Neural Response Generation. | Jiachen Du, Wenjie Li, Yulan He, Ruifeng Xu, Lidong Bing, Xuan Wang |
| 2018 | EMNLP | QuaSE: Sequence Editing under Quantifiable Guidance. | Yi Liao, Lidong Bing, Piji Li, Shuming Shi, Wai Lam, Tong Zhang |
| 2018 | EMNLP | Estimating Marginal Probabilities of n-grams for Recurrent Neural Language Models. | Thanapon Noraset, Doug Downey, Lidong Bing |
| 2018 | IJCAI | Aspect Term Extraction with History Attention and Selective Transformation. | Xin Li, Lidong Bing, Piji Li, Wai Lam, Zhimou Yang |
| 2017 | AAAI | Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured Corpora. | Lidong Bing, Bhuwan Dhingra, Kathryn Mazaitis, Jong Hyuk Park, William W. Cohen |
| 2017 | AAAI | Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization. | Piji Li, Zihao Wang, Wai Lam, Zhaochun Ren, Lidong Bing |
| 2017 | EMNLP | Recurrent Attention Network on Memory for Aspect Sentiment Analysis. | Peng Chen, Zhongqian Sun, Lidong Bing, Wei Yang |
| 2017 | EMNLP | Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset. | Piji Li, Lidong Bing, Wai Lam |
| 2017 | EMNLP | Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization. | Piji Li, Wai Lam, Lidong Bing, Weiwei Guo, Hang Li |
| 2017 | EMNLP | Deep Recurrent Generative Decoder for Abstractive Text Summarization. | Piji Li, Wai Lam, Lidong Bing, Zihao Wang |
| 2017 | IJCAI | Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning. | Lidong Bing, William W. Cohen, Bhuwan Dhingra |
| 2017 | SIGIR | Neural Rating Regression with Abstractive Tips Generation for Recommendation. | Piji Li, Zihao Wang, Zhaochun Ren, Lidong Bing, Wai Lam |
| 2016 | AAAI | Distant IE by Bootstrapping Using Lists and Document Structure. | Lidong Bing, Mingyang Ling, Richard C. Wang, William W. Cohen |
| 2016 | ACL | Detecting Common Discussion Topics Across Culture From News Reader Comments. | Bei Shi, Wai Lam, Lidong Bing, Yinqing Xu |
| 2016 | CIKM | Digesting Multilingual Reader Comments via Latent Discussion Topics with Commonality and Specificity. | Bei Shi, Wai Lam, Lidong Bing, Yinqing Xu |
| 2016 | ICDM | Efficient and Scalable Detection of Overlapping Communities in Big Networks. | Tianshu Lyu, Lidong Bing, Zhao Zhang, Yan Zhang |
| 2015 | ACL | Abstractive Multi-Document Summarization via Phrase Selection and Merging. | Lidong Bing, Piji Li, Yi Liao, Wai Lam, Weiwei Guo, Rebecca J. Passonneau |
| 2015 | CIKM | A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-Rank. | Shoaib Jameel, Wai Lam, Steven Schockaert, Lidong Bing |
| 2015 | ECIR | Nonparametric Topic Modeling Using Chinese Restaurant Franchise with Buddy Customers. | Shoaib Jameel, Wai Lam, Lidong Bing |
| 2015 | EMNLP | Improving Distant Supervision for Information Extraction Using Label Propagation Through Lists. | Lidong Bing, Sneha Chaudhari, Richard C. Wang, William W. Cohen |
| 2015 | IJCAI | Reader-Aware Multi-Document Summarization via Sparse Coding. | Piji Li, Lidong Bing, Wai Lam, Hang Li, Yi Liao |
| 2014 | CICLING | Website Community Mining from Query Logs with Two-Phase Clustering. | Lidong Bing, Wai Lam, Shoaib Jameel, Chunliang Lu |
| 2014 | SIGIR | Web page segmentation with structured prediction and its application in web page classification. | Lidong Bing, Rui Guo, Wai Lam, Zheng-Yu Niu, Haifeng Wang |
| 2013 | CIKM | Towards an enhanced and adaptable ontology by distilling and assembling online encyclopedias. | Shan Jiang, Lidong Bing, Yan Zhang |
| 2013 | CIKM | Structured positional entity language model for enterprise entity retrieval. | Chunliang Lu, Lidong Bing, Wai Lam |
| 2013 | WSDM | Wikipedia entity expansion and attribute extraction from the web using semi-supervised learning. | Lidong Bing, Wai Lam, Tak-Lam Wong |
| 2011 | CIKM | Towards a unified solution: data record region detection and segmentation. | Lidong Bing, Wai Lam, Yuan Gu |
| 2011 | CIKM | Using query log and social tagging to refine queries based on latent topics. | Lidong Bing, Wai Lam, Tak-Lam Wong |
| 2011 | KDD | Ontology enhancement and concept granularity learning: keeping yourself current and adaptive. | Shan Jiang, Lidong Bing, Bai Sun, Yan Zhang, Wai Lam |
| 2011 | WSDM | Normalizing web product attributes and discovering domain ontology with minimal effort. | Tak-Lam Wong, Lidong Bing, Wai Lam |
| 2010 | CIKM | Learning ontology resolution for document representation and its applications in text mining. | Lidong Bing, Bai Sun, Shan Jiang, Yan Zhang, Wai Lam |