LET: Towards More Precise Clustering of Search Results. - Yi Zhang 012; Lidong Bing; Yexin Wang; Yan Zhang 004 (FSKD (2), 2007)

Primary content extraction with Mountain Model. - Lidong Bing; Yexin Wang; Yan Zhang 004; Hui Wang (CIT, 2008)

Weighting Links Using Lexical and Positional Analysis in Web Ranking. - Yi Zhang 012; Yexin Wang; Lidong Bing; Yan Zhang 004 (WAIM, 2008)

Learning ontology resolution for document representation and its applications in text mining. - Lidong Bing; Bai Sun; Shan Jiang 001; Yan Zhang 004; Wai Lam (CIKM, 2010)

Towards a unified solution: data record region detection and segmentation. - Lidong Bing; Wai Lam; Yuan Gu (CIKM, 2011)

Using query log and social tagging to refine queries based on latent topics. - Lidong Bing; Wai Lam; Tak-Lam Wong (CIKM, 2011)

Ontology enhancement and concept granularity learning: keeping yourself current and adaptive. - Shan Jiang 001; Lidong Bing; Bai Sun; Yan Zhang 004; Wai Lam (KDD, 2011)

Normalizing web product attributes and discovering domain ontology with minimal effort. - Tak-Lam Wong; Lidong Bing; Wai Lam (WSDM, 2011)

Unsupervised Extraction of Popular Product Attributes from Web Sites. - Lidong Bing; Tak-Lam Wong; Wai Lam (AIRS, 2012)

Information discovery from semi-structured record sets on the Web. - Lidong Bing (2012)

Towards an enhanced and adaptable ontology by distilling and assembling online encyclopedias. - Shan Jiang 001; Lidong Bing; Yan Zhang 004 (CIKM, 2013)

Structured positional entity language model for enterprise entity retrieval. - Chunliang Lu; Lidong Bing; Wai Lam (CIKM, 2013)

Wikipedia entity expansion and attribute extraction from the web using semi-supervised learning. - Lidong Bing; Wai Lam; Tak-Lam Wong (WSDM, 2013)

Web Entity Detection for Semi-structured Text Data Records with Unlabeled Data. - Chunliang Lu; Lidong Bing; Wai Lam; Ki Chan; Yuan Gu (Int. J. Comput. Linguistics Appl., 2013)

Robust detection of semi-structured web records using a DOM structure-knowledge-driven model. - Lidong Bing; Wai Lam; Tak-Lam Wong (ACM Trans. Web, 2013)

Website Community Mining from Query Logs with Two-Phase Clustering. - Lidong Bing; Wai Lam; Shoaib Jameel; Chunliang Lu (CICLing (2), 2014)

Web page segmentation with structured prediction and its application in web page classification. - Lidong Bing; Rui Guo; Wai Lam; Zheng-Yu Niu; Haifeng Wang 001 (SIGIR, 2014)

Abstractive Multi-Document Summarization via Phrase Selection and Merging. - Lidong Bing; Piji Li; Yi Liao; Wai Lam; Weiwei Guo; Rebecca J. Passonneau (ACL (1), 2015)

A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-Rank. - Shoaib Jameel; Wai Lam; Steven Schockaert; Lidong Bing (CIKM, 2015)

Nonparametric Topic Modeling Using Chinese Restaurant Franchise with Buddy Customers. - Shoaib Jameel; Wai Lam; Lidong Bing (ECIR, 2015)

Improving Distant Supervision for Information Extraction Using Label Propagation Through Lists. - Lidong Bing; Sneha Chaudhari; Richard C. Wang; William W. Cohen (EMNLP, 2015)

Multilingual Viewpoint Detection from news comments. - Bei Shi; Wai Lam; Lidong Bing; Yinqing Xu (IALP, 2015)

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

Supervised topic models with word order structure for document classification and retrieval learning. - Shoaib Jameel; Wai Lam; Lidong Bing (Inf. Retr. J., 2015)

Adaptive Concept Resolution for document representation and its applications in text mining. - Lidong Bing; Shan Jiang 001; Wai Lam; Yan Zhang 004; Shoaib Jameel (Knowl. Based Syst., 2015)

Web Query Reformulation via Joint Modeling of Latent Topic Dependency and Term Context. - Lidong Bing; Wai Lam; Tak-Lam Wong; Shoaib Jameel (ACM Trans. Inf. Syst., 2015)

Distant IE by Bootstrapping Using Lists and Document Structure. - Lidong Bing; Mingyang Ling 001; Richard C. Wang; William W. Cohen (AAAI, 2016)

Detecting Common Discussion Topics Across Culture From News Reader Comments. - Bei Shi; Wai Lam; Lidong Bing; Yinqing Xu (ACL (1), 2016)

Learning a Semantic Space of Web Search via Session Data. - Lidong Bing; Zheng-Yu Niu; Wai Lam; Haifeng Wang 001 (AIRS, 2016)

Using Graphs of Classifiers to Impose Constraints on Semi-supervised Relation Extraction. - Lidong Bing; William W. Cohen; Bhuwan Dhingra; Richard C. Wang (AKBC@NAACL-HLT, 2016)

Digesting Multilingual Reader Comments via Latent Discussion Topics with Commonality and Specificity. - Bei Shi; Wai Lam; Lidong Bing; Yinqing Xu (CIKM, 2016)

Efficient and Scalable Detection of Overlapping Communities in Big Networks. - Tianshu Lyu; Lidong Bing; Zhao Zhang; Yan Zhang 004 (ICDM, 2016)

CUIS at the NTCIR-12 MobileClick2 Task. - Kwun Ping Lai; Wai Lam; Lidong Bing (NTCIR, 2016)

Unsupervised Extraction of Popular Product Attributes from E-Commerce Web Sites by Considering Customer Reviews. - Lidong Bing; Tak-Lam Wong; Wai Lam (ACM Trans. Internet Techn., 2016)

Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured Corpora. - Lidong Bing; Bhuwan Dhingra; Kathryn Mazaitis; Jong Hyuk Park 004; William W. Cohen (AAAI, 2017)

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

Recurrent Attention Network on Memory for Aspect Sentiment Analysis. - Peng Chen; Zhongqian Sun; Lidong Bing; Wei Yang (EMNLP, 2017)

Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset. - Piji Li; Lidong Bing; Wai Lam (NFiS@EMNLP, 2017)

Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization. - Piji Li; Wai Lam; Lidong Bing; Weiwei Guo; Hang Li (EMNLP, 2017)

Deep Recurrent Generative Decoder for Abstractive Text Summarization. - Piji Li; Wai Lam; Lidong Bing; Zihao Wang (EMNLP, 2017)

Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning. - Lidong Bing; William W. Cohen; Bhuwan Dhingra (IJCAI, 2017)

Neural Rating Regression with Abstractive Tips Generation for Recommendation. - Piji Li; Zihao Wang; Zhaochun Ren; Lidong Bing; Wai Lam (SIGIR, 2017)

Towards a language-independent solution: Knowledge base completion by searching the Web and deriving language pattern. - Lidong Bing; Zhiming Zhang; Wai Lam; William W. Cohen (Knowl. Based Syst., 2017)

Transformation Networks for Target-Oriented Sentiment Classification. - Xin Li 056; Lidong Bing; Wai Lam; Bei Shi (ACL (1), 2018)

Learning Domain-Sensitive and Sentiment-Aware Word Embeddings. - Bei Shi; Zihao Fu; Lidong Bing; Wai Lam (ACL (1), 2018)

Hybrid Neural Attention for Agreement/Disagreement Inference in Online Debates. - Di Chen; Jiachen Du; Lidong Bing; Ruifeng Xu 001 (EMNLP, 2018)

Variational Autoregressive Decoder for Neural Response Generation. - Jiachen Du; Wenjie Li 002; Yulan He 001; Ruifeng Xu 001; Lidong Bing; Xuan Wang 002 (EMNLP, 2018)

QuaSE: Sequence Editing under Quantifiable Guidance. - Yi Liao; Lidong Bing; Piji Li; Shuming Shi 001; Wai Lam; Tong Zhang 001 (EMNLP, 2018)

Estimating Marginal Probabilities of n-grams for Recurrent Neural Language Models. - Thanapon Noraset; Doug Downey; Lidong Bing (EMNLP, 2018)

Aspect Term Extraction with History Attention and Selective Transformation. - Xin Li 056; Lidong Bing; Piji Li; Wai Lam; Zhimou Yang (IJCAI, 2018)

Semi-Supervised Learning with Declaratively Specified Entropy Constraints. - Haitian Sun; William W. Cohen; Lidong Bing (NeurIPS, 2018)

Actor-Critic based Training Framework for Abstractive Summarization. - Piji Li; Lidong Bing; Wai Lam (CoRR, 2018)

Incorporating Pseudo-Parallel Data for Quantifiable Sequence Editing. - Yi Liao; Lidong Bing; Piji Li; Shuming Shi 001; Wai Lam; Tong Zhang 001 (CoRR, 2018)

Difficulty Controllable Question Generation for Reading Comprehension. - Yifan Gao 001; Jianan Wang; Lidong Bing; Irwin King; Michael R. Lyu (CoRR, 2018)

Learning a unified embedding space of web search from large-scale query log. - Lidong Bing; Zheng-Yu Niu; Piji Li; Wai Lam; Haifeng Wang 001 (Knowl. Based Syst., 2018)

Joint Modeling of Participant Influence and Latent Topics for Recommendation in Event-based Social Networks. - Yi Liao; Wai Lam; Lidong Bing; Xin Shen 003 (ACM Trans. Inf. Syst., 2018)

Generating Distractors for Reading Comprehension Questions from Real Examinations. - Yifan Gao 001; Lidong Bing; Piji Li; Irwin King; Michael R. Lyu (AAAI, 2019)

Abstractive Text Summarization by Incorporating Reader Comments. - Shen Gao; Xiuying Chen; Piji Li; Zhaochun Ren; Lidong Bing; Dongyan Zhao 001; Rui Yan 001 (AAAI, 2019)

A Unified Model for Opinion Target Extraction and Target Sentiment Prediction. - Xin Li 056; Lidong Bing; Piji Li; Wai Lam (AAAI, 2019)

Learning to Write Stories with Thematic Consistency and Wording Novelty. - Juntao Li; Lidong Bing; Lisong Qiu; Dongmin Chen; Dongyan Zhao 001; Rui Yan 001 (AAAI, 2019)

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

A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis. - Chuang Fan; Hongyu Yan; Jiachen Du; Lin Gui 003; Lidong Bing; Min Yang 007; Ruifeng Xu 001; Ruibin Mao (EMNLP/IJCNLP (1), 2019)

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 001; Rui Yan 001 (EMNLP/IJCNLP (1), 2019)

Improving Question Generation With to the Point Context. - Jingjing Li 007; Yifan Gao 001; Lidong Bing; Irwin King; Michael R. Lyu (EMNLP/IJCNLP (1), 2019)

Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning. - Zheng Li 018; Xin Li 056; Ying Wei 001; Lidong Bing; Yu Zhang 006; Qiang Yang 001 (EMNLP/IJCNLP (1), 2019)

Hierarchical Pointer Net Parsing. - Linlin Liu; Xiang Lin; Shafiq R. Joty; Simeng Han; Lidong Bing (EMNLP/IJCNLP (1), 2019)

Semi-supervised Text Style Transfer: Cross Projection in Latent Space. - Mingyue Shang; Piji Li; Zhenxin Fu; Lidong Bing; Dongyan Zhao 001; Shuming Shi 001; Rui Yan 001 (EMNLP/IJCNLP (1), 2019)

Using Customer Service Dialogues for Satisfaction Analysis with Context-Assisted Multiple Instance Learning. - Kaisong Song; Lidong Bing; Wei Gao 001; Jun Lin; Lujun Zhao; Jiancheng Wang; Changlong Sun; Xiaozhong Liu; Qi Zhang 001 (EMNLP/IJCNLP (1), 2019)

Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion. - Zihao Wang; Kwun Ping Lai; Piji Li; Lidong Bing; Wai Lam (EMNLP/IJCNLP (1), 2019)

Difficulty Controllable Generation of Reading Comprehension Questions. - Yifan Gao 001; Lidong Bing; Wang Chen; Michael R. Lyu; Irwin King (IJCAI, 2019)

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 (NAACL-HLT (1), 2019)

Persona-Aware Tips Generation? - Piji Li; Zihao Wang; Lidong Bing; Wai Lam (WWW, 2019)

Open Domain Event Text Generation. - Zihao Fu; Lidong Bing; Wai Lam (AAAI, 2020)

Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce. - Juntao Li; Chang Liu 076; Jian Wang; Lidong Bing; Hongsong Li; Xiaozhong Liu; Dongyan Zhao 001; Rui Yan 001 (AAAI, 2020)

Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis. - Haiyun Peng; Lu Xu 007; Lidong Bing; Fei Huang 002; Wei Lu 011; Luo Si (AAAI, 2020)

GRET: Global Representation Enhanced Transformer. - Rongxiang Weng; Hao-Ran Wei; Shujian Huang; Heng Yu 006; Lidong Bing; Weihua Luo; Jiajun Chen 001 (AAAI, 2020)

Improving Low-Resource Named Entity Recognition using Joint Sentence and Token Labeling. - Canasai Kruengkrai; Thien Hai Nguyen; Sharifah Aljunied Mahani; Lidong Bing (ACL, 2020)

Review-based Question Generation with Adaptive Instance Transfer and Augmentation. - Qian Yu; Lidong Bing; Qiong Zhang; Wai Lam; Luo Si (ACL, 2020)

Dynamic Topic Tracker for KB-to-Text Generation. - Zihao Fu; Lidong Bing; Wai Lam; Shoaib Jameel (COLING, 2020)

APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning. - Liying Cheng; Lidong Bing; Qian Yu; Wei Lu 011; Luo Si (EMNLP (1), 2020)

ENT-DESC: Entity Description Generation by Exploring Knowledge Graph. - Liying Cheng; Dekun Wu; Lidong Bing; Yan Zhang 004; Zhanming Jie; Wei Lu 011; Luo Si (EMNLP (1), 2020)

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 (EMNLP (1), 2020)

Partially-Aligned Data-to-Text Generation with Distant Supervision. - Zihao Fu; Bei Shi; Wai Lam; Lidong Bing; Zhiyuan Liu 001 (EMNLP (1), 2020)

Aspect Sentiment Classification with Aspect-Specific Opinion Spans. - Lu Xu 007; Lidong Bing; Wei Lu 011; Fei Huang 002 (EMNLP (1), 2020)

Position-Aware Tagging for Aspect Sentiment Triplet Extraction. - Lu Xu 007; Hao Li; Wei Lu 011; Lidong Bing (EMNLP (1), 2020)

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 (EMNLP (1), 2020)

Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation. - Yan Zhang 004; Zhijiang Guo; Zhiyang Teng; Wei Lu 011; Shay B. Cohen; Zuozhu Liu; Lidong Bing (EMNLP (1), 2020)

An Unsupervised Sentence Embedding Method by Mutual Information Maximization. - Yan Zhang 004; Ruidan He; Zuozhu Liu; Kwan Hui Lim 001; Lidong Bing (EMNLP (1), 2020)

Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model. - Juntao Li; Ruidan He; Hai Ye; Hwee Tou Ng; Lidong Bing; Rui Yan 001 (IJCAI, 2020)

Unsupervised KB-to-Text Generation with Auxiliary Triple Extraction using Dual Learning. - Zihao Fu; Bei Shi; Lidong Bing; Wai Lam (AACL/IJCNLP, 2020)

Salience Estimation with Multi-Attention Learning for Abstractive Text Summarization. - Piji Li; Lidong Bing; Zhongyu Wei; Wai Lam (CoRR, 2020)

Knowledge Graph Empowered Entity Description Generation. - Liying Cheng; Yan Zhang 004; Dekun Wu; Zhanming Jie; Lidong Bing; Wei Lu 011; Luo Si (CoRR, 2020)

Feature Adaptation of Pre-Trained Language Models across Languages and Domains for Text Classification. - Hai Ye; Qingyu Tan; Ruidan He; Juntao Li; Hwee Tou Ng; Lidong Bing (CoRR, 2020)

An Unsupervised Sentence Embedding Method byMutual Information Maximization. - Yan Zhang 004; Ruidan He; Zuozhu Liu; Kwan Hui Lim 001; Lidong Bing (CoRR, 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)

DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks. - Bosheng Ding; Linlin Liu; Lidong Bing; Canasai Kruengkrai; Thien Hai Nguyen; Shafiq R. Joty; Luo Si; Chunyan Miao (CoRR, 2020)

FOX: Fast Overlapping Community Detection Algorithm in Big Weighted Networks. - Tianshu Lyu; Lidong Bing; Zhao Zhang; Yan Zhang 004 (ACM Trans. Soc. Comput., 2020)

Exploring Auxiliary Reasoning Tasks for Task-oriented Dialog Systems with Meta Cooperative Learning. - Bowen Qin; Min Yang 007; Lidong Bing; Qingshan Jiang; Chengming Li; Ruifeng Xu 001 (AAAI, 2021)

Bootstrapped Unsupervised Sentence Representation Learning. - Yan Zhang 004; Ruidan He; Zuozhu Liu; Lidong Bing; Haizhou Li 001 (ACL/IJCNLP (1), 2021)

Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding. - Liying Cheng; Tianyu Wu; Lidong Bing; Luo Si (ACL/IJCNLP (1), 2021)

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 (ACL/IJCNLP (1), 2021)

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 (ACL/IJCNLP (1), 2021)

Multi-perspective Coherent Reasoning for Helpfulness Prediction of Multimodal Reviews. - Junhao Liu 001; Zhen Hai; Min Yang 007; Lidong Bing (ACL/IJCNLP (1), 2021)

Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction. - Lu Xu 007; Yew Ken Chia; Lidong Bing (ACL/IJCNLP (1), 2021)

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

Multilingual AMR Parsing with Noisy Knowledge Distillation. - Deng Cai 002; Xin Li 056; Jackie Chun-Sing Ho; Lidong Bing; Wai Lam (EMNLP (Findings), 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)

Better Feature Integration for Named Entity Recognition. - Lu Xu 007; Zhanming Jie; Wei Lu 011; Lidong Bing (NAACL-HLT, 2021)

Overview of Argumentative Text Understanding for AI Debater Challenge. - Jian Yuan; Liying Cheng; Ruidan He; Yinzi Li; Lidong Bing; Zhongyu Wei; Qin Liu 010; Chenhui Shen; Shuonan Zhang; Changlong Sun; Luo Si; Changjian Jiang; et al. (NLPCC (2), 2021)

Affect Recognition for Multimodal Natural Language Processing. - Soujanya Poria; Yew-Soon Ong; Bing Liu 001; Lidong Bing (Cogn. Comput., 2021)

MELM: Data Augmentation with Masked Entity Language Modeling for Cross-lingual NER. - Ran Zhou 004; Ruidan He; Xin Li 056; Lidong Bing; Erik Cambria; Luo Si; Chunyan Miao (CoRR, 2021)

MReD: A Meta-Review Dataset for Controllable Text Generation. - Chenhui Shen; Liying Cheng; Ran Zhou 004; Lidong Bing; Yang You; Luo Si (CoRR, 2021)

Knowledge Based Multilingual Language Model. - Linlin Liu; Xin Li 056; Ruidan He; Lidong Bing; Shafiq R. Joty; Luo Si (CoRR, 2021)

Harvest shopping advice: Neural Question Generation from multiple information sources in E-commerce. - Yongzhen Wang; Kaisong Song; Lidong Bing; Xiaozhong Liu (Neurocomputing, 2021)

IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks. - Liying Cheng; Lidong Bing; Ruidan He; Qian Yu; Yan Zhang 004; Luo Si (ACL (1), 2022)

RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. - Yew Ken Chia; Lidong Bing; Soujanya Poria; Luo Si (ACL (Findings), 2022)

GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems. - Bosheng Ding; Junjie Hu 001; Lidong Bing; Sharifah Mahani Aljunied; Shafiq R. Joty; Luo Si; Chunyan Miao (ACL (1), 2022)

MReD: A Meta-Review Dataset for Structure-Controllable Text Generation. - Chenhui Shen; Liying Cheng; Ran Zhou 004; Lidong Bing; Yang You; Luo Si (ACL (Findings), 2022)

Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation. - Qingyu Tan; Ruidan He; Lidong Bing; Hwee Tou Ng (ACL (Findings), 2022)

MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER. - Ran Zhou 004; Xin Li 056; Ruidan He; Lidong Bing; Erik Cambria; Luo Si; Chunyan Miao (ACL (1), 2022)

SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning. - Wei Han 002; Hui Chen 023; Zhen Hai; Soujanya Poria; Lidong Bing (COLING, 2022)

Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings. - Linlin Liu; Thien Hai Nguyen; Shafiq R. Joty; Lidong Bing; Luo Si (COLING, 2022)

Domain Generalization for Text Classification with Memory-Based Supervised Contrastive Learning. - Qingyu Tan; Ruidan He; Lidong Bing; Hwee Tou Ng (COLING, 2022)

Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation. - Deng Cai 002; Xin Li 056; Jackie Chun-Sing Ho; Lidong Bing; Wai Lam (EMNLP, 2022)

A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach. - Yew Ken Chia; Lidong Bing; Sharifah Mahani Aljunied; Luo Si; Soujanya Poria (EMNLP, 2022)

Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples. - Linlin Liu; Xin Li 056; Ruidan He; Lidong Bing; Shafiq R. Joty; Luo Si (EMNLP, 2022)

Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction. - Thong Nguyen 003; Xiaobao Wu; Anh Tuan Luu; Zhen Hai; Lidong Bing (EMNLP, 2022)

SentBS: Sentence-level Beam Search for Controllable Summarization. - Chenhui Shen; Liying Cheng; Lidong Bing; Yang You; Luo Si (EMNLP, 2022)

Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction. - Qingyu Tan; Lu Xu 007; Lidong Bing; Hwee Tou Ng; Sharifah Mahani Aljunied (EMNLP, 2022)

Interventional Training for Out-Of-Distribution Natural Language Understanding. - Sicheng Yu; Jing Jiang 001; Hao Zhang 048; Yulei Niu; Qianru Sun; Lidong Bing (EMNLP, 2022)

ConNER: Consistency Training for Cross-lingual Named Entity Recognition. - Ran Zhou 004; Xin Li 056; Lidong Bing; Erik Cambria; Luo Si; Chunyan Miao (EMNLP, 2022)

Enhancing Cross-lingual Prompting with Mask Token Augmentation. - Meng Zhou; Xin Li 056; Yue Jiang; Lidong Bing (CoRR, 2022)

Revisiting DocRED - Addressing the Overlooked False Negative Problem in Relation Extraction. - Qingyu Tan; Lu Xu 007; Lidong Bing; Hwee Tou Ng (CoRR, 2022)

Informative Text Generation from Knowledge Triples. - Zihao Fu; Yijiang River Dong; Lidong Bing; Wai Lam (CoRR, 2022)

Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Predictions. - Thong Nguyen 003; Xiaobao Wu; Anh Tuan Luu; Cong-Duy Nguyen; Zhen Hai; Lidong Bing (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)

Is GPT-3 a Good Data Annotator? - Bosheng Ding; Chengwei Qin; Linlin Liu; Lidong Bing; Shafiq R. Joty; Boyang Li 001 (CoRR, 2022)

Is GPT-3 a Psychopath? Evaluating Large Language Models from a Psychological Perspective. - Xingxuan Li; Yutong Li; Linlin Liu; Lidong Bing; Shafiq R. Joty (CoRR, 2022)

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

Reasoning Implicit Sentiment with Chain-of-Thought Prompting. - Hao Fei 001; Bobo Li; Qian Liu 012; Lidong Bing; Fei Li 021; Tat-Seng Chua (ACL (2), 2023)

Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning. - Ran Zhou 004; Xin Li 056; Lidong Bing; Erik Cambria; Chunyan Miao (ACL (1), 2023)

Sampling Better Negatives for Distantly Supervised Named Entity Recognition. - Lu Xu 007; Lidong Bing; Wei Lu 011 (ACL (Findings), 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)

Is GPT-3 a Good Data Annotator? - Bosheng Ding; Chengwei Qin; Linlin Liu; Yew Ken Chia; Boyang Li 001; Shafiq Joty; Lidong Bing (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)

Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations. - Linlin Liu; Xingxuan Li; Megh Thakkar; Xin Li 056; Shafiq Joty; Luo Si; Lidong Bing (ACL (1), 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)

Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction. - Thong Nguyen 003; Xiaobao Wu; Xinshuai Dong; Cong-Duy Nguyen; Zhen Hai; Lidong Bing; Anh Tuan Luu (ACL (Findings), 2023)

Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data. - Qingyu Tan; Lu Xu 007; Lidong Bing; Hwee Tou Ng (ACL (Findings), 2023)

Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models. - Qingyu Tan; Hwee Tou Ng; Lidong Bing (ACL (1), 2023)

Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling. - Shengqiong Wu; Hao Fei 001; Yixin Cao 002; Lidong Bing; Tat-Seng Chua (ACL (1), 2023)

PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks. - Weiwen Xu; Xin Li 056; Yang Deng 002; Wai Lam; Lidong Bing (ACL (1), 2023)

mPMR: A Multilingual Pre-trained Machine Reader at Scale. - Weiwen Xu; Xin Li 056; Wai Lam; Lidong Bing (ACL (2), 2023)

Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework. - Ruochen Zhao; Xingxuan Li; Shafiq Joty; Chengwei Qin; Lidong Bing (ACL (1), 2023)

Enhancing Cross-lingual Prompting with Dual Prompt Augmentation. - Meng Zhou; Xin Li 056; Yue Jiang; Lidong Bing (ACL (Findings), 2023)

Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction. - Jia Guo; Stanley Kok; Lidong Bing (EACL, 2023)

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

Is GPT-4 a Good Data Analyst? - Liying Cheng; Xingxuan Li; Lidong Bing (EMNLP (Findings), 2023)

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models. - Zhiqiang Hu; Lei Wang 185; Yihuai Lan; Wanyu Xu; Ee-Peng Lim; Lidong Bing; Xing Xu 001; Soujanya Poria; Roy Ka-Wei Lee (EMNLP, 2023)

Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization. - Chenhui Shen; Liying Cheng; Xuan-Phi Nguyen; Yang You; Lidong Bing (EMNLP (Findings), 2023)

A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization. - Chenhui Shen; Liying Cheng; Xuan-Phi Nguyen; Yang You; Lidong Bing (EMNLP (Findings), 2023)

Once Upon a Time in Graph: Relative-Time Pretraining for Complex Temporal Reasoning. - Sen Yang 005; Xin Li 056; Lidong Bing; Wai Lam (EMNLP, 2023)

Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding. - Hang Zhang; Xin Li 056; Lidong Bing (EMNLP (Demos), 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)

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models. - Zhiqiang Hu; Yihuai Lan; Lei Wang 185; Wanyu Xu; Ee-Peng Lim; Roy Ka-Wei Lee; Lidong Bing; Soujanya Poria (CoRR, 2023)

Can ChatGPT-like Generative Models Guarantee Factual Accuracy? On the Mistakes of New Generation Search Engines. - Ruochen Zhao; Xingxuan Li; Yew Ken Chia; Bosheng Ding; Lidong Bing (CoRR, 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)

Are Large Language Models Good Evaluators for Abstractive Summarization? - Chenhui Shen; Liying Cheng; Yang You; Lidong Bing (CoRR, 2023)

Better Sampling of Negatives for Distantly Supervised Named Entity Recognition. - Lu Xu 007; Lidong Bing; Wei Lu 011 (CoRR, 2023)

Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases. - Xingxuan Li; Ruochen Zhao; Yew Ken Chia; Bosheng Ding; Lidong Bing; Shafiq R. Joty; Soujanya Poria (CoRR, 2023)

Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction. - Yew Ken Chia; Hui Chen 023; Wei Han 002; Guizhen Chen; Sharifah Mahani Aljunied; Soujanya Poria; Lidong Bing (CoRR, 2023)

Unlocking Temporal Question Answering for Large Language Models Using Code Execution. - Xingxuan Li; Liying Cheng; Qingyu Tan; Hwee Tou Ng; Shafiq Joty; Lidong Bing (CoRR, 2023)

INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models. - Yew Ken Chia; Pengfei Hong; Lidong Bing; Soujanya Poria (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)

Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts. - Xuan-Phi Nguyen; Sharifah Mahani Aljunied; Shafiq Joty; Lidong Bing (CoRR, 2023)

Semantic-Aware Contrastive Sentence Representation Learning with Large Language Models. - Huiming Wang; Liying Cheng; Zhaodonghui Li; De Wen Soh; Lidong Bing (CoRR, 2023)

Contrastive Chain-of-Thought Prompting. - Yew Ken Chia; Guizhen Chen; Luu Anh Tuan; Soujanya Poria; Lidong Bing (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)

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)

Exploring the Potential of Large Language Models in Computational Argumentation. - Guizhen Chen; Liying Cheng; Anh Tuan Luu; Lidong Bing (ACL (1), 2024)

PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns. - Yew Ken Chia; Vernon Toh; Deepanway Ghosal; Lidong Bing; Soujanya Poria (ACL (Findings), 2024)

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 (ACL (1), 2024)

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 (ACL (Findings), 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)

Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding. - Sicong Leng; Hang Zhang; Guanzheng Chen; Xin Li 056; Shijian Lu; Chunyan Miao; Lidong Bing (CVPR, 2024)

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 (EMNLP (Findings), 2024)

Evaluating Psychological Safety of Large Language Models. - Xingxuan Li; Yutong Li; Lin Qiu; Shafiq Joty; Lidong Bing (EMNLP, 2024)

AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation. - Ziyang Luo; Xin Li 056; Hongzhan Lin 001; Jing Ma 004; Lidong Bing (EMNLP, 2024)

Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models. - Wenhao Shi; Zhiqiang Hu; Yi Bin; Junhua Liu; Yang Yang 002; See-Kiong Ng; Lidong Bing; Roy Ka-Wei Lee (EMNLP (Findings), 2024)

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

CLEX: Continuous Length Extrapolation for Large Language Models. - Guanzheng Chen; Xin Li 056; Zaiqiao Meng; Shangsong Liang; Lidong Bing (ICLR, 2024)

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 (ICLR, 2024)

Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning. - Huiming Wang; Zhaodonghui Li; Liying Cheng; De Wen Soh; Lidong Bing (NAACL-HLT, 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)

Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective. - Yongxin Zhu 003; Bocheng Li; Hang Zhang; Xin Li 056; Linli Xu; Lidong Bing (NeurIPS, 2024)

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

ParaICL: Towards Robust Parallel In-Context Learning. - Xingxuan Li; Xuan-Phi Nguyen; Shafiq Joty; Lidong Bing (CoRR, 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)

VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs. - Zesen Cheng; Sicong Leng; Hang Zhang; Yifei Xin; Xin Li 056; Guanzheng Chen; Yongxin Zhu 003; Wenqi Zhang 001; Ziyang Luo; 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)

Can-Do! A Dataset and Neuro-Symbolic Grounded Framework for Embodied Planning with Large Multimodal Models. - Yew Ken Chia; Qi Sun; Lidong Bing; Soujanya Poria (CoRR, 2024)

The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio. - Sicong Leng; Yun Xing; Zesen Cheng; Yang Zhou; Hang Zhang; Xin Li 056; Deli Zhao; Shijian Lu; Chunyan Miao; Lidong Bing (CoRR, 2024)

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 007; Yifei Xin; Ronghao Dang; Deli Zhao; Yu Rong; et al. (CoRR, 2024)

Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss. - Zesen Cheng; Hang Zhang; Kehan Li; Sicong Leng; Zhiqiang Hu; Fei Wu; Deli Zhao; Xin Li 056; Lidong Bing (CoRR, 2024)

M-Longdoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework. - Yew Ken Chia; Liying Cheng; Hou Pong Chan; Chaoqun Liu; Maojia Song; Sharifah Mahani Aljunied; Soujanya Poria; Lidong Bing (CoRR, 2024)

LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency. - Zhaodonghui Li; Haitao Yuan 002; Huiming Wang; Gao Cong; Lidong Bing (Proc. VLDB Endow., 2024)

FineReason: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving. - Guizhen Chen; Weiwen Xu; Hao Zhang 048; Hou Pong Chan; Chaoqun Liu; Lidong Bing; Deli Zhao; Anh Tuan Luu; Yu Rong (ACL (1), 2025)

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 (ACL (1), 2025)

Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations. - Chenghao Xiao; Hou Pong Chan; Hao Zhang 048; Mahani Aljunied; Lidong Bing; Noura Al Moubayed; Yu Rong (ACL (1), 2025)

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 (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)

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)

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 056; Lidong Bing (CVPR, 2025)

ECBench: Can Multi-modal Foundation Models Understand the Egocentric World? A Holistic Embodied Cognition Benchmark. - Ronghao Dang; Yuqian Yuan; Wenqi Zhang 001; Yifei Xin; Boqiang Zhang; Long Li; Liuyi Wang; Qinyang Zeng; Xin Li 056; Lidong Bing (CVPR, 2025)

VideoRefer Suite: Advancing Spatial-Temporal Object Understanding with Video LLM. - Yuqian Yuan; Hang Zhang; Wentong Li 001; Zesen Cheng; Boqiang Zhang; Long Li; Xin Li 056; Deli Zhao; Wenqiao Zhang; Yueting Zhuang; Jianke Zhu; Lidong Bing (CVPR, 2025)

LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization. - Guanzheng Chen; Xin Li 056; Michael Shieh; Lidong Bing (ICLR, 2025)

ParaICL: Towards Parallel In-Context Learning. - Xingxuan Li; Xuan-Phi Nguyen; Shafiq Joty; Lidong Bing (NAACL (Long Papers), 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)

Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs. - Sen Yang 005; Xin Li 056; Leyang Cui; Lidong Bing; Wai Lam (NAACL (Findings), 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)

2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining. - Wenqi Zhang 001; Hang Zhang; Xin Li 056; Jiashuo Sun; Yongliang Shen 001; Weiming Lu 001; Deli Zhao; Yueting Zhuang; Lidong Bing (CoRR, 2025)

VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding. - Boqiang Zhang; Kehan Li; Zesen Cheng; Zhiqiang Hu; Yuqian Yuan; Guanzheng Chen; Sicong Leng; Yuming Jiang 007; Hang Zhang; Xin Li 056; Peng Jin; Wenqi Zhang 001; et al. (CoRR, 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)

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models. - Chong Zhang; Yue Deng 010; Xiang Lin; Bin Wang; Dianwen Ng; Hai Ye; Xingxuan Li; Yao Xiao; Zhanfeng Mo; Qi Zhang 001; Lidong Bing (CoRR, 2025)

MOOSE-Chem3: Toward Experiment-Guided Hypothesis Ranking via Simulated Experimental Feedback. - Wanhao Liu; Zonglin Yang 001; Jue Wang; Lidong Bing; Di Zhang; Dongzhan Zhou; Yuqiang Li; Houqiang Li; Erik Cambria; Wanli Ouyang (CoRR, 2025)

MOOSE-Chem2: Exploring LLM Limits in Fine-Grained Scientific Hypothesis Discovery via Hierarchical Search. - Zonglin Yang 001; Wanhao Liu; Ben Gao; Yujie Liu; Wei Li 076; Tong Xie; Lidong Bing; Wanli Ouyang; Erik Cambria; Dongzhan Zhou (CoRR, 2025)

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

Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective. - Jianyu Wang; Zhiqiang Hu; Lidong Bing (CoRR, 2025)

MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization. - Xingxuan Li; Yao Xiao; Dianwen Ng; Hai Ye; Yue Deng 010; Xiang Lin; Bin Wang; Zhanfeng Mo; Chong Zhang; Yueyi Zhang; Zonglin Yang 001; Ruilin Li; et al. (CoRR, 2025)