Lidong Bing

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 261

Top Venues

Chinese University of Hong Kong, Hong Kong (PHD)

Education History

Chinese University of Hong Kong, Hong Kong

PHD

Publications

Xingxuan Li, Xuan-Phi Nguyen, Shafiq Joty, Lidong Bing
ParaICL: Towards Robust Parallel In-Context Learning. CoRR (2024)
Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing
Multilingual Jailbreak Challenges in Large Language Models. ICLR (2024)
Wenhao Shi, Zhiqiang Hu, Yi Bin, Junhua Liu, Yang Yang, See-Kiong Ng, Lidong Bing, Roy Ka-Wei Lee
Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models. CoRR (2024)
Yiran Zhao, Wenxuan Zhang, Huiming Wang, Kenji Kawaguchi, Lidong Bing
AdaMergeX: Cross-Lingual Transfer with Large Language Models via Adaptive Adapter Merging. CoRR (2024)
Guizhen Chen, Liying Cheng, Anh Tuan Luu, Lidong Bing
Exploring the Potential of Large Language Models in Computational Argumentation. ACL (1) (2024)
Xuan-Phi Nguyen, Mahani Aljunied, Shafiq Joty, Lidong Bing
Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts. ACL (1) (2024)
Qingyu Tan, Hwee Tou Ng, Lidong Bing
Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning. ACL (Findings) (2024)
Zesen Cheng, Sicong Leng, Hang Zhang, Yifei Xin, Xin Li, Guanzheng Chen, Yongxin Zhu, Wenqi Zhang, Ziyang Luo, Deli Zhao, Lidong Bing
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs. CoRR (2024)
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
SeaLLMs 3: Open Foundation and Chat Multilingual Large Language Models for Southeast Asian Languages. CoRR (2024)
Huiming Wang, Zhaodonghui Li, Liying Cheng, De Wen Soh, Lidong Bing
Large Language Models can Contrastively Refine their Generation for Better Sentence Representation Learning. NAACL-HLT (2024)
Xingxuan Li, Ruochen Zhao, Yew Ken Chia, Bosheng Ding, Shafiq Joty, Soujanya Poria, Lidong Bing
Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources. ICLR (2024)
Ruochen Zhao, Wenxuan Zhang, Yew Ken Chia, Deli Zhao, Lidong Bing
Auto Arena of LLMs: Automating LLM Evaluations with Agent Peer-battles and Committee Discussions. CoRR (2024)
Zhaodonghui Li, Haitao Yuan, Huiming Wang, Gao Cong, Lidong Bing
LLM-R2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency. CoRR (2024)
Yew Ken Chia, Vernon Toh, Deepanway Ghosal, Lidong Bing, Soujanya Poria
PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns. ACL (Findings) (2024)
Yiran Zhao, Wenxuan Zhang, Guizhen Chen, Kenji Kawaguchi, Lidong Bing
How do Large Language Models Handle Multilingualism? CoRR (2024)
Chaoqun Liu, Wenxuan Zhang, Yiran Zhao, Anh Tuan Luu, Lidong Bing
Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models. CoRR (2024)
Guanzheng Chen, Xin Li, Zaiqiao Meng, Shangsong Liang, Lidong Bing
CLEX: Continuous Length Extrapolation for Large Language Models. ICLR (2024)
Yew Ken Chia, Vernon Toh Yan Han, Deepanway Ghosal, Lidong Bing, Soujanya Poria
PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns. CoRR (2024)
Huiming Wang, Liying Cheng, Wenxuan Zhang, De Wen Soh, Lidong Bing
Order-Agnostic Data Augmentation for Few-Shot Named Entity Recognition. ACL (1) (2024)
Chenhui Shen, Liying Cheng, Yang You, Lidong Bing
Are Large Language Models Good Evaluators for Abstractive Summarization? CoRR (2023)
Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing
SOUL: Towards Sentiment and Opinion Understanding of Language. EMNLP (2023)
Hao Fei, Bobo Li, Qian Liu, Lidong Bing, Fei Li, Tat-Seng Chua
Reasoning Implicit Sentiment with Chain-of-Thought Prompting. ACL (2) (2023)
Jia Guo, Stanley Kok, Lidong Bing
Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction. EACL (2023)
Zihao Fu, Haoran Yang, Anthony Man-Cho So, Wai Lam, Lidong Bing, Nigel Collier
On the Effectiveness of Parameter-Efficient Fine-Tuning. AAAI (2023)
Ruochen Zhao, Xingxuan Li, Shafiq R. Joty, Chengwei Qin, Lidong Bing
Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework. CoRR (2023)
Lu Xu, Lidong Bing, Wei Lu
Sampling Better Negatives for Distantly Supervised Named Entity Recognition. ACL (Findings) (2023)
Hang Zhang, Xin Li, Lidong Bing
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding. CoRR (2023)
Sen Yang, Xin Li, Lidong Bing, Wai Lam
Once Upon a Time in Graph: Relative-Time Pretraining for Complex Temporal Reasoning. CoRR (2023)
Xingxuan Li, Liying Cheng, Qingyu Tan, Hwee Tou Ng, Shafiq Joty, Lidong Bing
Unlocking Temporal Question Answering for Large Language Models Using Code Execution. CoRR (2023)
Wenxuan Zhang, Sharifah Mahani Aljunied, Chang Gao, Yew Ken Chia, Lidong Bing
M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models. CoRR (2023)
Chenhui Shen, Liying Cheng, Yang You, Lidong Bing
A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization. CoRR (2023)
Meng Zhou, Xin Li, Yue Jiang, Lidong Bing
Enhancing Cross-lingual Prompting with Dual Prompt Augmentation. ACL (Findings) (2023)
Weiwen Xu, Xin Li, Wai Lam, Lidong Bing
mPMR: A Multilingual Pre-trained Machine Reader at Scale. ACL (2) (2023)
Chenhui Shen, Liying Cheng, Xuan-Phi Nguyen, Yang You, Lidong Bing
A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization. EMNLP (Findings) (2023)
Shengqiong Wu, Hao Fei, Yixin Cao, Lidong Bing, Tat-Seng Chua
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling. CoRR (2023)
Zhiqiang Hu, Yihuai Lan, Lei Wang, Wanyu Xu, Ee-Peng Lim, Roy Ka-Wei Lee, Lidong Bing, Soujanya Poria
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models. CoRR (2023)
Bosheng Ding, Chengwei Qin, Linlin Liu, Yew Ken Chia, Boyang Li, Shafiq Joty, Lidong Bing
Is GPT-3 a Good Data Annotator? ACL (1) (2023)
Weiwen Xu, Xin Li, Wenxuan Zhang, Meng Zhou, Wai Lam, Luo Si, Lidong Bing
From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader. NeurIPS (2023)
Chaoqun Liu, Wenxuan Zhang, Guizhen Chen, Xiaobao Wu, Anh Tuan Luu, Chip-Hong Chang, Lidong Bing
Zero-Shot Text Classification via Self-Supervised Tuning. ACL (Findings) (2023)
Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing
Multilingual Jailbreak Challenges in Large Language Models. CoRR (2023)
Jia Guo, Stanley Kok, Lidong Bing
Towards Integration of Discriminability and Robustness for Document-Level Relation Extraction. CoRR (2023)
Weiwen Xu, Xin Li, Yang Deng, Wai Lam, Lidong Bing
PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks. ACL (1) (2023)
Hao Fei, Bobo Li, Qian Liu, Lidong Bing, Fei Li, Tat-Seng Chua
Reasoning Implicit Sentiment with Chain-of-Thought Prompting. CoRR (2023)
Yew Ken Chia, Hui Chen, Wei Han, Guizhen Chen, Sharifah Mahani Aljunied, Soujanya Poria, Lidong Bing
Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction. CoRR (2023)
Qingyu Tan, Hwee Tou Ng, Lidong Bing
Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models. CoRR (2023)
Yew Ken Chia, Guizhen Chen, Luu Anh Tuan, Soujanya Poria, Lidong Bing
Contrastive Chain-of-Thought Prompting. CoRR (2023)
Sen Yang, Xin Li, Lidong Bing, Wai Lam
Once Upon a Time in Graph: Relative-Time Pretraining for Complex Temporal Reasoning. EMNLP (2023)
Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Chunyan Miao
Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning. CoRR (2023)
Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Anh Tuan Luu, Cong-Duy Nguyen, Zhen Hai, Lidong Bing
Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction. CoRR (2023)
Ruochen Zhao, Xingxuan Li, Shafiq Joty, Chengwei Qin, Lidong Bing
Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework. ACL (1) (2023)
Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing
SOUL: Towards Sentiment and Opinion Understanding of Language. CoRR (2023)
Jia Guo, Liying Cheng, Wenxuan Zhang, Stanley Kok, Xin Li, Lidong Bing
AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach. CoRR (2023)
Chang Gao, Wenxuan Zhang, Wai Lam, Lidong Bing
Easy-to-Hard Learning for Information Extraction. ACL (Findings) (2023)
Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, Wai Lam
A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing
Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis. ACL (1) (2023)
Jia Guo, Liying Cheng, Wenxuan Zhang, Stanley Kok, Xin Li, Lidong Bing
AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach. ACL (Findings) (2023)
Qingyu Tan, Lu Xu, Lidong Bing, Hwee Tou Ng
Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data. CoRR (2023)
Sicong Leng, Hang Zhang, Guanzheng Chen, Xin Li, Shijian Lu, Chunyan Miao, Lidong Bing
Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding. CoRR (2023)
Chenhui Shen, Liying Cheng, Xuan-Phi Nguyen, Yang You, Lidong Bing
Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization. EMNLP (Findings) (2023)
Wenxuan Zhang, Yue Deng, Bing Liu, Sinno Jialin Pan, Lidong Bing
Sentiment Analysis in the Era of Large Language Models: A Reality Check. CoRR (2023)
Huiming Wang, Liying Cheng, Wenxuan Zhang, De Wen Soh, Lidong Bing
Enhancing Few-shot NER with Prompt Ordering based Data Augmentation. CoRR (2023)
Chaoqun Liu, Wenxuan Zhang, Guizhen Chen, Xiaobao Wu, Anh Tuan Luu, Chip-Hong Chang, Lidong Bing
Zero-Shot Text Classification via Self-Supervised Tuning. CoRR (2023)
Ruochen Zhao, Xingxuan Li, Yew Ken Chia, Bosheng Ding, Lidong Bing
Can ChatGPT-like Generative Models Guarantee Factual Accuracy? On the Mistakes of New Generation Search Engines. CoRR (2023)
Yew Ken Chia, Pengfei Hong, Lidong Bing, Soujanya Poria
INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models. CoRR (2023)
Weiwen Xu, Xin Li, Wai Lam, Lidong Bing
mPMR: A Multilingual Pre-trained Machine Reader at Scale. CoRR (2023)
Xingxuan Li, Ruochen Zhao, Yew Ken Chia, Bosheng Ding, Lidong Bing, Shafiq R. Joty, Soujanya Poria
Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases. CoRR (2023)
Chang Gao, Wenxuan Zhang, Wai Lam, Lidong Bing
Easy-to-Hard Learning for Information Extraction. CoRR (2023)
Zhiqiang Hu, Lei Wang, Yihuai Lan, Wanyu Xu, Ee-Peng Lim, Lidong Bing, Xing Xu, Soujanya Poria, Roy Ka-Wei Lee
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models. EMNLP (2023)
Qingyu Tan, Hwee Tou Ng, Lidong Bing
Towards Robust Temporal Reasoning of Large Language Models via a Multi-Hop QA Dataset and Pseudo-Instruction Tuning. CoRR (2023)
Lu Xu, Lidong Bing, Wei Lu
Better Sampling of Negatives for Distantly Supervised Named Entity Recognition. CoRR (2023)
Wenxuan Zhang, Mahani Aljunied, Chang Gao, Yew Ken Chia, Lidong Bing
M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models. NeurIPS (2023)
Hang Zhang, Xin Li, Lidong Bing
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding. EMNLP (Demos) (2023)
Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, Lidong Bing
Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis. CoRR (2023)
Guanzheng Chen, Xin Li, Zaiqiao Meng, Shangsong Liang, Lidong Bing
CLEX: Continuous Length Extrapolation for Large Language Models. CoRR (2023)
Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy Nguyen, Zhen Hai, Lidong Bing, Anh Tuan Luu
Gradient-Boosted Decision Tree for Listwise Context Model in Multimodal Review Helpfulness Prediction. ACL (Findings) (2023)
Shengqiong Wu, Hao Fei, Yixin Cao, Lidong Bing, Tat-Seng Chua
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling. ACL (1) (2023)
Qingyu Tan, Lu Xu, Lidong Bing, Hwee Tou Ng
Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data. ACL (Findings) (2023)
Sen Yang, Xin Li, Leyang Cui, Lidong Bing, Wai Lam
Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs. CoRR (2023)
Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Chunyan Miao
Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning. ACL (1) (2023)
Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, Mahani Mahani Aljunied, Qingyu Tan, Liying Cheng, Guanzheng Chen, Yue Deng, Sen Yang, Chaoqun Liu, Hang Zhang, Lidong Bing
SeaLLMs - Large Language Models for Southeast Asia. CoRR (2023)
Linlin Liu, Xingxuan Li, Megh Thakkar, Xin Li, Shafiq Joty, Luo Si, Lidong Bing
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations. ACL (1) (2023)
Liying Cheng, Xingxuan Li, Lidong Bing
Is GPT-4 a Good Data Analyst? CoRR (2023)
Huiming Wang, Liying Cheng, Zhaodonghui Li, De Wen Soh, Lidong Bing
Semantic-Aware Contrastive Sentence Representation Learning with Large Language Models. CoRR (2023)
Guizhen Chen, Liying Cheng, Luu Anh Tuan, Lidong Bing
Exploring the Potential of Large Language Models in Computational Argumentation. CoRR (2023)
Liying Cheng, Xingxuan Li, Lidong Bing
Is GPT-4 a Good Data Analyst? EMNLP (Findings) (2023)
Qingyu Tan, Hwee Tou Ng, Lidong Bing
Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models. ACL (1) (2023)
Xuan-Phi Nguyen, Sharifah Mahani Aljunied, Shafiq Joty, Lidong Bing
Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts. CoRR (2023)
Ran Zhou, Xin Li, Ruidan He, Lidong Bing, Erik Cambria, Luo Si, Chunyan Miao
MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER. ACL (1) (2022)
Xingxuan Li, Yutong Li, Linlin Liu, Lidong Bing, Shafiq R. Joty
Is GPT-3 a Psychopath? Evaluating Large Language Models from a Psychological Perspective. CoRR (2022)
Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam
Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation. EMNLP (2022)
Yew Ken Chia, Lidong Bing, Sharifah Mahani Aljunied, Luo Si, Soujanya Poria
A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach. EMNLP (2022)
Sicheng Yu, Jing Jiang, Hao Zhang, Yulei Niu, Qianru Sun, Lidong Bing
Interventional Training for Out-Of-Distribution Natural Language Understanding. EMNLP (2022)
Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam
Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation. CoRR (2022)
Qingyu Tan, Ruidan He, Lidong Bing, Hwee Tou Ng
Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation. CoRR (2022)
Thong Nguyen, Xiaobao Wu, Anh Tuan Luu, Zhen Hai, Lidong Bing
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction. EMNLP (2022)
Linlin Liu, Xingxuan Li, Megh Thakkar, Xin Li, Lidong Bing, Shafiq R. Joty, Luo Si
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations. CoRR (2022)
Weiwen Xu, Xin Li, Wenxuan Zhang, Meng Zhou, Lidong Bing, Wai Lam, Luo Si
From Clozing to Comprehending: Retrofitting Pre-trained Language Model to Pre-trained Machine Reader. CoRR (2022)
Qingyu Tan, Lu Xu, Lidong Bing, Hwee Tou Ng
Revisiting DocRED - Addressing the Overlooked False Negative Problem in Relation Extraction. CoRR (2022)
Qingyu Tan, Ruidan He, Lidong Bing, Hwee Tou Ng
Domain Generalization for Text Classification with Memory-Based Supervised Contrastive Learning. COLING (2022)
Yew Ken Chia, Lidong Bing, Sharifah Aljunied Mahani, Luo Si, Soujanya Poria
A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach. CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lidong Bing