Lidong Bing

10.1k citations

154 papers · 5.1k indexed · 7 hit papers · h-index 31

Impact in

Artificial Intelligence top 0.1%
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Natural Language Processing Techniques
- Text and Document Classification Technologies
Information Systems top 1%
- Web Data Mining and Analysis
- Recommender Systems and Techniques

Papers in

Artificial Intelligence 140
- Topic Modeling 107
- Natural Language Processing Techniques 78
- Sentiment Analysis and Opinion Mining 32
- Text and Document Classification Technologies 29
- Advanced Text Analysis Techniques 23
- Text Readability and Simplification 14
Information Systems 30
- Web Data Mining and Analysis 21

Co-authors: Wai Lam Xin Li Piji Li Zhongqian SunWei YangPeng Chen Wenxuan Zhang Lu Xu
Journals: Knowledge-Based Systems (3 papers)ACM Transactions on Information Systems (2 papers)Proceedings of the VLDB Endowment (1 paper)Neurocomputing (1 paper)Cognitive Computation (1 paper)
Partner nations: China Hong Kong Cayman Islands

In The Last Decade

Lidong Bing

141 papers receiving 4.9k citations

Hit Papers

7 papers align trajectories log scale

Sentiment Analysis in the Era of Large Language Models: A Reality Check 2024 · 94 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2024 Sentiment Analysis in the Era of Large Language Models: A Reality Check
2023 Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
2022 IEEE Transactions on Knowledge and Data Engineering
2020 Proceedings of the AAAI Conference on Artificial Intelligence
2019 Exploiting BERT for End-to-End Aspect-based Sentiment Analysis
2018 Transformation Networks for Target-Oriented Sentiment Classification
2017 Recurrent Attention Network on Memory for Aspect Sentiment Analysis

Peers

Countries citing papers authored by Lidong Bing

Since Specialization

Citations

This map shows the geographic impact of Lidong Bing's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lidong Bing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lidong Bing more than expected).

Fields of papers citing papers by Lidong Bing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lidong Bing. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lidong Bing. The network helps show where Lidong Bing may publish in the future.

Co-authors

The 25 scholars most cited alongside Lidong Bing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lidong Bing Line = papers co-authored together Lidong Bing links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	M-LongDoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework Yew Ken Chia, Никита Алексеевич Фомин, Hou Pong Chan, Michael Song, Chaoqun Liu, Celso H. L. Silva-Junior, Soujanya Poria, Lidong Bing	2025	0
2	SeaExam and SeaBench: Benchmarking LLMs with Local Multilingual Questions in Southeast Asia Chaoqun Liu, Wenxuan Zhang, Jonathan Sanders, Celso H. L. Silva-Junior, Anh Tuan Luu, Lidong Bing	2025	0
3	Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee Discussions Abhisek Pal, Seongwan Jang, Yew Ken Chia, Weiwen Xu, 久美塚原, Lidong Bing	2025	1
4	Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks J. P. Spanbauer, Trevor J Topp, Joonho Moon, M.T. Merino, Shafiq Joty, Lidong Bing	2025	0
5	Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs Laura Briche, Xin Li, Leyang Cui, Lidong Bing, Wai Lam	2025	0
6	Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts Zhaohceng Wang, Celso H. L. Silva-Junior, Shafiq Joty, Lidong Bing	2024	6
7	SeaLLMs - Large Language Models for Southeast Asia Zhaohceng Wang, Wenxuan Zhang, Jörn Henze, Celso H. L. Silva-Junior, Zhi‐Qiang Hu, Alonzo Ames Miner, Yew Ken Chia, J. P. Spanbauer, Jianyu Wang, Qingyu Tan, Liying Cheng, L Altev, Yue Deng, Laura Briche, Chaoqun Liu, Bingqing Bi, Lidong Bing	2024	4
8	AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation Scott S. Sherriffs, Xin Li, E rer, Jing Ma, Lidong Bing	2024	0
9	Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction Yew Ken Chia, Hui Chen, 達男田宮, Wei Han, 徹立石, Soujanya Poria, Lidong Bing	2024	2
10	PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns Yew Ken Chia, Sakshi Naik, Deepanway Ghosal, Lidong Bing, Soujanya Poria	2024	1
11	Evaluating Psychological Safety of Large Language Models J. P. Spanbauer, Ahmed Al-Batoush, Rebecca Boorstin, Shafiq Joty, Lidong Bing	2024	9
12	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	1
13	Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models Wenhao Shi, R.S. Crouch, Yi Bin, Junhua Liu, Ronaldo Rodrigues da Silva, See-Kiong Ng, Lidong Bing, Roy Ka-Wei Lee	2024	6
14	Reasoning Paths Optimization: Learning to Reason and Explore From Diverse Paths Yew Ken Chia, 達男田宮, Trevor J Topp, Luu Anh Tuan, Soujanya Poria, Lidong Bing	2024	0
15	Reasoning Implicit Sentiment with Chain-of-Thought Prompting Hao Fei, Bobo Li, Qian Liu, Lidong Bing, Fei Li, Tat‐Seng Chua	2023	45
16	PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks Weiwen Xu, Xin Li, Rieska Fitriani, Wai Lam, Lidong Bing	2023	5
17	Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples Linlin Liu, Xin Li, Ruidan He, Lidong Bing, Shafiq Joty, Luo Si	2022	10
18	A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach Yew Ken Chia, Lidong Bing, 徹立石, Luo Si, Soujanya Poria	2022	5
19	SentBS: Sentence-level Beam Search for Controllable Summarization Alonzo Ames Miner, Liying Cheng, Lidong Bing, You Yang, Luo Si	2022	6
20	An Unsupervised Sentence Embedding Method by Mutual Information Maximization Yan Zhang, Ruidan He, Zuozhu Liu, Kwan Hui Lim, Lidong Bing	2020	75

About Lidong Bing

Lidong Bing is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, General Social Sciences and Management Science and Operations Research, having authored 154 papers that have together received 5.1k indexed citations. Recurring topics across this work include Topic Modeling (107 papers), Natural Language Processing Techniques (78 papers), Sentiment Analysis and Opinion Mining (32 papers), Text and Document Classification Technologies (29 papers), Advanced Text Analysis Techniques (23 papers), Web Data Mining and Analysis (21 papers), Multimodal Machine Learning Applications (20 papers) and Text Readability and Simplification (14 papers). The work is most often cited by research in Artificial Intelligence (4.5k citations), Information Systems (767 citations), General Social Sciences (92 citations), Computer Vision and Pattern Recognition (541 citations) and Health Informatics (31 citations). Lidong Bing has collaborated with scholars based in China, Hong Kong and Cayman Islands. Frequent co-authors include Wai Lam, Xin Li, Piji Li, Zhongqian Sun, Wei Yang, Peng Chen, Wenxuan Zhang, Lu Xu, Wei Lu and Luo Si. Their work appears in journals such as Knowledge-Based Systems, ACM Transactions on Information Systems, Proceedings of the VLDB Endowment, Neurocomputing and Cognitive Computation.

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