---
title: "Lidong Bing — all works — Elamur Research"
description: "All 61 works of Lidong Bing in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/lidong-bing/works/"
---
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# Lidong Bing — all works

61 works · [← Lidong Bing](https://md.research.elamur.ai/free/en/authors/lidong-bing/)

1. **[Recurrent Attention Network on Memory for Aspect Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/chen-2017-recurrent-attention-network-memory-aspect/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Peng Chen, Zhongqian Sun, Lidong Bing, et al.*2017 · 1,119 citations*
2. **[Transformation Networks for Target-Oriented Sentiment Classification](https://md.research.elamur.ai/free/en/papers/li-2018-transformation-networks-target-oriented-sentiment/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xin Li, Lidong Bing, Wai Lam, et al.*2018 · 600 citations*
3. **[Knowing What, How and Why: A Near Complete Solution for Aspect-Based Sentiment Analysis ↗](https://doi.org/10.1609/aaai.v34i05.6383) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Haiyun Peng et al.*2020 · 573 citations*
4. **[Sentiment Analysis in the Era of Large Language Models: A Reality Check](https://md.research.elamur.ai/free/en/papers/zhang-2023-sentiment-analysis-era-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenxuan Zhang, Yue Deng, Bing Liu, et al.*2023 · 506 citations*
5. **[A Unified Model for Opinion Target Extraction and Target Sentiment Prediction ↗](https://doi.org/10.1609/aaai.v33i01.33016714) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Xin Li et al.*2019 · 432 citations*
6. **[Exploiting BERT for End-to-End Aspect-based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/li-2019-exploiting-bert-end-end-aspect/) [Workshop on Noisy User-generated Text](https://md.research.elamur.ai/free/en/venues/wnut/)**Xin Li, Lidong Bing, Wenxuan Zhang, et al.*2019 · 417 citations*
7. **[LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models](https://md.research.elamur.ai/free/en/papers/hu-2023-llm-adapters-adapter-family-parameter/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhiqiang Hu, Lei Wang, Yihuai Lan, et al.*2023 · 401 citations*
8. **[Position-Aware Tagging for Aspect Sentiment Triplet Extraction](https://md.research.elamur.ai/free/en/papers/xu-2020-position-aware-tagging-aspect-sentiment/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lu Xu, Hao Li, Wei Lu, et al.*2020 · 370 citations*
9. **[Aspect Sentiment Quad Prediction as Paraphrase Generation](https://md.research.elamur.ai/free/en/papers/zhang-2021-aspect-sentiment-quad-prediction-as/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wenxuan Zhang, Yang Deng, Xin Li, et al.*2021 · 325 citations*
10. **[Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding](https://md.research.elamur.ai/free/en/papers/leng-2023-mitigating-object-hallucinations-large-vision/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Sicong Leng, Hang Zhang, Guanzheng Chen, et al.*2023 · 322 citations*
11. **[Towards Generative Aspect-Based Sentiment Analysis ↗](https://aclanthology.org/2021.acl-short.64/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers) · no summary yet**Wenxuan Zhang et al.*2021 · 310 citations*
12. **[Deep Recurrent Generative Decoder for Abstractive Text Summarization ↗](https://aclanthology.org/D17-1222/) Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yet**Piji Li et al.*2017 · 258 citations*
13. **[Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction](https://md.research.elamur.ai/free/en/papers/xu-2021-learning-span-level-interactions-aspect/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lu Xu, Yew Ken Chia, Lidong Bing*2021 · 246 citations*
14. [**Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding arXiv:2306.02858**Hang Zhang, Xin Li, Lidong Bing*2023 · 238 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-video-llama-instruction-tuned-audio/)
15. **[An Unsupervised Sentence Embedding Method by Mutual Information Maximization](https://md.research.elamur.ai/free/en/papers/zhang-2020-unsupervised-sentence-embedding-method-mutual/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yan Zhang, Ruidan He, Zuozhu Liu, et al.*2020 · 213 citations*
16. **[On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation](https://md.research.elamur.ai/free/en/papers/he-2021-effectiveness-adapter-based-tuning-pretrained/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruidan He, Linlin Liu, Hai Ye, et al.*2021 · 204 citations*
17. **[DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks](https://md.research.elamur.ai/free/en/papers/ding-2020-daga-data-augmentation-generation-approach/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Bosheng Ding, Linlin Liu, Lidong Bing, et al.*2020 · 203 citations*
18. [**Multilingual Jailbreak Challenges in Large Language Models arXiv:2310.06474**Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, et al.*2023 · 192 citations*](https://md.research.elamur.ai/free/en/papers/deng-2023-multilingual-jailbreak-challenges-large-language/)
19. **[Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation](https://md.research.elamur.ai/free/en/papers/tan-2022-document-level-relation-extraction-adaptive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qingyu Tan, Ruidan He, Lidong Bing, et al.*2022 · 169 citations*
20. **[Reasoning Implicit Sentiment with Chain-of-Thought Prompting ↗](https://aclanthology.org/2023.acl-short.101/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yet**Hao Fei et al.*2023 · 160 citations*
21. **[Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction](https://md.research.elamur.ai/free/en/papers/tan-2022-revisiting-docred-addressing-false-negative/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Qingyu Tan, Lu Xu, Lidong Bing, et al.*2022 · 151 citations*
22. **[M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2023-m3exam-multilingual-multimodal-multilevel-benchmark/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Wenxuan Zhang, Sharifah Mahani Aljunied, Chang Gao, et al.*2023 · 150 citations*
23. **[Is GPT-3 a Good Data Annotator? ↗](https://aclanthology.org/2023.acl-long.626/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Bosheng Ding et al.*2023 · 149 citations*
24. [**Is GPT-3 a Good Data Annotator? arXiv:2212.10450**Bosheng Ding, Chengwei Qin, Linlin Liu, et al.*2022 · 147 citations*](https://md.research.elamur.ai/free/en/papers/ding-2022-gpt-3-good-data-annotator/)
25. **[Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework](https://md.research.elamur.ai/free/en/papers/zhao-2023-verify-edit-knowledge-enhanced-chain/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruochen Zhao, Xingxuan Li, Shafiq Joty, et al.*2023 · 145 citations*
26. **[RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction](https://md.research.elamur.ai/free/en/papers/chia-2022-relationprompt-leveraging-prompts-generate-synthetic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yew Ken Chia, Lidong Bing, Soujanya Poria, et al.*2022 · 141 citations*
27. **[MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER ↗](https://aclanthology.org/2022.acl-long.160/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Ran Zhou et al.*2022 · 125 citations*
28. **[MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER ↗](https://aclanthology.org/2021.acl-long.453/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Linlin Liu et al.*2021 · 125 citations*
29. **[Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning ↗](https://aclanthology.org/D19-1466/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Zheng Li et al.*2019 · 122 citations*
30. **[Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/shen-2023-large-language-models-are-not/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chenhui Shen, Liying Cheng, Xuan-Phi Nguyen, et al.*2023 · 119 citations*
31. [**VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs arXiv:2406.07476**Zesen Cheng, Sicong Leng, Hang Zhang, et al.*2024 · 118 citations*](https://md.research.elamur.ai/free/en/papers/cheng-2024-videollama-2-advancing-spatial-temporal/)
32. [**Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources arXiv:2305.13269**Xingxuan Li, Ruochen Zhao, Yew Ken Chia, et al.*2023 · 112 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-chain-knowledge-grounding-large-language/)
33. **[Is GPT-4 a Good Data Analyst? ↗](https://aclanthology.org/2023.findings-emnlp.637/) Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yet**Liying Cheng, Xingxuan Li, Lidong Bing*2023 · 107 citations*
34. **[How do Large Language Models Handle Multilingualism?](https://md.research.elamur.ai/free/en/papers/zhao-2024-large-language-models-handle-multilingualism/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yiran Zhao, Wenxuan Zhang, Guizhen Chen, et al.*2024 · 102 citations*
35. [**INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models arXiv:2306.04757**Yew Ken Chia, Pengfei Hong, Lidong Bing, et al.*2023 · 96 citations*](https://md.research.elamur.ai/free/en/papers/chia-2023-instructeval-towards-holistic-evaluation-instruction/)
36. **[APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning ↗](https://aclanthology.org/2020.emnlp-main.569/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Liying Cheng et al.*2020 · 95 citations*
37. **[Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/shi-2024-math-llava-bootstrapping-mathematical-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenhao Shi, Zhiqiang Hu, Yi Bin, et al.*2024 · 86 citations*
38. **[Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling ↗](https://aclanthology.org/2023.acl-long.823/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Shengqiong Wu et al.*2023 · 82 citations*
39. **[A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis ↗](https://aclanthology.org/D19-1563/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Chuang Fan et al.*2019 · 80 citations*
40. **[Aspect Sentiment Classification with Aspect-Specific Opinion Spans ↗](https://aclanthology.org/2020.emnlp-main.288/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Lu Xu et al.*2020 · 79 citations*
41. **[An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction ↗](https://aclanthology.org/N19-1292/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Wang Chen et al.*2019 · 77 citations*
42. **[Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization ↗](https://arxiv.org/abs/2305.13091) arXiv:2305.13091 · Findings of EMNLP 2023 · no summary yet**Chenhui Shen et al.*2023 · 75 citations*
43. **[Semi-supervised Text Style Transfer: Cross Projection in Latent Space ↗](https://aclanthology.org/D19-1499/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Mingyue Shang et al.*2019 · 72 citations*
44. **[Improving Question Generation With to the Point Context ↗](https://aclanthology.org/D19-1317/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Jingjing Li et al.*2019 · 71 citations*
45. **[Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization ↗](https://doi.org/10.1609/aaai.v31i1.11007) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Piji Li et al.*2017 · 70 citations*
46. **[Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models](https://md.research.elamur.ai/free/en/papers/liu-2025-is-translation-all-you-need/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Chaoqun Liu, Wenxuan Zhang, Yiran Zhao, et al.*2025 · 61 citations*
47. **[Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts](https://md.research.elamur.ai/free/en/papers/nguyen-2024-democratizing-llms-low-resource-languages/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xuan-Phi Nguyen, Mahani Aljunied, Shafiq Joty, et al.*2024 · 55 citations*
48. **[Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents ↗](https://arxiv.org/abs/2410.13185) arXiv:2410.13185 · no summary yet**Long Li et al.*2024 · 47 citations*
49. [**Contrastive Chain-of-Thought Prompting arXiv:2311.09277**Yew Ken Chia, Guizhen Chen, Luu Anh Tuan, et al.*2023 · 45 citations*](https://md.research.elamur.ai/free/en/papers/chia-2023-contrastive-chain-thought-prompting/)
50. **[Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation ↗](https://aclanthology.org/2020.emnlp-main.169/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Yan Zhang et al.*2020 · 27 citations*
51. **[Multilingual AMR Parsing with Noisy Knowledge Distillation ↗](https://aclanthology.org/2021.findings-emnlp.237/) Findings of the Association for Computational Linguistics: EMNLP 2021 · no summary yet**Deng Cai et al.*2021 · 24 citations*
52. **[M-LongDoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework](https://md.research.elamur.ai/free/en/papers/chia-2025-m-longdoc-benchmark-multimodal-super/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yew Ken Chia, Liying Cheng, Hou Pong Chan, et al.*2025 · 21 citations*
53. **[Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee Discussions](https://md.research.elamur.ai/free/en/papers/zhao-2025-auto-arena-automating-llm-evaluations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ruochen Zhao, Wenxuan Zhang, Yew Ken Chia, et al.*2025 · 16 citations*
54. **[Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks](https://md.research.elamur.ai/free/en/papers/li-2025-can-we-further-elicit-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xingxuan Li, Weiwen Xu, Ruochen Zhao, et al.*2025 · 13 citations*
55. [**100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models arXiv:2505.00551**Chong Zhang, Yue Deng, Xiang Lin, et al.*2025 · 9 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2025-100-days-after-deepseek/)
56. **[Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation ↗](https://aclanthology.org/2022.emnlp-main.433/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Deng Cai et al.*2022 · 9 citations*
57. [**Babel: Open Multilingual Large Language Models Serving Over 90% of Global Speakers arXiv:2503.00865**Yiran Zhao, Chaoqun Liu, Yue Deng, et al.*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2025-babel-open-multilingual-large-language/)
58. **[FineReason: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving](https://md.research.elamur.ai/free/en/papers/chen-2025-finereason-evaluating-improving-llms-deliberate/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guizhen Chen, Weiwen Xu, Hao Zhang, et al.*2025 · 6 citations*
59. **[AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation ↗](https://aclanthology.org/2024.emnlp-main.66/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yet**Ziyang Luo et al.*2024 · 2 citations*
60. **[Revisiting Self-Play Preference Optimization: On the Role of Prompt Difficulty](https://md.research.elamur.ai/free/en/papers/xiao-2026-revisiting-self-play-preference-optimization/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yao Xiao, Jung-jae Kim, Roy Ka-Wei Lee, et al.*2026*
61. **[QuaSE: Accurate Text Style Transfer under Quantifiable Guidance ↗](https://arxiv.org/abs/1804.07007) arXiv:1804.07007 · no summary yet**Yi Liao et al.*2018*