---
title: "Lidong Bing — papers of 2023 — 11 papers, the most cited first"
description: "Lidong Bing — papers of 2023: 11 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Lidong Bing — papers of 2023 — 11 papers, the most cited first

11 papers · [all years of Lidong Bing](https://md.research.elamur.ai/free/en/authors/lidong-bing/#years)

**[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*

**[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*

**[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*

- [Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding arXiv:2306.02858](https://md.research.elamur.ai/free/en/papers/zhang-2023-video-llama-instruction-tuned-audio/) — Hang Zhang, Xin Li, Lidong Bing · 2023 · 238 citations
- [Multilingual Jailbreak Challenges in Large Language Models arXiv:2310.06474](https://md.research.elamur.ai/free/en/papers/deng-2023-multilingual-jailbreak-challenges-large-language/) — Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, et al. · 2023 · 192 citations

**[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*

**[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*

**[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*

- [Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources arXiv:2305.13269](https://md.research.elamur.ai/free/en/papers/li-2023-chain-knowledge-grounding-large-language/) — Xingxuan Li, Ruochen Zhao, Yew Ken Chia, et al. · 2023 · 112 citations
- [INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models arXiv:2306.04757](https://md.research.elamur.ai/free/en/papers/chia-2023-instructeval-towards-holistic-evaluation-instruction/) — Yew Ken Chia, Pengfei Hong, Lidong Bing, et al. · 2023 · 96 citations
- [Contrastive Chain-of-Thought Prompting arXiv:2311.09277](https://md.research.elamur.ai/free/en/papers/chia-2023-contrastive-chain-thought-prompting/) — Yew Ken Chia, Guizhen Chen, Luu Anh Tuan, et al. · 2023 · 45 citations