Who cites Zewen Chi
- Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language ProcessingACM Computing SurveysPengfei Liu, Weizhe Yuan, Jinlan Fu, et al.2021 · 5,396 citations
- A Survey on Evaluation of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyYupeng Chang, Xu Wang, Jindong Wang, et al.2023 · 3,641 citations
- A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsACM Transactions on Information SystemsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,222 citations
- A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,863 citations
- Visual Instruction TuningarXiv:2304.08485Haotian Liu, Chunyuan Li, Qingyang Wu, et al.2023 · 2,491 citations
- DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding SharingarXiv:2111.09543Pengcheng He, Jianfeng Gao, Weizhu Chen2021 · 1,316 citations
- The Rise and Potential of Large Language Model Based Agents: A SurveyScience China Information SciencesZhiheng Xi, Wenxiang Chen, Xin Guo, et al.2023 · 1,264 citations
- MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language ModelsarXiv:2304.10592Deyao Zhu, Jun Chen, Xiaoqian Shen, et al.2023 · 1,106 citations
- A Survey on In-context LearningarXiv:2301.00234Qingxiu Dong, Lei Li, Damai Dai, et al.2023 · 959 citations
- Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and BeyondarXiv:2308.12966Jinze Bai, Shuai Bai, Shusheng Yang, et al.2023 · 913 citations
- Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any ResolutionarXiv:2409.12191Peng Wang, Shuai Bai, Sinan Tan, et al.2024 · 819 citations
- Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and BeyondarXiv:2304.13712Jingfeng Yang, Hongye Jin, Ruixiang Tang, et al.2023 · 811 citations
- HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging FaceConference on Neural Information Processing Systems (NeurIPS)Yongliang Shen, Kaitao Song, Xu Tan, et al.2023 · 740 citations
- Unleashing the potential of prompt engineering for large language modelsarXiv:2310.14735 · Patterns 6(6) 101,260 (2025)Banghao Chen, Zhaofeng Zhang, Nicolas Langrene, et al.2023 · 536 citations
- MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Chaoyou Fu, Peixian Chen, Yunhang Shen, et al.2023 · 529 citations
- MVBench: A Comprehensive Multi-modal Video Understanding BenchmarkIEEE Computer Society Conference on Computer Vision and Pattern RecognitionKunchang Li, Yali Wang, Yinan He, et al.2023 · 442 citations
- COMET-22: Unbabel-IST 2022 Submission for the Metrics Shared TaskConference on Machine Translation (WMT)Ricardo Rei, José G. C. de Souza, Duarte Alves, et al.2022 · 433 citations
- ViperGPT: Visual Inference via Python Execution for ReasoningIEEE/CVF International Conference on Computer Vision (ICCV)Didac Suris, Sachit Menon, Carl Vondrick2023 · 354 citations
- VideoChat: Chat-Centric Video UnderstandingScience China Information SciencesKunChang Li, Yinan He, Yi Wang, et al.2023 · 352 citations
- SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational AbilitiesFindings of the Association for Computational LinguisticsDong Zhang, Shimin Li, Xin Zhang, et al.2023 · 346 citations
- CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared TaskConference on Machine Translation (WMT)Ricardo Rei, Marcos Treviso, Nuno M. Guerreiro, et al.2022 · 325 citations
- LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init AttentionarXiv:2303.16199Renrui Zhang, Jiaming Han, Chris Liu, et al.2023 · 324 citations
- MM-LLMs: Recent Advances in MultiModal Large Language ModelsFindings of the Association for Computational LinguisticsDuzhen Zhang, Yahan Yu, Jiahua Dong, et al.2024 · 318 citations
- The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)arXiv:2309.17421Zhengyuan Yang, Linjie Li, Kevin Lin, et al.2023 · 304 citations
- XTREME-R: Towards More Challenging and Nuanced Multilingual EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP)Sebastian Ruder, Noah Constant, Jan Botha, et al.2021 · 277 citations
- Kosmos-2: Grounding Multimodal Large Language Models to the WorldarXiv:2306.14824Zhiliang Peng, Wenhui Wang, Li Dong, et al.2023 · 272 citations
- MiniCPM-V: A GPT-4V Level MLLM on Your PhonearXiv:2408.01800Yuan Yao, Tianyu Yu, Ao Zhang, et al.2024 · 267 citations
- The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language VariantsAnnual Meeting of the Association for Computational Linguistics (ACL)Lucas Bandarkar, Davis Liang, Benjamin Muller, et al.2023 · 259 citations
- Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought PromptingarXiv:2305.07004Haoyang Huang, Tianyi Tang, Dongdong Zhang, et al.2023 · 224 citations
- Qwen2.5-Omni Technical ReportarXiv:2503.20215Jin Xu, Zhifang Guo, Jinzheng He, et al.2025 · 218 citations
- Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video UnderstandingarXiv:2306.02858Hang Zhang, Xin Li, Lidong Bing2023 · 218 citations
- OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language ModelsarXiv:2308.01390Anas Awadalla, Irena Gao, Josh Gardner, et al.2023 · 209 citations
- What matters when building vision-language models?Conference on Neural Information Processing Systems (NeurIPS)Hugo Laurençon, Leo Tronchon, Matthieu Cord, et al.2024 · 195 citations
- Shikra: Unleashing Multimodal LLM's Referential Dialogue MagicarXiv:2306.15195Keqin Chen, Zhao Zhang, Weili Zeng, et al.2023 · 195 citations
- The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesarXiv:2406.06608Sander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 187 citations
- OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text DocumentsConference on Neural Information Processing Systems (NeurIPS)Hugo Laurençon, Lucile Saulnier, Leo Tronchon, et al.2023 · 183 citations
- Reasoning with Language Model Prompting: A SurveyarXiv:2212.09597Shuofei Qiao, Yixin Ou, Ningyu Zhang, et al.2022 · 161 citations
- Scaling up CometKiwi: Unbabel-IST 2023 Submission for the Quality Estimation Shared TaskConference on Machine Translation (WMT)Ricardo Rei, Nuno M. Guerreiro, José Pombal, et al.2023 · 135 citations
- SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and DialectsarXiv:2309.07445David Ifeoluwa Adelani, Hannah Liu, Xiaoyu Shen, et al.2023 · 135 citations
- UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language ModelFindings of the Association for Computational LinguisticsJiabo Ye, Anwen Hu, Haiyang Xu, et al.2023 · 128 citations
- ERNIE-M: Enhanced Multilingual Representation by Aligning Cross-lingual Semantics with Monolingual CorporaConference on Empirical Methods in Natural Language Processing (EMNLP)Xuan Ouyang, Shuohuan Wang, Chao Pang, et al.2020 · 127 citations
- XLM-E: Cross-lingual Language Model Pre-training via ELECTRAAnnual Meeting of the Association for Computational Linguistics (ACL)Zewen Chi, Shaohan Huang, Li Dong, et al.2022 · 126 citations
- Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language CapabilitiesarXiv:2404.17790Kazuki Fujii, Taishi Nakamura, Mengsay Loem, et al.2024 · 114 citations
- Identifying Elements Essential for BERT's MultilingualityConference on Empirical Methods in Natural Language Processing (EMNLP)Philipp Dufter, Hinrich Schütze2020 · 112 citations
- Findings of the WMT 2022 Shared Task on Quality EstimationConference on Machine Translation (WMT)Chrysoula Zerva, Frédéric Blain, Ricardo Rei, et al.2022 · 91 citations
- Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text IntegrationarXiv:2306.09093Chenyang Lyu, Minghao Wu, Longyue Wang, et al.2023 · 74 citations
- Beyond Correlation: Interpretable Evaluation of Machine Translation MetricsStefano Perrella, Lorenzo Proietti, Pere-Lluís Huguet Cabot, et al.2024 · 15 citations
- MTQE.en-he: Machine Translation Quality Estimation for English-HebrewWorkshop on Language Models for Low-Resource LanguagesAndy Rosenbaum, Assaf Siani, Ilan Kernerman2026 · 2 citations
- Hurdles of Automatic Metric for Speech Translation EvaluationInternational Conference on Spoken Language Translation (IWSLT)Victor Eugen Zarzu, Vilem Zouhar2026 · 1 citation
- PEAR: Pairwise Evaluation for Automatic Relative Scoring in Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Lorenzo Proietti, Roman Grundkiewicz, Matt Post2026 · 1 citation
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