Who cites Liang Xu
- Qwen Technical ReportJinze Bai, Shuai Bai, Yunfei Chu, et al.2023 · 1,645 citations
- Pre-Training with Whole Word Masking for Chinese BERTYiming Cui, Wanxiang Che, Ting Liu, et al.2019 · 1,490 citations
- A Comprehensive Overview of Large Language ModelsHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,286 citations
- C-Pack: Packed Resources For General Chinese EmbeddingsShitao Xiao, Zheng Liu, Peitian Zhang, et al.2023 · 920 citations
- GLM-130B: An Open Bilingual Pre-trained ModelAohan Zeng, Xiao Liu, Zhengxiao Du, et al.2022 · 779 citations
- IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian LanguagesDivyanshu Kakwani, Anoop Kunchukuttan, Satish Golla, et al.2020 · 730 citations
- Crosslingual Generalization through Multitask FinetuningNiklas Muennighoff, Thomas Wang, Lintang Sutawika, et al.2022 · 695 citations
- How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source SuitesZhe Chen, Weiyun Wang, Hao Tian, et al.2024 · 529 citations
- PPT: Pre-trained Prompt Tuning for Few-shot LearningYuxian Gu, Xu Han, Zhiyuan Liu, et al.2022 · 469 citations
- C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation ModelsYuzhen Huang, Yuzhuo Bai, Zhihao Zhu, et al.2023 · 428 citations
- Kimi k1.5: Scaling Reinforcement Learning with LLMsKimi Team, Angang Du, Bofei Gao, et al.2025 · 413 citations
- CMMLU: Measuring massive multitask language understanding in ChineseHaonan Li, Yixuan Zhang, Fajri Koto, et al.2023 · 385 citations
- ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and GenerationYu Sun, Shuohuan Wang, Shikun Feng, et al.2021 · 328 citations
- Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for LittleKoustuv Sinha, Robin Jia, Dieuwke Hupkes, et al.2021 · 292 citations
- Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time ScalingZhe Chen, Weiyun Wang, Yue Cao, et al.2024 · 276 citations
- IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language UnderstandingBryan Wilie, Karissa Vincentio, Genta Indra Winata, et al.2020 · 265 citations
- Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelAhmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 245 citations
- CLUE: A Chinese Language Understanding Evaluation BenchmarkLiang Xu, Hai Hu, Xuanwei Zhang, et al.2020 · 243 citations
- DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code IntelligenceDeepSeek-AI, Qihao Zhu, Daya Guo, et al.2024 · 195 citations
- PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning OptimizationYidong Wang, Zhuohao Yu, Zhengran Zeng, et al.2023 · 192 citations
- LawBench: Benchmarking Legal Knowledge of Large Language ModelsZhiwei Fei, Xiaoyu Shen, Dawei Zhu, et al.2023 · 186 citations
- Evaluating Large Language Models: A Comprehensive SurveyZishan Guo, Renren Jin, Chuang Liu, et al.2023 · 178 citations
- ShortGPT: Layers in Large Language Models are More Redundant Than You ExpectXin Men, Mingyu Xu, Qingyu Zhang, et al.2024 · 167 citations
- PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel ComputationWei Zeng, Xiaozhe Ren, Teng Su, et al.2021 · 161 citations
- Lawyer LLaMA Technical ReportQuzhe Huang, Mingxu Tao, Chen Zhang, et al.2023 · 156 citations
- ChatGPT MT: Competitive for High- (but Not Low-) Resource LanguagesNathaniel Robinson, Perez Ogayo, David R. Mortensen, et al.2023 · 151 citations
- BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized DataHaoyu Song, Yan Wang, Kaiyan Zhang, et al.2021 · 149 citations
- CPM: A Large-scale Generative Chinese Pre-trained Language ModelZhengyan Zhang, Xu Han, Hao Zhou, et al.2020 · 149 citations
- OCNLI: Original Chinese Natural Language InferenceHai Hu, Kyle Richardson, Liang Xu, et al.2020 · 147 citations
- UnNatural Language InferenceKoustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, et al.2021 · 132 citations
- LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal DomainJoel Niklaus, Veton Matoshi, Pooja Rani, et al.2023 · 123 citations
- DeepSeek-V4: Towards Highly Efficient Million-Token Context IntelligenceDeepSeek-AI, Anyi Xu, Bangcai Lin, et al.2026 · 117 citations
- LongAlign: A Recipe for Long Context Alignment of Large Language ModelsYushi Bai, Xin Lv, Jiajie Zhang, et al.2024 · 97 citations
- JGLUE: Japanese General Language Understanding EvaluationKentaro Kurihara, Daisuke Kawahara, Tomohide Shibata2022 · 90 citations
- BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual TransferAkari Asai, Sneha Kudugunta, Xinyan Yu, et al.2024 · 85 citations
- SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural ReasoningBin Wang, Zhengyuan Liu, Xin Huang, et al.2024 · 85 citations
- NL-Augmenter: A Framework for Task-Sensitive Natural Language AugmentationKaustubh Dhole, Varun Gangal, Sebastian Gehrmann, et al.2023 · 85 citations
- ORCA: A Challenging Benchmark for Arabic Language UnderstandingAbdelRahim Elmadany, ElMoatez Billah Nagoudi, Muhammad Abdul-Mageed2023 · 83 citations
- AlignBench: Benchmarking Chinese Alignment of Large Language ModelsXiao Liu, Xuanyu Lei, Shengyuan Wang, et al.2023 · 73 citations
- ScandEval: A Benchmark for Scandinavian Natural Language ProcessingDan Nielsen2023 · 73 citations
- CBLUE: A Chinese Biomedical Language Understanding Evaluation BenchmarkNingyu Zhang, Mosha Chen, Zhen Bi, et al.2021 · 71 citations
- Culturally Aware Natural Language InferenceJing Huang, Diyi Yang2023 · 61 citations
- English Machine Reading Comprehension Datasets: A SurveyDaria Dzendzik, Jennifer Foster, Carl Vogel2021 · 54 citations
- JABER and SABER: Junior and Senior Arabic BERtAbbas Ghaddar, Yimeng Wu, Ahmad Rashid, et al.2021 · 16 citations
- ArNLI: Arabic Natural Language Inference for Entailment and Contradiction DetectionKhloud Al Jallad, Nada Ghneim2022 · 9 citations
- Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language UnderstandingAbbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.2022 · 9 citations
- Large Language Models Put to the Test on Chinese Noun Compounds: Experiments on Natural Language Inference and Compound SemanticsLe Qiu, Emmanuele Chersoni, He Zhou, et al.2026
- Survey on Hallucinations in Large Language Models (大语言模型的幻觉问题研究综述)Zeyuan Liu (刘泽垣), Pengjiang Wang (王鹏江), Xiaobin Song (宋晓斌), et al.2024
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