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with Applications, 141:112948. Xieling Chen, Haoran Xie, Zongxi Li, and Gary Cheng. 2021. Topic 2021. ACM. Chengbin Wang, Xiaogang Ma, Jianguo Chen, and Jingwen Chen. 2018a. Information extraction . (2021), Wang et al. (2021b) Entity linking 38 Kartsaklis et al. (2018), Moon et al. (2018), Chen et al redundancy and repetition in future tasks (Gangemi et al., 2016; Chen et al., 2018). Coming up with the Chen et al. (2021). We identified China and the United States as the most active countries shaping the

snippets as well as context recency and popularity for biomedi- cal QA. Chen et al. (2024a) evaluated Campus 2.0 (TU München). References AI@Meta. 2024. Llama 3 model card. Chenxin An, Ming Zhong , Fei Huang, Binyuan Hui, Luo Ji, Mei Li, Junyang Lin, Runji Lin, Dayiheng Liu, Gao Liu, Chengqiang Lu conference on research and development in information retrieval, pages 3417–3419. Danqi Chen, Adam . Jiawei Chen, Hongyu Lin, Xianpei Han, and Le Sun. 2024a. Benchmarking large language models in

. Pengcheng He, Jianfeng Gao, and Weizhu Chen. 2021a. Debertav3: Improving deberta using electra-style pre , Xiaodong Liu, Jianfeng Gao, and Weizhu Chen. 2021b. Deberta: Decoding-enhanced bert with disentangled Chen, and Alexander Wong. 2020. Umls- bert: Clinical domain knowledge augmentation of contextual Linguistics. 1869 Tal Schuster, Sihao Chen, Senaka Buthpitiya, Alex Fabrikant, and , pages 353–355. Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu, David McAllester, and Dan Roth. 2019

Chen, Eric Sigler, Ma- teusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam - tional Linguistics. Tianyu Gao, Adam Fisch, and Danqi Chen. 2021a. Making pre-trained language Gao, Xingcheng Yao, and Danqi Chen. 2021b. SimCSE: Simple contrastive learning of sentence em Goyal, Cynthia Gao, Vishrav Chaudhary, Peng- Jen Chen, Guillaume Wenzek, Da Ju, Sanjana Kr- ishnan , Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao

., 2020; Moryossef et al., 2019; Su et al., 2021). Concerning pre-trained language models, Chen et al , Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Ma- teusz Litwin, Scott Gray Computational Lin- guistics. Zhiyu Chen, Harini Eavani, Wenhu Chen, Yinyin Liu, and William Yang Chen. 2022. LoRA: Low-rank adaptation of large language models. In International Conference on Xin Zhao, and Ji rong Wen. 2021. Pretrained language models for text gen- eration: A survey. In

, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Linguistics. Tianyu Gao, Adam Fisch, and Danqi Chen. 2021. Making pre-trained language models better few , Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2022. LoRA: Low-rank adaptation of Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019. Roberta: A robustly , Chelsea Carlson, Rory Carmichael, Brooke Chan, Che Chang, Fotis Chantzis, Derek Chen, Sully Chen, Ruby

, 2018; Fernandes et al., 2019; Yue et al., 2021; Chen et al., 2023; Carvalho et al., 2023 on Data Mining (SDM), pages 883–890. SIAM. Sai Chen, Fengran Mo, Yanhao Wang, Cen Chen, Jian- Yun Nie, Chengyu Wang, and Jamie Cui. 2023. A customized text sanitization mechanism with differ- ential , Al- bert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdh- ery , Dominican Republic. Association for Computational Linguistics. Pengcheng He, Jianfeng Gao, and Weizhu Chen

Winter, Chris Hesse, Mark Chen, Eric Sigler, Ma- teusz Litwin, Scott Gray, Benjamin Chess, Jack Clark , pages 1877–1901. Curran Associates, Inc. Tianqi Chen and Carlos Guestrin. 2016. XGBoost: A Scalable , Italy. Association for Computational Lin- guistics. Biyang Guo, Xin Zhang, Ziyuan Wang, Minqi , Zeyuan Chen, Michael Backes, and Yang Zhang. 2023. MGTBench: Benchmarking Machine-Generated Text , Xinyuan Cheng, Yiwen Zhang, and Hai Hu. 2023. ArguGPT: Evaluating, understanding and identifying

Computational Linguistics. Tianyu Gao, Xingcheng Yao, and Danqi Chen. 2021. SimCSE: Simple contrastive Computational Linguistics. Hongyu Gong, Yelong Shen, Dian Yu, Jianshu Chen, and Dong Yu. 2020 Shen, Brandon Stilson, Alex D. Wade, Kuansan Wang, Nancy Xin Ru Wang, Christopher Wilhelm, Boya Xie Zhang, Xin Li, Yang Deng, Lidong Bing, and Wai Lam. 2021. Towards generative aspect-based sentiment

. Pubmed: the bibli- ographic database. The NCBI handbook, 2(1). Danqi Chen and Wen-tau Yih. 2020a. Open computational linguistics: tutorial abstracts, pages 34–37. Danqi Chen and Wen-tau Yih. 2020b. Open , Xiaodong Liu, Jianfeng Gao, and Weizhu Chen. 2021. Deberta: Decoding-enhanced bert with disentangled , Huaiyuan Ying, Chuanqi Tan, Mosha Chen, Song- fang Huang, Xiaozhong Liu, and Sheng Yu. 2022. Biomedical Linguistics. Hui-Xin Wang, Maria Wahlberg, Anita Karp, Bengt Winblad, and Laura Fratiglioni. 2020