Cunxiang Wang

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	Toutes	Depuis 2020
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Coauteurs

Yue ZhangWestlake UniversityAdresse e-mail validée de wias.org.cn
Jindong WangAssistant Professor, William & Mary; Ex Senior Researcher, Microsoft ResearchAdresse e-mail validée de wm.edu
Xing Xie 谢幸Partner Research Manager, Microsoft, ACM Fellow, IEEE Fellow, CCF FellowAdresse e-mail validée de microsoft.com
Yidong Wang (王一栋)Ph.D. candidate @ PKU | M.Eng. @ TokyoTech | B.S. @ NJUAdresse e-mail validée de stu.pku.edu.cn
Qiang Yang (杨强）Chief AI Officer@WeBank, Prof. Emeritus @HKUST, IJCAI President 2017-19, AAAI-21 General ChairAdresse e-mail validée de cse.ust.hk
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoAdresse e-mail validée de cs.uic.edu
Yuanhao YueFudan UniversityAdresse e-mail validée de m.fudan.edu.cn
Xiaoze LiuPurdue UniversityAdresse e-mail validée de purdue.edu
Liang ShuailongTiktokAdresse e-mail validée de bytedance.com
Yunzhi YaoUniversity of California, Los Angeles；Zhejiang UniversityAdresse e-mail validée de g.ucla.edu
Qipeng GuoFudan UniversityAdresse e-mail validée de fudan.edu.cn
Xiaodan ZhuECE & Ingenuity Labs Research Institute, Queen's University, CanadaAdresse e-mail validée de queensu.ca
Pai LiuUniversity of RochesterAdresse e-mail validée de ur.rochester.edu
Guangsheng BaoPh.D. Candidate, Westlake University & Zhejiang University.Adresse e-mail validée de westlake.edu.cn
Hongbo ZhangWestlake University; Zhejiang UniversityAdresse e-mail validée de westlake.edu.cn
Ruoxi NingUniversity of WaterlooAdresse e-mail validée de uwaterloo.ca
Zheng ZhangProfessor of Computer Science and Engineering, NYU Shanghai; Director, Amazon Shanghai AI LabAdresse e-mail validée de nyu.edu
Feiliang RenNortheastern UniversityAdresse e-mail validée de ise.neu.edu.cn
Minlie HuangTsinghua UniversityAdresse e-mail validée de tsinghua.edu.cn
Tang JieWeBank Chair Professor, Tsinghua UniversityAdresse e-mail validée de tsinghua.edu.cn

Suivre

Cunxiang Wang

Tsinghua University; ZhipuAI

Adresse e-mail validée de westlake.edu.cn - Page d'accueil

Large Language Models LLM Evaluation Alignment


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
A survey on evaluation of large language models Y Chang, X Wang, J Wang, Y Wu, L Yang, K Zhu, H Chen, X Yi, C Wang, ... ACM Transactions on Intelligent Systems and Technology 15 (3), 1-45, 2024	2090	2024
Survey on factuality in large language models: Knowledge, retrieval and domain-specificity C Wang, X Liu, Y Yue, X Tang, T Zhang, C Jiayang, Y Yao, W Gao, X Hu, ... arXiv preprint arXiv:2310.07521, 2023	184	2023
Pandalm: An automatic evaluation benchmark for llm instruction tuning optimization Y Wang, Z Yu, Z Zeng, L Yang, C Wang, H Chen, C Jiang, R Xie, J Wang, ... ICLR 2024, 2023	179	2023
Does It Make Sense? And Why? A Pilot Study for Sense Making and Explanation C Wang, S Liang, Y Zhang, X Li, T Gao ACL 2019, 4020–4026, 2019	120	2019
SemEval-2020 task 4: Commonsense validation and explanation C Wang, S Liang, Y Jin, Y Wang, X Zhu, Y Zhang SemEval-2020 Task track, 2020	112	2020
Can generative pre-trained language models serve as knowledge bases for closed-book qa? C Wang, P Liu, Y Zhang ACL 2021, 2021	83	2021
A survey on evaluation of large language models. arXiv Y Chang, X Wang, J Wang, Y Wu, L Yang, K Zhu, H Chen, X Yi, C Wang, ... Preprint posted online on Dec 29, 2023	62*	2023
Knowledge conflicts for llms: A survey R Xu, Z Qi, Z Guo, C Wang, H Wang, Y Zhang, W Xu arXiv preprint arXiv:2403.08319, 2024	53	2024
Evaluating Open-QA Evaluation C Wang, S Cheng, Q Guo, Y Yue, B Ding, Z Xu, Y Wang, X Hu, Z Zhang, ... Advances in Neural Information Processing Systems 36, 2023	51*	2023
A survey on evaluation of large language models (2023) Y Chang, X Wang, J Wang, Y Wu, L Yang, K Zhu, H Chen, X Yi, C Wang, ...	31*
A survey on evaluation of large language models. arXiv Y Chang, X Wang, J Wang, Y Wu, L Yang, K Zhu, H Chen, X Yi, C Wang, ... Preprint posted online on Dec 29, 2023	24	2023
Llms with chain-of-thought are non-causal reasoners G Bao, H Zhang, L Yang, C Wang, Y Zhang arXiv preprint arXiv:2402.16048, 2024	23	2024
Exploring generalization ability of pretrained language models on arithmetic and logical reasoning C Wang, B Zheng, Y Niu, Y Zhang Natural Language Processing and Chinese Computing: 10th CCF International …, 2021	21	2021
RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering C Wang, H Yu, Y Zhang Findings of the Association for Computational Linguistics: ACL 2023, 2023	16	2023
A survey on evaluation of large language models. arXiv 2023 Y Chang, X Wang, J Wang, Y Wu, K Zhu, H Chen, L Yang, X Yi, C Wang, ... arXiv preprint arXiv:2307.03109 10, 2023	16*	2023
Self-DC: When to retrieve and When to generate? Self Divide-and-Conquer for Compositional Unknown Questions H Wang, B Xue, B Zhou, T Zhang, C Wang, G Chen, H Wang, K Wong arXiv preprint arXiv:2402.13514, 2024	13	2024
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization Y Wang, Z Yu, Z Zeng, L Yang, C Wang, H Chen, C Jiang, R Xie, J Wang, ...	13*	2023
SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation X Liu, T Sun, T Xu, F Wu, C Wang, X Wang, J Gao arXiv preprint arXiv:2406.12975, 2024	10	2024
Novelqa: A benchmark for long-range novel question answering C Wang, R Ning, B Pan, T Wu, Q Guo, C Deng, G Bao, Q Wang, Y Zhang arXiv preprint arXiv:2403.12766, 2024	10	2024
Ragchecker: A fine-grained framework for diagnosing retrieval-augmented generation D Ru, L Qiu, X Hu, T Zhang, P Shi, S Chang, C Jiayang, C Wang, S Sun, ... arXiv preprint arXiv:2408.08067, 2024	8	2024

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