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 | 804 | 2024 |
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 | 102 | 2019 |
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 | 100 | 2023 |
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 | 100 | 2020 |
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 | 93 | 2023 |
Can generative pre-trained language models serve as knowledge bases for closed-book qa? C Wang, P Liu, Y Zhang ACL 2021, 2021 | 66 | 2021 |
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 | 29* | 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, ... | 27* | |
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 | 20* | 2023 |
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 | 15 | 2021 |
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 | 14* | 2023 |
RFiD: Towards Rational Fusion-in-Decoder for Open-Domain Question Answering C Wang, H Yu, Y Zhang ACL-2023 findings, 2023 | 8 | 2023 |
Knowledgeable Salient Span Mask for Enhancing Language Models as Knowledge Base C Wang, F Luo, Y Li, R Xu, F Huang, Y Zhang CCF International Conference on Natural Language Processing and Chinese …, 2023 | 5* | 2023 |
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 | 4 | 2024 |
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 | 4 | 2024 |
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 | 3 | 2024 |
TRAMS: Training-free Memory Selection for Long-range Language Modeling H Yu, C Wang, Y Zhang, W Bi EMNLP 2023 findings, 2023 | 3 | 2023 |
Exploiting Abstract Meaning Representation for Open-Domain Question Answering C Wang, Z Xu, Q Guo, X Hu, X Bai, Z Zhang, Y Zhang ACL-2023 findings, 2023 | 3 | 2023 |
Commonsense knowledge graph reasoning by selection or generation? Why? C Wang, J Wu, L Liu, Y Zhang arXiv preprint arXiv:2008.05925, 2020 | 3 | 2020 |
Knowledge Conflicts for LLMs: A Survey R Xu, Z Qi, C Wang, H Wang, Y Zhang, W Xu arXiv preprint arXiv:2403.08319, 2024 | 2 | 2024 |