| Knowledgeable or educated guess? revisiting language models as knowledge bases B Cao, H Lin, X Han, L Sun, L Yan, M Liao, T Xue, J Xu arXiv preprint arXiv:2106.09231, 2021 | 141 | 2021 |
| ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases Q Tang, Z Deng, H Lin, X Han, Q Liang, B Cao, L Sun arXiv preprint arXiv:2306.05301, 2023 | 100 | 2023 |
| Can prompt probe pretrained language models? understanding the invisible risks from a causal view B Cao, H Lin, X Han, F Liu, L Sun arXiv preprint arXiv:2203.12258, 2022 | 36 | 2022 |
| Pre-training to match for unified low-shot relation extraction F Liu, H Lin, X Han, B Cao, L Sun arXiv preprint arXiv:2203.12274, 2022 | 33 | 2022 |
| Learning in-context learning for named entity recognition J Chen, Y Lu, H Lin, J Lou, W Jia, D Dai, H Wu, B Cao, X Han, L Sun arXiv preprint arXiv:2305.11038, 2023 | 27 | 2023 |
| The life cycle of knowledge in big language models: A survey B Cao, H Lin, X Han, L Sun Machine Intelligence Research 21 (2), 217-238, 2024 | 16 | 2024 |
| Cuge: A chinese language understanding and generation evaluation benchmark Y Yao, Q Dong, J Guan, B Cao, Z Zhang, C Xiao, X Wang, F Qi, J Bao, ... arXiv preprint arXiv:2112.13610, 2021 | 14 | 2021 |
| Retentive or forgetful? diving into the knowledge memorizing mechanism of language models B Cao, Q Tang, H Lin, S Jiang, B Dong, X Han, J Chen, T Wang, L Sun arXiv preprint arXiv:2305.09144, 2023 | 11 | 2023 |
| Learning or self-aligning? rethinking instruction fine-tuning M Ren, B Cao, H Lin, C Liu, X Han, K Zeng, G Wan, X Cai, L Sun arXiv preprint arXiv:2402.18243, 2024 | 10 | 2024 |
| Towards Scalable Automated Alignment of LLMs: A Survey B Cao, K Lu, X Lu, J Chen, M Ren, H Xiang, P Liu, Y Lu, B He, X Han, ... arXiv preprint arXiv:2406.01252, 2024 | 7 | 2024 |
| Spiral of Silences: How is Large Language Model Killing Information Retrieval?--A Case Study on Open Domain Question Answering X Chen, B He, H Lin, X Han, T Wang, B Cao, L Sun, Y Sun arXiv preprint arXiv:2404.10496, 2024 | 7 | 2024 |
| Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation R Pan, B Cao, H Lin, X Han, J Zheng, S Wang, X Cai, L Sun arXiv preprint arXiv:2404.06809, 2024 | 4 | 2024 |
| Critic-cot: Boosting the reasoning abilities of large language model via chain-of-thoughts critic X Zheng, J Lou, B Cao, X Wen, Y Ji, H Lin, Y Lu, X Han, D Zhang, L Sun arXiv preprint arXiv:2408.16326, 2024 | 2 | 2024 |
| StructEval: Deepen and Broaden Large Language Model Assessment via Structured Evaluation B Cao, M Ren, H Lin, X Han, F Zhang, J Zhan, L Sun arXiv preprint arXiv:2408.03281, 2024 | 1 | 2024 |
| URL: Universal Referential Knowledge Linking via Task-instructed Representation Compression Z Li, H Lin, T Wang, B Cao, Y Lu, W Zhou, H Wang, Z Zeng, L Sun, X Han arXiv preprint arXiv:2404.16248, 2024 | 1 | 2024 |
| Does the Correctness of Factual Knowledge Matter for Factual Knowledge-Enhanced Pre-trained Language Models? B Cao, Q Tang, H Lin, X Han, L Sun Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 1 | 2023 |
| Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering X Guan, Y Liu, X Lu, B Cao, B He, X Han, L Sun, J Lou, B Yu, Y Lu, H Lin arXiv preprint arXiv:2411.11504, 2024 | | 2024 |
| Multi-Facet Counterfactual Learning for Content Quality Evaluation J Zheng, H Lin, B Cao, M Liao, Y Lu, X Han, L Sun arXiv preprint arXiv:2410.07693, 2024 | | 2024 |
| Beyond Correctness: Benchmarking Multi-dimensional Code Generation for Large Language Models J Zheng, B Cao, Z Ma, R Pan, H Lin, Y Lu, X Han, L Sun arXiv preprint arXiv:2407.11470, 2024 | | 2024 |
| Towards Universal Dense Blocking for Entity Resolution T Wang, H Lin, X Han, X Chen, B Cao, L Sun arXiv preprint arXiv:2404.14831, 2024 | | 2024 |
Han XianpeiProfessor, Institute of Software, Chinese Academy of SciencesDirección de correo verificada de iscas.ac.cn