Boxi Cao

According to our database, Boxi Cao authored at least 20 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The Life Cycle of Knowledge in Big Language Models: A Survey.

Boxi Cao, Hongyu Lin, Xianpei Han, Le Sun

Mach. Intell. Res., April, 2024

Multi-Facet Counterfactual Learning for Content Quality Evaluation.

Jiasheng Zheng, Hongyu Lin, Boxi Cao, Meng Liao, Yaojie Lu, Xianpei Han, Le Sun

CoRR, 2024

Critic-CoT: Boosting the reasoning abilities of large language model via Chain-of-thoughts Critic.

Xin Zheng, Jie Lou, Boxi Cao, Xueru Wen, Yuqiu Ji, Hongyu Lin, Yaojie Lu, Xianpei Han, Debing Zhang, Le Sun

CoRR, 2024

Beyond Correctness: Benchmarking Multi-dimensional Code Generation for Large Language Models.

Jiasheng Zheng, Boxi Cao, Zhengzhao Ma, Ruotong Pan, Hongyu Lin, Yaojie Lu, Xianpei Han, Le Sun

CoRR, 2024

Towards Scalable Automated Alignment of LLMs: A Survey.

Boxi Cao, Keming Lu, Xinyu Lu, Jiawei Chen, Mengjie Ren, Hao Xiang, Peilin Liu, Yaojie Lu, Ben He, Xianpei Han, Le Sun, Hongyu Lin, Bowen Yu

CoRR, 2024

URL: Universal Referential Knowledge Linking via Task-instructed Representation Compression.

Zhuoqun Li, Hongyu Lin, Tianshu Wang, Boxi Cao, Yaojie Lu, Weixiang Zhou, Hao Wang, Zhenyu Zeng, Le Sun, Xianpei Han

CoRR, 2024

Towards Universal Dense Blocking for Entity Resolution.

Tianshu Wang, Hongyu Lin, Xianpei Han, Xiaoyang Chen, Boxi Cao, Le Sun

CoRR, 2024

Spiral of Silences: How is Large Language Model Killing Information Retrieval? - A Case Study on Open Domain Question Answering.

Xiaoyang Chen, Ben He, Hongyu Lin, Xianpei Han, Tianshu Wang, Boxi Cao, Le Sun, Yingfei Sun

CoRR, 2024

Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation.

Ruotong Pan, Boxi Cao, Hongyu Lin, Xianpei Han, Jia Zheng, Sirui Wang, Xunliang Cai, Le Sun

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Retentive or Forgetful? Diving into the Knowledge Memorizing Mechanism of Language Models.

Boxi Cao, Qiaoyu Tang, Hongyu Lin, Shanshan Jiang, Bin Dong, Xianpei Han, Jiawei Chen, Tianshu Wang, Le Sun

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Learning or Self-aligning? Rethinking Instruction Fine-tuning.

Mengjie Ren, Boxi Cao, Hongyu Lin, Cao Liu, Xianpei Han, Ke Zeng, Guanglu Wan, Xunliang Cai, Le Sun

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Spiral of Silence: How is Large Language Model Killing Information Retrieval? - A Case Study on Open Domain Question Answering.

Xiaoyang Chen, Ben He, Hongyu Lin, Xianpei Han, Tianshu Wang, Boxi Cao, Le Sun, Yingfei Sun

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

StructEval: Deepen and Broaden Large Language Model Assessment via Structured Evaluation.

Boxi Cao, Mengjie Ren, Hongyu Lin, Xianpei Han, Feng Zhang, Junfeng Zhan, Le Sun

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Retentive or Forgetful? Diving into the Knowledge Memorizing Mechanism of Language Models.

Boxi Cao, Qiaoyu Tang, Hongyu Lin, Xianpei Han, Jiawei Chen, Tianshu Wang, Le Sun

CoRR, 2023

Does the Correctness of Factual Knowledge Matter for Factual Knowledge-Enhanced Pre-trained Language Models?

Boxi Cao, Qiaoyu Tang, Hongyu Lin, Xianpei Han, Le Sun

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Learning In-context Learning for Named Entity Recognition.

Jiawei Chen, Yaojie Lu, Hongyu Lin, Jie Lou, Wei Jia, Dai Dai, Hua Wu, Boxi Cao, Xianpei Han, Le Sun

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Pre-training to Match for Unified Low-shot Relation Extraction.

Fangchao Liu, Hongyu Lin, Xianpei Han, Boxi Cao, Le Sun

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Can Prompt Probe Pretrained Language Models? Understanding the Invisible Risks from a Causal View.

Boxi Cao, Hongyu Lin, Xianpei Han, Fangchao Liu, Le Sun

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark.

Yuan Yao, Qingxiu Dong, Jian Guan, Boxi Cao, Zhengyan Zhang, Chaojun Xiao, Xiaozhi Wang, Fanchao Qi, Junwei Bao, Jinran Nie, Zheni Zeng, Yuxian Gu, Kun Zhou, Xuancheng Huang, Wenhao Li, Shuhuai Ren, Jinliang Lu, Chengqiang Xu, Huadong Wang, Guoyang Zeng, Zile Zhou, Jiajun Zhang, Juanzi Li, Minlie Huang, Rui Yan, Xiaodong He, Xiaojun Wan, Xin Zhao, Xu Sun, Yang Liu, Zhiyuan Liu, Xianpei Han, Erhong Yang, Zhifang Sui, Maosong Sun

CoRR, 2021

Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases.

Boxi Cao, Hongyu Lin, Xianpei Han, Le Sun, Lingyong Yan, Meng Liao, Tong Xue, Jin Xu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021