Li, Juanzi

Parameter-efficient fine-tuning of large-scale pre-trained language models

Ding, N., Qin, Y., Yang, G., Wei, F., Yang, Z., Su, Y., Hu, S., Chen, Y., Chan, C.-M., Chen, W., et al. (2023) · Nature Machine Intelligence

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 1,191

KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation

Wang, X., Gao, T., Zhu, Z., Zhang, Z., Liu, Z., Li, J., & Tang, J. (2021) · Transactions of the Association for Computational Linguistics

Advanced Graph Neural NetworksTopic Modeling

Cited by 676

LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Bai, Y., Lv, X., Zhang, J., Lyu, H., Tang, J., Huang, Z., Du, Z., Liu, X., Zeng, A., Hou, L., et al. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 400

LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks

Bai, Y., Tu, S., Zhang, J., Peng, H., Wang, X., Lv, X., Cao, S., Xu, J., Hou, L., Dong, Y., et al. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingMultimodal Machine Learning Applications

Cited by 29

KoLA: Carefully Benchmarking World Knowledge of Large Language Models

Yu, J., Wang, X., Tu, S., Cao, S., Zhang-Li, D., Lv, X., Peng, H., Yao, Z., Zhang, X., Li, H., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 29

Finding Skill Neurons in Pre-trained Transformer-based Language Models

Wang, X., Wen, K., Zhang, Z., Hou, L., Liu, Z., & Li, J. (2022) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 28

Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models

Ding, N., Qin, Y., Yang, G., Wei, F., Yang, Z., Su, Y., Hu, S., Chen, Y., Chan, C.-M., Chen, W., et al. (2022) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 20

Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions

Cao, S., Zhang, J., Shi, J., Lv, X., Yao, Z., Tian, Q., Hou, L., & Li, J. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Topic ModelingInformation Retrieval and Search Behavior

Cited by 17

LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-context QA

Zhang, J., Bai, Y., Lv, X., Gu, W., Liu, D., Zou, M., Cao, S., Hou, L., Dong, Y., Feng, L., et al. (2024) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 14

LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Bai, Y., Lv, X., Zhang, J., Lyu, H., Tang, J., Huang, Z., Du, Z., Liu, X., Zeng, A., Hou, L., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 9

When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks

Peng, H., Wang, X., Chen, J., Li, W., Qi, Y., Wang, Z., Wu, Z., Zeng, K., Xu, B., Hou, L., et al. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 7

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

5 Team, Zeng, A., Lv, X., Zheng, Q., Hou, Z., Chen, B., Xie, C., Wang, C., Yin, D., Zeng, H., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 6

StoryWriter: A Multi-Agent Framework for Long Story Generation

Xia, H., Peng, H., Qi, Y., Xu, B., Li, J., Lei, H., & Wang, X. (2025) · Proceedings of the 34th ACM International Conference on Information and Knowledge Management

Topic ModelingArtificial Intelligence in Games

Cited by 4

LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs

Bai, Y., Zhang, J., Lv, X., Zheng, L., Zhu, S., Hou, L., Dong, Y., Tang, J., & Li, J. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks

Bai, Y., Tu, S., Zhang, J., Peng, H., Wang, X., Lv, X., Cao, S., Xu, J., Hou, L., Dong, Y., et al. (2024) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 2

VerIF: Verification Engineering for Reinforcement Learning in Instruction Following

Peng, H., Qi, Y., Wang, X., Xu, B., Hou, L., & Li, J. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2