Tang, Jie

Evaluating Large Language Models Trained on Code

Chen, M., Tworek, J., Jun, H., Yuan, Q., Pinto, H. P. D. O., Kaplan, J., Edwards, H., Burda, Y., Joseph, N., Brockman, G., et al. (2021) · arXiv

Software Engineering ResearchNatural Language Processing Techniques

Cited by 1,436

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

Dota 2 with Large Scale Deep Reinforcement Learning

OpenAI, :, Berner, C., Brockman, G., Chan, B., Cheung, V., Dębiak, P., Dennison, C., Farhi, D., Fischer, Q., et al. (2019) · arXiv

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 1,065

Pre-trained models: Past, present and future

Han, X., Zhang, Z., Ding, N., Gu, Y., Liu, X., Huo, Y., Qiu, J., Yao, Y., Zhang, A., Zhang, L., et al. (2021) · AI Open

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 994

GPT Understands, Too

Liu, X., Zheng, Y., Du, Z., Ding, M., Qian, Y., Yang, Z., & Tang, J. (2021) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 908

DeepInf: Social Influence Prediction with Deep Learning

Qiu, J., Tang, J., Ma, H., Dong, Y., Wang, K., & Tang, J. (2018) · Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Complex Network Analysis TechniquesRecommender Systems and Techniques

Cited by 587

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Zheng, Q., Xia, X., Zou, X., Dong, Y., Wang, S., Xue, Y., Shen, L., Wang, Z., Wang, A., Li, Y., et al. (2023) · Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Software Engineering ResearchTopic Modeling

Cited by 563

CogView: Mastering Text-to-Image Generation via Transformers

Ding, M., Yang, Z., Hong, W., Zheng, W., Zhou, C., Yin, D., Lin, J., Zou, X., Shao, Z., Yang, H., et al. (2021) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 450

Inferring social ties across heterogenous networks

Tang, J., Lou, T., & Kleinberg, J. (2012) · Proceedings of the fifth ACM international conference on Web search and data mining

Complex Network Analysis TechniquesInformation Retrieval and Data Mining

Cited by 289

Cognitive Graph for Multi-Hop Reading Comprehension at Scale

Ding, M., Zhou, C., Chen, Q., Yang, H., & Tang, J. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingInformation Retrieval and Search Behavior

Cited by 222

CogVLM: Visual Expert for Pretrained Language Models

Wang, W., Lv, Q., Yu, W., Hong, W., Qi, J., Wang, Y., Ji, J., Yang, Z., Zhao, L., Song, X., et al. (2023) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 217

CogAgent: A Visual Language Model for GUI Agents

Hong, W., Wang, W., Lv, Q., Xu, J., Yu, W., Ji, J., Wang, Y., Wang, Z., Dong, Y., Ding, M., et al. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsInformation Retrieval and Search Behavior

Cited by 202

ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Zhang, D., Zhoubian, S., Hu, Z., Yue, Y., Dong, Y., & Tang, J. (2024) · Advances in Neural Information Processing Systems 37

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 93

AgentBench: Evaluating LLMs as Agents

Liu, X., Yu, H., Zhang, H., Xu, Y., Lei, X., Lai, H., Gu, Y., Ding, H., Men, K., Yang, K., et al. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 79

WuDaoCorpora: A super large-scale Chinese corpora for pre-training language models

Yuan, S., Zhao, H., Du, Z., Ding, M., Liu, X., Cen, Y., Zou, X., Yang, Z., & Tang, J. (2021) · AI Open

Topic ModelingNatural Language Processing Techniques

Cited by 67

AgentTuning: Enabling Generalized Agent Abilities for LLMs

Zeng, A., Liu, M., Lu, R., Wang, B., Liu, X., Dong, Y., & Tang, J. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 40

ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Zhang, D., Zhoubian, S., Hu, Z., Yue, Y., Dong, Y., & Tang, J. (2024) · arXiv

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 32

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

Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments

Gu, Y., Shu, Y., Yu, H., Liu, X., Dong, Y., Tang, J., Srinivasa, J., Latapie, H., & Su, Y. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 28

CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Yang, Z., Teng, J., Zheng, W., Ding, M., Huang, S., Xu, J., Yang, Y., Hong, W., Zhang, X., Feng, G., et al. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 25

Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft

Kanitscheider, I., Huizinga, J., Farhi, D., Guss, W. H., Houghton, B., Sampedro, R., Zhokhov, P., Baker, B., Ecoffet, A., Tang, J., et al. (2021) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 9

A Survey of Post-Training Scaling in Large Language Models

Lai, H., Liu, X., Gao, J., Cheng, J., Qi, Z., Xu, Y., Yao, S., Zhang, D., Du, J., Hou, Z., et al. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 8

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