Ji, Heng

A Survey of Knowledge-enhanced Text Generation

Yu, W., Zhu, C., Li, Z., Hu, Z., Wang, Q., Ji, H., & Jiang, M. (2022) · ACM Computing Surveys

Topic ModelingNatural Language Processing Techniques

Cited by 257

Tool Learning with Foundation Models

Qin, Y., Hu, S., Lin, Y., Chen, W., Ding, N., Cui, G., Zeng, Z., Huang, Y., Xiao, C., Han, C., et al. (2023) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 184

Efficient Attentions for Long Document Summarization

Huang, L., Cao, S., Parulian, N., Ji, H., & Wang, L. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingAdvanced Text Analysis Techniques

Cited by 146

CLIP-Event: Connecting Text and Images with Event Structures

Li, M., Xu, R., Wang, S., Zhou, L., Lin, X., Zhu, C., Zeng, M., Ji, H., & Chang, S.-F. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 117

InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection

Fung, Y., Thomas, C., Gangi Reddy, R., Polisetty, S., Ji, H., Chang, S.-F., McKeown, K., Bansal, M., & Sil, A. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Misinformation and Its ImpactsTopic Modeling

Cited by 52

Faking Fake News for Real Fake News Detection: Propaganda-loaded Training Data Generation

Huang, K.-H., McKeown, K., Nakov, P., Choi, Y., & Ji, H. (2022) · arXiv

Misinformation and Its ImpactsSpam and Phishing Detection

Cited by 46

OpenHands: An Open Platform for AI Software Developers as Generalist Agents

Wang, X., Li, B., Song, Y., Xu, F. F., Tang, X., Zhuge, M., Pan, J., Song, Y., Li, B., Singh, J., et al. (2024) · arXiv

Software Engineering ResearchArtificial Intelligence Applications

Cited by 24

CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models

Qian, C., Han, C., Fung, Y., Qin, Y., Liu, Z., & Ji, H. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Topic ModelingNatural Language Processing Techniques

Cited by 24

Executable Code Actions Elicit Better LLM Agents

Wang, X., Chen, Y., Yuan, L., Zhang, Y., Li, Y., Peng, H., & Ji, H. (2024) · arXiv

AI-based Problem Solving and PlanningSoftware Engineering Research

Cited by 23

Towards a Unified Multi-Dimensional Evaluator for Text Generation

Zhong, M., Liu, Y., Yin, D., Mao, Y., Jiao, Y., Liu, P., Zhu, C., Ji, H., & Han, J. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 7

Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation

Yan, K., Li, X., Ling, H., Ashen, K., Edwards, C., Arróyave, R., Zitnik, M., Ji, H., Qian, X., Qian, X., et al. (2025) · arXiv

Machine Learning in Materials ScienceTopic Modeling

Cited by 5

Training Software Engineering Agents and Verifiers with SWE-Gym

Pan, J., Wang, X., Neubig, G., Jaitly, N., Ji, H., Suhr, A., & Zhang, Y. (2024) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 2

Scientific Opinion Summarization: Paper Meta-review Generation Dataset, Methods, and Evaluation

Zeng, Q., Sidhu, M., Blume, A., Chan, H. P., Wang, L., & Ji, H. (2025) · Lecture Notes in Computer Science

Sentiment Analysis and Opinion MiningTopic Modeling

Cited by 2

Scientific Opinion Summarization: Paper Meta-review Generation Dataset, Methods, and Evaluation

Zeng, Q., Sidhu, M., Blume, A., Chan, H. P., Wang, L., & Ji, H. (2023) · arXiv

Sentiment Analysis and Opinion MiningTopic Modeling

Cited by 2

Acting Less is Reasoning More! Teaching Model to Act Efficiently

Wang, H., Qian, C., Zhong, W., Chen, X., Qiu, J., Huang, S., Jin, B., Wang, M., Wong, K.-F., & Ji, H. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Towards LifeSpan Cognitive Systems

Wang, Y., Han, C., Wu, T., He, X., Zhou, W., Sadeq, N., Chen, X., He, Z., Wang, W., Haffari, G., et al. (2024) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 0