Hu, Zhiting

Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation

Li, C. Y., Liang, X., Hu, Z., & Xing, E. P. (2018) · arXiv

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 271

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

Reasoning with Language Model is Planning with World Model

Hao, S., Gu, Y., Ma, H., Hong, J., Wang, Z., Wang, D., & Hu, Z. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

AI-based Problem Solving and PlanningTopic Modeling

Cited by 168

Reasoning with Language Model is Planning with World Model

Hao, S., Gu, Y., Ma, H., Hong, J. J., Wang, Z., Wang, D. Z., & Hu, Z. (2023) · arXiv

AI-based Problem Solving and PlanningTopic Modeling

Cited by 166

AlignScore: Evaluating factual consistency with a unified alignment function

Zha, Y., Yang, Y., Li, R., & Hu, Z. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 81

Progressive Generation of Long Text with Pretrained Language Models

Tan, B., Yang, Z., Al-Shedivat, M., Xing, E., & Hu, Z. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingNatural Language Processing Techniques

Cited by 69

Efficient (Soft) Q-Learning for Text Generation with Limited Good Data

Guo, H., Tan, B., Liu, Z., Xing, E. P., & Hu, Z. (2021) · arXiv

Topic ModelingReinforcement Learning in Robotics

Cited by 20

Training Large Language Models to Reason in a Continuous Latent Space

Hao, S., Sukhbaatar, S., Su, D., Li, X., Hu, Z., Weston, J., & Tian, Y. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 18

RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning

Deng, M., Wang, J., Hsieh, C.-P., Wang, Y., Guo, H., Shu, T., Song, M., Xing, E. P., & Hu, Z. (2022) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 14

LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models

Hao, S., Gu, Y., Luo, H., Liu, T., Shao, X., Wang, X., Xie, S., Ma, H., Samavedhi, A., Gao, Q., et al. (2024) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 4

LLM360: Towards Fully Transparent Open-Source LLMs

Liu, Z., Qiao, A., Neiswanger, W., Wang, H., Tan, B., Tao, T., Li, J., Wang, Y., Sun, S., Pangarkar, O., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

Pandora: Towards General World Model with Natural Language Actions and Video States

Xiang, J., Liu, G., Gu, Y., Gao, Q., Ning, Y., Zha, Y., Feng, Z., Tao, T., Hao, S., Shi, Y., et al. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 1