Wang, William Yang

Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation

Wang, X., Huang, Q., Celikyilmaz, A., Gao, J., Shen, D., Wang, Y.-F., Wang, W. Y., & Zhang, L. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 522

REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments

Qi, Y., Wu, Q., Anderson, P., Wang, X., Wang, W. Y., Shen, C., & van den Hengel, A. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 331

On hallucination and predictive uncertainty in conditional language generation

Xiao, Y., & Wang, W. Y. (2021) · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume

Topic ModelingNatural Language Processing Techniques

Cited by 79

Multi-view Models for Political Ideology Detection of News Articles

Kulkarni, V., Ye, J., Skiena, S., & Wang, W. Y. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

Sentiment Analysis and Opinion MiningComputational and Text Analysis Methods

Cited by 71

Environment-Agnostic Multitask Learning for Natural Language Grounded Navigation

Wang, X. E., Jain, V., Ie, E., Wang, W. Y., Kozareva, Z., & Ravi, S. (2020) · Lecture Notes in Computer Science

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 54

Structure Learning via Parameter Learning

Wang, W. Y., Mazaitis, K., & Cohen, W. W. (2014) · Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management

Logic, Reasoning, and KnowledgeBayesian Modeling and Causal Inference

Cited by 47

MLGym: A New Framework and Benchmark for Advancing AI Research Agents

Nathani, D., Madaan, L., Roberts, N., Bashlykov, N., Menon, A., Moens, V., Budhiraja, A., Magka, D., Vorotilov, V., Chaurasia, G., et al. (2025) · arXiv

Artificial Intelligence ApplicationsReinforcement Learning in Robotics

Cited by 15

MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate

Amayuelas, A., Yang, X., Antoniades, A., Hua, W., Pan, L., & Wang, W. Y. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 15

Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models

Amayuelas, A., Wong, K., Pan, L., Chen, W., & Wang, W. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 15

A Survey on Data Selection for Language Models

Albalak, A., Elazar, Y., Xie, S. M., Longpre, S., Lambert, N., Wang, X., Muennighoff, N., Hou, B., Pan, L., Jeong, H., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 12

SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement

Antoniades, A., Örwall, A., Zhang, K., Xie, Y., Goyal, A., & Wang, W. (2024) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 3

Budget-Aware Tool-Use Enables Effective Agent Scaling

Liu, T., Wang, Z., Miao, J., Hsu, I.-H., Yan, J., Chen, J., Han, R., Xu, F., Chen, Y., Jiang, K., et al. (2025) · arXiv

Information Retrieval and Search BehaviorAI-based Problem Solving and Planning

Cited by 1

Agents of Change: Self-Evolving LLM Agents for Strategic Planning

Belle, N., Barnes, D., Amayuelas, A., Bercovich, I., Wang, X. E., & Wang, W. (2025) · arXiv

Artificial Intelligence in GamesAI-based Problem Solving and Planning

Cited by 0