Wang, Xin Eric
University of California, Santa Cruz
11 papers on CoChatORCID 0000-0003-2605-5504
Most cited papers
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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
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Navgpt-2: Unleashing navigational reasoning capability for large vision-language models
Zhou, G., Hong, Y., Wang, Z., Wang, X. E., & Wu, Q. (2025) · Lecture Notes in Computer Science
Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics
Cited by 63
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TIGEr: Text-to-Image Grounding for Image Caption Evaluation
Jiang, M., Huang, Q., Zhang, L., Wang, X., Zhang, P., Gan, Z., Diesner, J., & Gao, J. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
Multimodal Machine Learning ApplicationsNatural Language Processing Techniques
Cited by 59
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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
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LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models
Agashe, S., Fan, Y., Reyna, A., & Wang, X. E. (2025) · Findings of the Association for Computational Linguistics: NAACL 2025
Multi-Agent Systems and NegotiationGame Theory and Applications
Cited by 32
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LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models
Agashe, S., Fan, Y., Reyna, A., & Wang, X. E. (2023) · arXiv
Multi-Agent Systems and NegotiationGame Theory and Applications
Cited by 32
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MiniGPT-5: Interleaved Vision-and-Language Generation via Generative Vokens
Zheng, K., He, X., & Wang, X. E. (2023) · arXiv
Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis
Cited by 15
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Agent S2: A Compositional Generalist-Specialist Framework for Computer Use Agents
Agashe, S., Wong, K., Tu, V., Yang, J., Li, A., & Wang, X. E. (2025) · arXiv
AI-based Problem Solving and PlanningInformation Retrieval and Search Behavior
Cited by 14
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JARVIS: A Neuro-Symbolic Commonsense Reasoning Framework for Conversational Embodied Agents
Zheng, K., Zhou, K., Gu, J., Fan, Y., Wang, J., Di, Z., He, X., & Wang, X. E. (2022) · arXiv
Speech and dialogue systemsAI-based Problem Solving and Planning
Cited by 13
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Agent S: An Open Agentic Framework that Uses Computers Like a Human
Agashe, S., Han, J., Gan, S., Yang, J., Li, A., & Wang, X. E. (2024) · arXiv
AI-based Problem Solving and PlanningInformation Retrieval and Search Behavior
Cited by 2
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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
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