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OPEx: A Large Language Model-Powered Framework for Embodied Instruction Following.

H. Shi, Z. Sun, X. Yuan, M. Côté, и B. Liu. AAMAS, стр. 2465-2467. International Foundation for Autonomous Agents and Multiagent Systems / ACM, (2024)

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Haochen Yu

Zhanjun Shi

Jian Shi

Renhu Shi

Shi Li

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BOSS: Bottom-up Cross-modal Semantic Composition with Hybrid Counterfactual Training for Robust Content-based Image Retrieval.W. Zhang, J. Guo, M. Li, H. Shi, S. Zhang, J. Li, S. Tang, и Y. Zhuang. CoRR, (2022)Semi-supervised Active Learning for Semi-supervised Models: Exploit Adversarial Examples with Graph-based Virtual Labels.J. Guo, H. Shi, Y. Kang, K. Kuang, S. Tang, Z. Jiang, C. Sun, F. Wu, и Y. Zhuang. ICCV, стр. 2876-2885. IEEE, (2021)Consensus Graph Representation Learning for Better Grounded Image Captioning.W. Zhang, H. Shi, S. Tang, J. Xiao, Q. Yu, и Y. Zhuang. AAAI, стр. 3394-3402. AAAI Press, (2021)A bidirectional framework for fracture simulation and deformation-based restoration prediction in pelvic fracture surgical planning.B. Zeng, H. Wang, X. Tao, H. Shi, L. Joskowicz, и X. Chen. Medical Image Anal., (2024)AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph.Z. Wang, H. Shi, W. Wang, T. Fang, H. Zhang, S. Choi, X. Liu, и Y. Song. CoRR, (2023)OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following.H. Shi, Z. Sun, X. Yuan, M. Côté, и B. Liu. ACL (1), стр. 622-636. Association for Computational Linguistics, (2024)High-performance one-stage detector for SiC crystal defects based on convolutional neural network.H. Shi, Z. Jin, W. Tang, J. Wang, K. Jiang, M. Xu, W. Xia, и X. Xu. Knowl. Based Syst., (ноября 2023)ActPlan-1K: Benchmarking the Procedural Planning Ability of Visual Language Models in Household Activities.Y. Su, Z. Ling, H. Shi, C. Jiayang, Y. Yim, и Y. Song. EMNLP, стр. 14953-14965. Association for Computational Linguistics, (2024)Enhancing Agent Learning through World Dynamics Modeling.Z. Sun, H. Shi, M. Côté, G. Berseth, X. Yuan, и B. Liu. EMNLP (Findings), стр. 3534-3568. Association for Computational Linguistics, (2024)RADAR: Robust Two-stage Modality-incomplete Industrial Anomaly Detection.B. Miao, W. Zhang, J. Li, S. Tang, Z. Li, H. Shi, J. Xiao, и Y. Zhuang. CoRR, (2024)

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