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Jiahao Huo

Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey
2024 · Dang, Yunkai, Huang, Kaichen, et al. · arXiv (Cornell University) · 14
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MathAgent: Leveraging a Mixture-of-Math-Agent Framework for Real-World Multimodal Mathematical Error Detection
2025 · Yibo Yan, Shen Wang, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 11
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Incremental class learning using variational autoencoders with similarity learning
2023 · Jiahao Huo, Terence L. van Zyl · Neural Computing and Applications · 8
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Unique Faces Recognition in Videos
2020 · Jiahao Huo, Terence L van Zyl · International Conference on Information Fusion (FUSION) · 8
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EssayJudge: A Multi-Granular Benchmark for Assessing Automated Essay Scoring Capabilities of Multimodal Large Language Models
2025 · Jiamin Su, Yibo Yan, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 7
Comparative Analysis of Catastrophic Forgetting in Metric Learning
2020 · Jiahao Huo, Terence L van Zyl · International Conference on Soft Computing & Machine Intelligence (ISCMI) · 7
MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models
2025 · Jiahao Huo, Yibo Yan, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 6
Memory in the Age of AI Agents
2025 · Hu, Yuyang, Liu, Shichun, et al. · arXiv (Cornell University) · 2
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Flower Classification Based on Improve VGG Networks with Attention
2022 · Jiahao Huo, Sijie Qiao, et al. · 2022 3rd International Conference on Computer Vision, Image and Deep Learning & International Conference on Computer Engineering and Applications (CVIDL & ICCEA) · 2
ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection
2026 · Yibo Yan, Shen Wang, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 1
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Nearest-Class Mean and Logits Agreement for Wildlife Open-Set Recognition
2025 · Jiahao Huo, Mufhumudzi Muthivhi, et al. · Communications in computer and information science · 1
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EAVer: Long-Form Factuality Verification as an End-to-End Agentic Policy
2026 · Zheng, Kening, Zheng, Aoying, et al. · arXiv (Cornell University)
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Visual-Prompt Guided Wildlife Instance-Level Recognition
2026 · Muthivhi, Mufhumudzi, Huo, Jiahao, et al. · arXiv (Cornell University)
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MM-Matryoshka: Towards Budget-Elastic Visual Document Retrieval via a 2D Multimodal Matryoshka Training Framework
2026 · Xiang, Haowen, Yan, Yibo, et al. · arXiv (Cornell University)
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Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework
2026 · Association for Computational Linguistics 2026, Cao, Yi, et al. · Underline Science Inc.
ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection
2026 · Association for Computational Linguistics 2026, Chu, Zhendong, et al. · Underline Science Inc.
Multi-Object Tracking Consistently Improves Wildlife Inference
2026 · Mufhumudzi Muthivhi, Jiahao Huo, et al. · International Conference on Information Fusion (FUSION)
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SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness
2026 · Huo, Jiahao, Qu, Wenjie, et al. · arXiv (Cornell University)
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Visual Late Chunking: An Empirical Study of Contextual Chunking for Efficient Visual Document Retrieval
2026 · Yan, Yibo, Ou, Mingdong, et al. · arXiv (Cornell University)
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EgoIntent: A Pre-Outcome Micro-Step Benchmark for Understanding What, Why, and Next
2026 · Pan, Ye, Wong, Chi Kit, et al. · arXiv (Cornell University)
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Beyond the Grid: Layout-Informed Multi-Vector Retrieval with Parsed Visual Document Representations
2026 · Yan, Yibo, Ou, Mingdong, et al. · arXiv (Cornell University)
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Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework
2026 · Yan, Yibo, Ou, Mingdong, et al. · arXiv (Cornell University)
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Unlocking Multimodal Document Intelligence: From Current Triumphs to Future Frontiers of Visual Document Retrieval
2026 · Yan, Yibo, Huo, Jiahao, et al. · arXiv (Cornell University)
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CausalEmbed: Auto-Regressive Multi-Vector Generation in Latent Space for Visual Document Embedding
2026 · Huo, Jiahao, Huang, Yu, et al. · arXiv (Cornell University)
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Unveiling Language Routing Isolation in Multilingual MoE Models for Interpretable Subnetwork Adaptation
2026 · Kening Zheng, Wei-Chieh Huang, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Works count: 32
Citation count: 67
H-index: 6
I10-index: 2
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