Papers by Boyang Zhao
SPHERE: Unveiling Spatial Blind Spots in Vision-Language Models Through Hierarchical Evaluation (2025.acl-long)
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Wenyu Zhang, Wei En Ng, Lixin Ma, Yuwen Wang, Junqi Zhao, Allison Koenecke, Boyang Li, Wanglu Wanglu
| Challenge: | Current vision-language models lack multi-dimensional spatial reasoning capabilities for human-like understanding and applications. |
| Approach: | They propose a hierarchical evaluation framework that probes models across increasing levels of complexity and integrates spatial, visual, and logical understanding. |
| Outcome: | The proposed framework probes models across increasing levels of complexity, from basic skills to multi-skill integration and high-level reasoning that combines spatial, visual, and logical understanding. |
What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases (2024.naacl-long)
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| Challenge: | Vision-language models have broad competence that is difficult to evaluate . current evaluation benchmarks focus on only assessing one or a few capabilities . |
| Approach: | They perform a large-scale transfer learning experiment to discover latent VL skills from data. |
| Outcome: | The results suggest that factor analysis can identify reasonable yet surprising VL skill factors . the results contribute to the design of balanced and broad-coverage vision-language evaluation methods. |
RedOne: Revealing Domain-specific LLM Post-Training in Social Networking Services (2025.emnlp-industry)
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Fei Zhao, Chonggang Lu, null Wangyue, Zheyong Xie, Ziyan Liu, Haofu Qian, Jianzhao Huang, Fangcheng Shi, Zijie Meng, Hongcheng Guo, Mingqian He, Xinze Lyu, Zheyu Ye, Weiting Liu, Boyang Wang, Shaosheng Cao
| Challenge: | Social networking services (SNS) have experienced rapid growth, which has proposed significant challenges for platform content management and interaction quality improvement. |
| Approach: | They propose a domain-specific LLM to break the performance bottleneck of single-task baselines and establish a comprehensive foundation for social networking services. |
| Outcome: | The proposed model achieves an average improvement of 14.02% across 8 major tasks and 7.56% in bilingual evaluation benchmark, compared with baseline models. |
Semantic search with domain-specific word-embedding and production monitoring in Fintech (2020.coling-demos)
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| Challenge: | a novel system with domain-specific custom language models for accurate search terms expansion addresses several challenges faced in an industry-setting . many industry-grade search engines exist, but their accuracy can be sub-optimal due to domain specificity and terms provided by the users. |
| Approach: | They propose an end-to-end information retrieval system with domain-specific custom language models for accurate search terms expansion. |
| Outcome: | The proposed system is used in risk management and has wide applicability to other domains. |