Who cites «VideoPro: Adaptive Program Reasoning for Long Video Understanding»
- A Survey of Inductive Reasoning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Kedi Chen, Dezhao Ruan, Yuhao Dan, et al.2026 · 10 citations
- Autoregressive Semantic Visual Reconstruction Helps VLMs Understand BetterFindings of the Association for Computational LinguisticsDianyi Wang, Wei Song, Yikun Wang, et al.2026 · 7 citations
- Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Wenrui Zhou, Mohamed Hendy, Shu Yang, et al.2026 · 6 citations
- INFACT: A Diagnostic Benchmark for Induced Faithfulness and Factuality Hallucinations in Video-LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yangjunqi, Yuecong Min, Jie Zhang, et al.2026 · 5 citations
- Interleaved Latent Visual Reasoning with Selective Perceptual ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Shuai Dong, Siyuan Wang, Xingyu Liu, et al.2026 · 5 citations
- MedMCP-Calc: Benchmarking LLMs for Realistic Medical Calculator Scenarios via MCP IntegrationAnnual Meeting of the Association for Computational Linguistics (ACL)Yakun Zhu, Yutong Huang, Shengqian Qin, et al.2026 · 2 citations
This page in Markdown → https://md.research.elamur.ai/free/en/papers/li-2026-videopro-adaptive-program-reasoning-long/cited-by/