🔗 Who cites «Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs»

6 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · ← back to «Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs»

1. Stable-RAG: Mitigating Retrieval-Permutation-Induced Hallucinations in Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Qianchi Zhang, Hainan Zhang, Liang Pang, et al.2026 · 27 citations
2. VideoPro: Adaptive Program Reasoning for Long Video UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Chenglin Li, Feng Han, Yikun Wang, et al.2026 · 6 citations
3. AutoMonitor-Bench: Evaluating the Reliability of LLM-Based Misbehavior MonitorFindings of the Association for Computational LinguisticsShu Yang, Jingyu Hu, Tong Li, et al.2026 · 2 citations
4. Feeling Right vs. Being Right: How AI Sycophancy Affects Value-Laden DeliberationAnnual Meeting of the Association for Computational Linguistics (ACL)Jeongwoo Ryu, Soomin Kim, Jinsu Eun, et al.2026

2 more papers of our library cite it; they have no page here yet.

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