STRAND: Benchmarking and Improving Object-Centric Spatio-Temporal Monitoring in Video Large Language Models

arXiv:2609.29607 · cs.CV, cs.CL · Submitted 2026-08-28 · Read on arXiv

cs.CV, cs.CL

Submitted: 2026-08-28

Updated: 2026-08-28

Terminology

• Accuracy — 40× in this paper · explained in 1 episode
• Benchmark — 39× in this paper · explained in 2 episodes
• Ablation — 34× in this paper · explained in 1 episode
• Aggregation — 16× in this paper · explained in 1 episode
• Hallucination — 16× in this paper · explained in 3 episodes
• Large Language Model — 12× in this paper
• Consistency — 10× in this paper · explained in 3 episodes
• Grounding — 6× in this paper · explained in 3 episodes
• Temporal Reasoning — 6× in this paper · explained in 2 episodes
• Verification — 6× in this paper · explained in 2 episodes
• Benchmarking — 4× in this paper · explained in 3 episodes
• Ablation Studies — 3× in this paper · explained in 1 episode
• Ablation study — 3× in this paper · explained in 1 episode
• Failure Modes — 3× in this paper · explained in 3 episodes
• Abstraction — 2× in this paper · explained in 1 episode
• Actor — 2× in this paper · explained in 3 episodes
• Alignment — 2× in this paper · explained in 1 episode
• CVF International Conference on Computer Vision — 2× in this paper
• Instruction Tuning — 2× in this paper · explained in 2 episodes
• Visual Grounding — 2× in this paper · explained in 2 episodes
• Annotator Agreement — 1× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 1× in this paper
• Data Provenance — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Modularity — 1× in this paper · explained in 9 episodes
• Multi-hop Reasoning — 1× in this paper · explained in 3 episodes
• Multimodal Reasoning — 1× in this paper · explained in 5 episodes
• National University of Singapore — 1× in this paper
• Provenance — 1× in this paper · explained in 4 episodes
• Structural Reasoning — 1× in this paper · explained in 2 episodes
• Structured Reasoning — 1× in this paper · explained in 3 episodes
• Temporal consistency — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• World Model — 1× in this paper · explained in 7 episodes

Sources

• GPT-4 Technical Report
• Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning
• Qwen3-VL Technical Report
• Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation
• TimeBlind: A Spatio-Temporal Compositionality Benchmark for Video LLMs
• Dive into Claude Code: The Design Space of Today's and Future AI Agent Systems
• ELV-Halluc: Benchmarking Semantic Aggregation Hallucinations in Long Video Understanding
• TraveLER: A Modular Multi-LMM Agent Framework for Video Question-Answering
• Gemini: A Family of Highly Capable Multimodal Models
• Gemma 4 Technical Report
• Qwen3.5-Omni Technical Report
• InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
• VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models
• LLaVA-Video: Video Instruction Tuning With Synthetic Data
• InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

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