Beyond Binary Preferences: Graded Preference Optimization for Limb-Motion Captioning

arXiv:2609.36628 · cs.CV · Submitted 2026-09-29 · Read on arXiv

cs.CV

Submitted: 2026-09-29

Updated: 2026-09-29

Terminology

• Benchmark — 32× in this paper · explained in 2 episodes
• Alignment — 23× in this paper · explained in 1 episode
• Fidelity — 19× in this paper · explained in 2 episodes
• Accuracy — 18× in this paper · explained in 1 episode
• Hallucination — 15× in this paper · explained in 3 episodes
• Ablation — 9× in this paper · explained in 1 episode
• Grounding — 6× in this paper · explained in 3 episodes
• Actor — 5× in this paper · explained in 3 episodes
• Alignment Methods — 5× in this paper · explained in 1 episode
• Consistency — 5× in this paper · explained in 3 episodes
• Direct Preference Optimization — 4× in this paper
• Generalization — 4× in this paper · explained in 13 episodes
• Temporal Reasoning — 4× in this paper · explained in 2 episodes
• Calibration — 3× in this paper · explained in 7 episodes
• Conference on Computer Vision and Pattern Recognition — 3× in this paper
• Verification — 3× in this paper · explained in 2 episodes
• AdamW Optimizer — 2× in this paper · explained in 1 episode
• Benchmarking — 2× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• F1 Score — 2× in this paper · explained in 3 episodes
• LLM judge — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Vision-Language Models (VLMs) — 2× in this paper · explained in 6 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Affordance — 1× in this paper · explained in 1 episode
• Annotator Agreement — 1× in this paper · explained in 1 episode
• Bradley-Terry model — 1× in this paper · explained in 2 episodes
• Direct Preference Optimization (DPO) — 1× in this paper · explained in 9 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• GRPO — 1× in this paper · explained in 6 episodes
• Human-in-the-Loop — 1× in this paper · explained in 3 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Multimodal Reasoning — 1× in this paper · explained in 5 episodes
• Temporal consistency — 1× in this paper · explained in 2 episodes
• Zero-Shot Transfer — 1× in this paper · explained in 4 episodes

Sources

• VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs
• Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding
• Kimi K2.5: Visual Agentic Intelligence
• VidChain: Chain-of-Tasks with Metric-based Direct Preference Optimization for Dense Video Captioning
• KPM-Bench: A Kinematic Parsing Motion Benchmark for Fine-grained Motion-centric Video Understanding
• On the Design of Qwen3.8-Next Architecture: Evaluation, Efficiency, and Training Stability
• Qwen3 Technical Report
• FAVOR-Bench: A Comprehensive Benchmark for Fine-Grained Video Motion Understanding
• Tarsier2: Advancing Large Vision-Language Models from Detailed Video Description to Comprehensive Video Understanding

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