E-AVI: Evidence-Grounded Multimodal Assessment for Automated Video Interviews

arXiv:2609.20001 · cs.AI · Submitted 2026-09-17 · Read on arXiv

cs.AI

Submitted: 2026-09-17

Updated: 2026-09-17

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Embeddings — 9× in this paper · explained in 2 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Adam — 4× in this paper · explained in 2 episodes
• Affective Computing — 3× in this paper · explained in 1 episode
• Grounding — 3× in this paper · explained in 3 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Explainability — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Multimodal Learning — 1× in this paper · explained in 2 episodes

Sources

• RecruitView: A Multimodal Dataset for Predicting Personality and Interview Performance for Human Resources Applications
• MiniCPM-o 4.5: Towards Real-Time Full-Duplex Omni-Modal Interaction
• Qwen3-VL Technical Report
• Qwen3.5-Omni Technical Report
• GPT-4o System Card
• VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs
• LoRA: Low-Rank Adaptation of Large Language Models

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