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From the 1 of 6 linked papers with an AI index.

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6 papers

cs.AI2026

InCarEmo: A Multimodal Dataset for In-Cabin Emotion Recognition and Driver State Monitoring

Hao Yang, Yanyan Zhao, Kewei Zhao +11

The paper presents InCarEmo, a multimodal dataset that combines RGB and infrared video, audio, and dialogue text for in-cabin emotion recognition, fatigue detection, and distractio…

cs.CL2026

ENPMR-Bench: Benchmarking Proactive Memory Retrieval for Emotional Support Agents

Xing Fu, Yulin Hu, Mengtong Ji +5

Memory-augmented language agents are increasingly deployed in affective applications such as emotional support, where understanding and responding to users' latent emotional needs…

cs.CV2026

Text-Driven Emotionally Continuous Talking Face Generation

Hao Yang, Yanyan Zhao, Tian Zheng +7

Talking Face Generation (TFG) strives to create realistic and emotionally expressive digital faces. While previous TFG works have mastered the creation of naturalistic facial movem…

cs.CL2026

OP-Bench: Benchmarking Over-Personalization for Memory-Augmented Personalized Conversational Agents

Yulin Hu, Zimo Long, Jiahe Guo +5

Memory-augmented conversational agents enable personalized interactions using long-term user memory and have gained substantial traction. However, existing benchmarks primarily foc…

cs.CL2025

CARE-Bench: A Benchmark of Diverse Client Simulations Guided by Expert Principles for Evaluating LLMs in Psychological Counseling

Bichen Wang, Yixin Sun, Junzhe Wang +6

The mismatch between the growing demand for psychological counseling and the limited availability of services has motivated research into the application of Large Language Models (…

cs.CL2025

Psychological Counseling Cannot Be Achieved Overnight: Automated Psychological Counseling Through Multi-Session Conversations

Junzhe Wang, Bichen Wang, Xing Fu +3

In recent years, Large Language Models (LLMs) have made significant progress in automated psychological counseling. However, current research focuses on single-session counseling,…