Emotional Support AI Comparison Hub
3 papers - avg viability 7.0
Top Papers
- Affective Flow Language Model for Emotional Support Conversation(7.0)
AFlow enhances emotional support conversations with better empathy through fine-grained supervision and outperforming state-of-the-art models.
- Listening to the Echo: User-Reaction Aware Policy Optimization via Scalar-Verbal Hybrid Reinforcement Learning(7.0)
RAPO optimizes emotional support dialogue systems using user reactions for enhanced interaction outcomes.
- TEA-Bench: A Systematic Benchmarking of Tool-enhanced Emotional Support Dialogue Agent(7.0)
Integrate tool-augmented dialogue systems to enhance emotional support agent reliability and grounding.