EmAvatar: Multimodal Empathetic Response Generation via Conflict Resolution and Expressive Guidance

arXiv:2609.38182 · cs.HC, cs.CV, cs.MM · Submitted 2026-08-04 · Read on arXiv

cs.HC, cs.CV, cs.MM

Submitted: 2026-08-04

Updated: 2026-08-04

Project page: https://avamerg.github.io/MM25-challenge

Terminology

Accuracy — 9× in this paper · explained in 1 episode
Alignment — 9× in this paper · explained in 1 episode
Benchmark — 8× in this paper · explained in 2 episodes
Arbiter — 6× in this paper · explained in 1 episode
Iterative Refinement — 5× in this paper · explained in 3 episodes
Consistency — 4× in this paper · explained in 3 episodes
Generalization — 4× in this paper · explained in 13 episodes
Ablation — 3× in this paper · explained in 1 episode
Large Language Model — 3× in this paper
Ablation study — 2× in this paper · explained in 1 episode
Reinforcement Learning — 2× in this paper · explained in 4 episodes
Affective Computing — 1× in this paper · explained in 1 episode
Aggregation — 1× in this paper · explained in 1 episode
Frustration — 1× in this paper · explained in 2 episodes
Mel Cepstral Distortion — 1× in this paper
Multimodal Inputs — 1× in this paper · explained in 2 episodes
Objective Function — 1× in this paper · explained in 2 episodes
Regret — 1× in this paper · explained in 3 episodes
Semantic Understanding — 1× in this paper · explained in 2 episodes

Sources

E3RG: Building Explicit Emotion-driven Empathetic Response Generation System with Multimodal Large Language Model

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