Imagen de Portada

EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Fang, Yiyang, Huang, Wenke, Fu, Pei, Yang, Yihao, Su, Kehua, Luo, Zhenbo, Luan, Jian, Ye, Mang
Formato:	Preprint
Publicado:	2026
Materias:	Artificial Intelligence Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models
por: Liang, Jian, et al.
Publicado: (2025)

Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning
por: Huang, Wenke, et al.
Publicado: (2024)

EmoLLM: Multimodal Emotional Understanding Meets Large Language Models
por: Yang, Qu, et al.
Publicado: (2024)

Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity
por: Chen, Yuhang, et al.
Publicado: (2024)

PatchCue: Enhancing Vision-Language Model Reasoning with Patch-Based Visual Cues
por: Qi, Yukun, et al.
Publicado: (2026)

EMO-Reasoning: Benchmarking Emotional Reasoning Capabilities in Spoken Dialogue Systems
por: Liu, Jingwen, et al.
Publicado: (2025)

Federated Graph Semantic and Structural Learning
por: Huang, Wenke, et al.
Publicado: (2024)

FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference
por: Tan, Zihan, et al.
Publicado: (2024)

REVISOR: Beyond Textual Reflection, Towards Multimodal Introspective Reasoning in Long-Form Video Understanding
por: Li, Jiaze, et al.
Publicado: (2025)

EMO-RL: Emotion-Rule-Based Reinforcement Learning Enhanced Audio-Language Model for Generalized Speech Emotion Recognition
por: Li, Pengcheng, et al.
Publicado: (2025)

Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model
por: Huang, Wenke, et al.
Publicado: (2025)

EMO-KNOW: A Large Scale Dataset on Emotion and Emotion-cause
por: Nguyen, Mia Huong, et al.
Publicado: (2024)

Shuffle-R1: Efficient RL framework for Multimodal Large Language Models via Data-centric Dynamic Shuffle
por: Zhu, Linghao, et al.
Publicado: (2025)

A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations
por: Ye, Mang, et al.
Publicado: (2025)

AV-EMO-Reasoning: Benchmarking Emotional Reasoning Capabilities in Omni-modal LLMS with Audio-visual Cues
por: Zhou, Dingkun, et al.
Publicado: (2025)

Enhancing Trustworthy GUI Grounding via Self-Critiqued Reinforcement Learning
por: Zhang, Shaojie, et al.
Publicado: (2025)

EMO-TTA: Improving Test-Time Adaptation of Audio-Language Models for Speech Emotion Recognition
por: Shi, Jiacheng, et al.
Publicado: (2025)

SafeGRPO: Self-Rewarded Multimodal Safety Alignment via Rule-Governed Policy Optimization
por: Rong, Xuankun, et al.
Publicado: (2025)

EMO-SUPERB: An In-depth Look at Speech Emotion Recognition
por: Wu, Haibin, et al.
Publicado: (2024)

nEMO: Dataset of Emotional Speech in Polish
por: Christop, Iwona
Publicado: (2024)

Thinking in cocktail party: Chain-of-Thought and reinforcement learning for target speaker automatic speech recognition
por: Zhang, Yiru, et al.
Publicado: (2025)

S2FGL: Spatial Spectral Federated Graph Learning
por: Tan, Zihan, et al.
Publicado: (2025)

ChronoForge-RL: Chronological Forging through Reinforcement Learning for Enhanced Video Understanding
por: Chen, Kehua
Publicado: (2025)

EMO-LLaMA: Enhancing Facial Emotion Understanding with Instruction Tuning
por: Xing, Bohao, et al.
Publicado: (2024)

ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation
por: Liang, Jian, et al.
Publicado: (2025)

Video-OPD: Efficient Post-Training of Multimodal Large Language Models for Temporal Video Grounding via On-Policy Distillation
por: Li, Jiaze, et al.
Publicado: (2026)

BTL-UI: Blink-Think-Link Reasoning Model for GUI Agent
por: Zhang, Shaojie, et al.
Publicado: (2025)

Think Silently, Think Fast: Dynamic Latent Compression of LLM Reasoning Chains
por: Tan, Wenhui, et al.
Publicado: (2025)

R^3: Replay, Reflection, and Ranking Rewards for LLM Reinforcement Learning
por: Jiang, Zhizheng, et al.
Publicado: (2026)

Revisiting Entropy in Reinforcement Learning for Large Reasoning Models
por: Jin, Renren, et al.
Publicado: (2025)

R-C2: Cycle-Consistent Reinforcement Learning Improves Multimodal Reasoning
por: Zhang, Zirui, et al.
Publicado: (2026)

MECap-R1: Emotion-aware Policy with Reinforcement Learning for Multimodal Emotion Captioning
por: Sun, Haoqin, et al.
Publicado: (2025)

An Empirical Study of Federated Prompt Learning for Vision Language Model
por: Wang, Zhihao, et al.
Publicado: (2025)

GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical Reasoning
por: Su, Yanzhou, et al.
Publicado: (2025)

VOW: Verifiable and Oblivious Watermark Detection for Large Language Models
por: Luan, Xiaokun, et al.
Publicado: (2026)

SeLaR: Selective Latent Reasoning in Large Language Models
por: Fu, Renyu, et al.
Publicado: (2026)

Affordance-R1: Reinforcement Learning for Generalizable Affordance Reasoning in Multimodal Large Language Model
por: Wang, Hanqing, et al.
Publicado: (2025)

Restoring Exploration after Post-Training: Latent Exploration Decoding for Large Reasoning Models
por: Tan, Wenhui, et al.
Publicado: (2026)

EMO-Debias: Benchmarking Gender Debiasing Techniques in Multi-Label Speech Emotion Recognition
por: Lin, Yi-Cheng, et al.
Publicado: (2025)

SELF-EMO: Emotional Self-Evolution from Recognition to Consistent Expression
por: Zhang, Shaowei, et al.
Publicado: (2026)