Imagen de Portada

Towards Robust Multi-Modal Reasoning via Model Selection

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Liu, Xiangyan, Li, Rongxue, Ji, Wei, Lin, Tao
Formato:	Preprint
Publicado:	2023
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

CARE: Towards Clinical Accountability in Multi-Modal Medical Reasoning with an Evidence-Grounded Agentic Framework
por: Du, Yuexi, et al.
Publicado: (2026)

Emotion and Intention Guided Multi-Modal Learning for Sticker Response Selection
por: Hu, Yuxuan, et al.
Publicado: (2025)

Segment-Aligned Policy Optimization for Multi-Modal Reasoning
por: Gao, Lei, et al.
Publicado: (2026)

Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling
por: Li, Mengran, et al.
Publicado: (2025)

X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains
por: Liu, Qianchu, et al.
Publicado: (2025)

Towards Robust Federated Multimodal Graph Learning under Modality Heterogeneity
por: Zhang, Sirui, et al.
Publicado: (2026)

Multi-Modal Manipulation via Multi-Modal Policy Consensus
por: Chen, Haonan, et al.
Publicado: (2025)

Controllable Exploration in Hybrid-Policy RLVR for Multi-Modal Reasoning
por: Huang, Zhuoxu, et al.
Publicado: (2026)

HyperGCL: Multi-Modal Graph Contrastive Learning via Learnable Hypergraph Views
por: Saifuddin, Khaled Mohammed, et al.
Publicado: (2025)

A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models
por: Lin, Zihao, et al.
Publicado: (2025)

Towards Robust Knowledge Tracing Models via k-Sparse Attention
por: Huang, Shuyan, et al.
Publicado: (2024)

Multi-Modal Molecular Representation Learning via Structure Awareness
por: Yin, Rong, et al.
Publicado: (2025)

Robust Multi-Modal Forecasting: Integrating Static and Dynamic Features
por: Qin, Jeremy
Publicado: (2025)

Efficient Generative Model Training via Embedded Representation Warmup
por: Liu, Deyuan, et al.
Publicado: (2025)

OMG-Agent: Toward Robust Missing Modality Generation with Decoupled Coarse-to-Fine Agentic Workflows
por: Dai, Ruiting, et al.
Publicado: (2026)

Selective Learning: Towards Robust Calibration with Dynamic Regularization
por: Han, Zongbo, et al.
Publicado: (2024)

Early GVHD Prediction in Liver Transplantation via Multi-Modal Deep Learning on Imbalanced EHR Data
por: Jiang, Yushan, et al.
Publicado: (2025)

MMICT: Boosting Multi-Modal Fine-Tuning with In-Context Examples
por: Chen, Tao, et al.
Publicado: (2023)

Mixture of Rationale: Multi-Modal Reasoning Mixture for Visual Question Answering
por: Li, Tao, et al.
Publicado: (2024)

Language Models Can Learn from Verbal Feedback Without Scalar Rewards
por: Luo, Renjie, et al.
Publicado: (2025)

DT-ICU: Towards Explainable Digital Twins for ICU Patient Monitoring via Multi-Modal and Multi-Task Iterative Inference
por: Guo, Wen
Publicado: (2026)

NMCSE: Noise-Robust Multi-Modal Coupling Signal Estimation Method via Optimal Transport for Cardiovascular Disease Detection
por: Zhang, Peihong, et al.
Publicado: (2025)

Analytic Continual Test-Time Adaptation for Multi-Modality Corruption
por: Zhang, Yufei, et al.
Publicado: (2024)

Towards More Accurate US Presidential Election via Multi-step Reasoning with Large Language Models
por: Yu, Chenxiao, et al.
Publicado: (2024)

Towards Understanding Multi-Round Large Language Model Reasoning: Approximability, Learnability and Generalizability
por: Xu, Chenhui, et al.
Publicado: (2025)

FoMEMO: Towards Foundation Models for Expensive Multi-objective Optimization
por: Yao, Yiming, et al.
Publicado: (2025)

Permutation-Invariant Representation Learning for Robust and Privacy-Preserving Feature Selection
por: Liu, Rui, et al.
Publicado: (2025)

COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits
por: Kang, Mintong, et al.
Publicado: (2024)

Representation Learning with Mutual Influence of Modalities for Node Classification in Multi-Modal Heterogeneous Networks
por: Li, Jiafan, et al.
Publicado: (2025)

Towards Reasonable Concept Bottleneck Models
por: Kalampalikis, Nektarios, et al.
Publicado: (2025)

Towards Large Reasoning Models for Agriculture
por: Zaremehrjerdi, Hossein, et al.
Publicado: (2025)

MC-DBN: A Deep Belief Network-Based Model for Modality Completion
por: Luo, Zihong, et al.
Publicado: (2024)

SheetAgent: Towards A Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models
por: Chen, Yibin, et al.
Publicado: (2024)

A Hierarchical Language Model For Interpretable Graph Reasoning
por: Khurana, Sambhav, et al.
Publicado: (2024)

LEAD: Length-Efficient Adaptive and Dynamic Reasoning for Large Language Models
por: Wei, Songtao, et al.
Publicado: (2026)

ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning
por: Liu, Zexi, et al.
Publicado: (2025)

DAMBench: A Multi-Modal Benchmark for Deep Learning-based Atmospheric Data Assimilation
por: Wang, Hao, et al.
Publicado: (2025)

CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems
por: Liu, Rui, et al.
Publicado: (2025)

Can Prompt Difficulty be Online Predicted for Accelerating RL Finetuning of Reasoning Models?
por: Qu, Yun, et al.
Publicado: (2025)

Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models
por: Yang, Xiao-Wen, et al.
Publicado: (2025)