Cover Image

EcoAlign: An Economically Rational Framework for Efficient LVLM Alignment

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cheng, Ruoxi, Ma, Haoxuan, Ma, Teng, Zhang, Hongyi
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adversarial Orthogonal Disentanglement for LVLM Hallucination Mitigation
by: Cheng, Ruoxi, et al.
Published: (2026)

Membership Inference for Contrastive Pre-training Models with Text-only PII Queries
by: Cheng, Ruoxi, et al.
Published: (2026)

Fake Alignment: Are LLMs Really Aligned Well?
by: Wang, Yixu, et al.
Published: (2023)

Inverse Reinforcement Learning with Dynamic Reward Scaling for LLM Alignment
by: Cheng, Ruoxi, et al.
Published: (2025)

Cross-Modal Attention Calibration for LVLM Hallucination Mitigation
by: Li, Jiaming, et al.
Published: (2025)

LVLM-Aided Alignment of Task-Specific Vision Models
by: Koebler, Alexander, et al.
Published: (2025)

Reinforcement Learning from Multi-role Debates as Feedback for Bias Mitigation in LLMs
by: Cheng, Ruoxi, et al.
Published: (2024)

Security Tensors as a Cross-Modal Bridge: Extending Text-Aligned Safety to Vision in LVLM
by: Li, Shen, et al.
Published: (2025)

RA-Rec: An Efficient ID Representation Alignment Framework for LLM-based Recommendation
by: Yu, Xiaohan, et al.
Published: (2024)

Intervene-All-Paths: Unified Mitigation of LVLM Hallucinations across Alignment Formats
by: Qian, Jiaye, et al.
Published: (2025)

Beyond Sight: Towards Cognitive Alignment in LVLM via Enriched Visual Knowledge
by: Zhao, Yaqi, et al.
Published: (2024)

LAMMI-Pathology: A Tool-Centric Bottom-Up LVLM-Agent Framework for Molecularly Informed Medical Intelligence in Pathology
by: Su, Haoyang, et al.
Published: (2026)

MCSFF: Multi-modal Consistency and Specificity Fusion Framework for Entity Alignment
by: Ai, Wei, et al.
Published: (2024)

EcoAgent: An Efficient Device-Cloud Collaborative Multi-Agent Framework for Mobile Automation
by: Yi, Biao, et al.
Published: (2025)

SpecAlign: A Semantic Alignment Framework for SystemVerilog Assertion Generation
by: Imperial, Jaime Rafael, et al.
Published: (2026)

MMR-Bench: A Comprehensive Benchmark for Multimodal LLM Routing
by: Ma, Haoxuan, et al.
Published: (2026)

An Explainable Emotion Alignment Framework for LLM-Empowered Agent in Metaverse Service Ecosystem
by: Ma, Qun, et al.
Published: (2025)

A Framework for Benchmarking and Aligning Task-Planning Safety in LLM-Based Embodied Agents
by: Huang, Yuting, et al.
Published: (2025)

InfiAlign: A Scalable and Sample-Efficient Framework for Aligning LLMs to Enhance Reasoning Capabilities
by: Cai, Shuo, et al.
Published: (2025)

Free$^2$Guide: Training-Free Text-to-Video Alignment using Image LVLM
by: Kim, Jaemin, et al.
Published: (2024)

Resource Rational Contractualism Should Guide AI Alignment
by: Levine, Sydney, et al.
Published: (2025)

Next-Generation Travel Demand Modeling with a Generative Framework for Household Activity Coordination
by: Liao, Xishun, et al.
Published: (2025)

EcoAct: Economic Agent Determines When to Register What Action
by: Zhang, Shaokun, et al.
Published: (2024)

From AR to Diffusion: Efficiently Adapting Large Language Models with Strictly Causal and Elastic Horizons
by: Ma, Xiangyu, et al.
Published: (2026)

Uncertainty-Aware Trip Purpose Inference from GPS Trajectories via POI Semantic Zones and Pareto Calibration
by: Yang, Bo, et al.
Published: (2026)

MobiVerse: Scaling Urban Mobility Simulation with Hybrid Lightweight Domain-Specific Generator and Large Language Models
by: Liu, Yifan, et al.
Published: (2025)

ClinAlign: Scaling Healthcare Alignment from Clinician Preference
by: Lyu, Shiwei, et al.
Published: (2026)

TinyLVLM-eHub: Towards Comprehensive and Efficient Evaluation for Large Vision-Language Models
by: Shao, Wenqi, et al.
Published: (2023)

JailPO: A Novel Black-box Jailbreak Framework via Preference Optimization against Aligned LLMs
by: Li, Hongyi, et al.
Published: (2024)

Beyond 9-to-5: A Generative Model for Augmenting Mobility Data of Underrepresented Shift Workers
by: Ma, Haoxuan, et al.
Published: (2025)

Confidence-Aware Alignment Makes Reasoning LLMs More Reliable
by: Chen, Kejia, et al.
Published: (2026)

EcoSpa: Efficient Transformer Training with Coupled Sparsity
by: Xiao, Jinqi, et al.
Published: (2025)

Learning to Align, Aligning to Learn: A Unified Approach for Self-Optimized Alignment
by: Wang, Haowen, et al.
Published: (2025)

Economic Rationality under Specialization: Evidence of Decision Bias in AI Agents
by: Wen, ShuiDe
Published: (2025)

Kestrel: Grounding Self-Refinement for LVLM Hallucination Mitigation
by: Mao, Jiawei, et al.
Published: (2026)

Beyond Rational Illusion: Behaviorally Realistic Strategic Classification
by: Lv, Xinpeng, et al.
Published: (2026)

Implementing Rational Choice Functions with LLMs and Measuring their Alignment with User Preferences
by: Karnysheva, Anna, et al.
Published: (2025)

AdaFocus: Adaptive Relevance-Diversity Sampling with Zero-Cache Look-back for Efficient Long Video Understanding
by: Yang, Xiao, et al.
Published: (2026)

Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning
by: Dabas, Mahavir, et al.
Published: (2025)

Sparks of Rationality: Do Reasoning LLMs Align with Human Judgment and Choice?
by: Tak, Ala N., et al.
Published: (2026)