:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhao, Jiale, Mou, Xing, Wu, Jinlin, Yu, Hongyuan, Sun, Mingrui, Shi, Yang, Yin, Xuanwu, Chen, Zhen, Lei, Zhen, Wang, Yaohua
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence Computation and Language
Accesso online:	https://arxiv.org/abs/2601.04199
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

SurgVisAgent: Multimodal Agentic Model for Versatile Surgical Visual Enhancement
di: Lei, Zeyu, et al.
Pubblicazione: (2025)

Graft: Integrating the Domain Knowledge via Efficient Parameter Synergy for MLLMs
di: Dai, Yang, et al.
Pubblicazione: (2025)

AM$^3$Safety: Towards Data Efficient Alignment of Multi-modal Multi-turn Safety for MLLMs
di: Zhu, Han, et al.
Pubblicazione: (2026)

Transforming Surgical Interventions with Embodied Intelligence for Ultrasound Robotics
di: Xu, Huan, et al.
Pubblicazione: (2024)

Enhancing Surgical Robots with Embodied Intelligence for Autonomous Ultrasound Scanning
di: Xu, Huan, et al.
Pubblicazione: (2024)

What Matters For Safety Alignment?
di: Li, Xing, et al.
Pubblicazione: (2026)

MedXIAOHE: A Comprehensive Recipe for Building Medical MLLMs
di: Shi, Baorong, et al.
Pubblicazione: (2026)

Learning from Medical Entity Trees: An Entity-Centric Medical Data Engineering Framework for MLLMs
di: Lin, Jianghang, et al.
Pubblicazione: (2026)

Do Images Speak Louder than Words? Investigating the Effect of Textual Misinformation in VLMs
di: Zhang, Chi, et al.
Pubblicazione: (2026)

ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors
di: Zhang, Zhexin, et al.
Pubblicazione: (2024)

Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE
di: Chen, Zeren, et al.
Pubblicazione: (2023)

LoR2C : Low-Rank Residual Connection Adaptation for Parameter-Efficient Fine-Tuning
di: Zhao, Jiancheng, et al.
Pubblicazione: (2025)

Are Tools Always Beneficial? Learning to Invoke Tools Adaptively for Dual-Mode Multimodal LLM Reasoning
di: Ma, Qinghe, et al.
Pubblicazione: (2026)

Swift Parameter-free Attention Network for Efficient Super-Resolution
di: Wan, Cheng, et al.
Pubblicazione: (2023)

UNO Arena for Evaluating Sequential Decision-Making Capability of Large Language Models
di: Qin, Zhanyue, et al.
Pubblicazione: (2024)

From Pruning to Grafting: Dynamic Knowledge Redistribution via Learnable Layer Fusion
di: Pei, Zehua, et al.
Pubblicazione: (2024)

Adaptive Shielding via Parametric Safety Proofs
di: Feng, Yao, et al.
Pubblicazione: (2025)

Exploring the Design Space of Visual Context Representation in Video MLLMs
di: Du, Yifan, et al.
Pubblicazione: (2024)

Dual LoRA: Enhancing LoRA with Magnitude and Direction Updates
di: Xu, Yixing, et al.
Pubblicazione: (2025)

Language, the Forgotten Content.
di: Kelly, Patricia P., Ed., et al.
Pubblicazione: (1987)

ChartEdit: How Far Are MLLMs From Automating Chart Analysis? Evaluating MLLMs' Capability via Chart Editing
di: Zhao, Xuanle, et al.
Pubblicazione: (2025)

A Prompt-driven Task Planning Method for Multi-drones based on Large Language Model
di: Liu, Yaohua
Pubblicazione: (2024)

Span-level Detection of AI-generated Scientific Text via Contrastive Learning and Structural Calibration
di: Yin, Zhen, et al.
Pubblicazione: (2025)

Elucidating the Design Space of Decay in Linear Attention
di: Qin, Zhen, et al.
Pubblicazione: (2025)

Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions
di: Zhang, Dawen, et al.
Pubblicazione: (2023)

UnlearnShield: Shielding Forgotten Privacy against Unlearning Inversion
di: Xue, Lulu, et al.
Pubblicazione: (2026)

A LongFormer-Based Framework for Accurate and Efficient Medical Text Summarization
di: Sun, Dan, et al.
Pubblicazione: (2025)

From Specific-MLLMs to Omni-MLLMs: A Survey on MLLMs Aligned with Multi-modalities
di: Jiang, Shixin, et al.
Pubblicazione: (2024)

Green Shielding: A User-Centric Approach Towards Trustworthy AI
di: Li, Aaron J., et al.
Pubblicazione: (2026)

Athena: Enhancing Multimodal Reasoning with Data-efficient Process Reward Models
di: Wang, Shuai, et al.
Pubblicazione: (2025)

SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt Types
di: Mou, Yutao, et al.
Pubblicazione: (2024)

InfiMed: Low-Resource Medical MLLMs with Advancing Understanding and Reasoning
di: Liu, Zeyu, et al.
Pubblicazione: (2025)

MiSS: Revisiting the Trade-off in LoRA with an Efficient Shard-Sharing Structure
di: Kang, Jiale, et al.
Pubblicazione: (2024)

Unlearned but Not Forgotten: Data Extraction after Exact Unlearning in LLM
di: Wu, Xiaoyu, et al.
Pubblicazione: (2025)

MSPLoRA: A Multi-Scale Pyramid Low-Rank Adaptation for Efficient Model Fine-Tuning
di: Zhao, Jiancheng, et al.
Pubblicazione: (2025)

Unhackable Temporal Rewarding for Scalable Video MLLMs
di: Yu, En, et al.
Pubblicazione: (2025)

SafeInt: Shielding Large Language Models from Jailbreak Attacks via Safety-Aware Representation Intervention
di: Wu, Jiaqi, et al.
Pubblicazione: (2025)

SafetyBench: Evaluating the Safety of Large Language Models
di: Zhang, Zhexin, et al.
Pubblicazione: (2023)

An Empirical Study on Configuring In-Context Learning Demonstrations for Unleashing MLLMs' Sentimental Perception Capability
di: Wu, Daiqing, et al.
Pubblicazione: (2025)

Affordance Benchmark for MLLMs
di: Wang, Junying, et al.
Pubblicazione: (2025)