Saved in:
| Main Authors: | Li, Haoran, Liu, Junqi, Wang, Zexian, Luo, Shiyuan, Jia, Xiaowei, Yao, Huaxiu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.01165 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems
by: Luo, Shiyuan, et al.
Published: (2023)
by: Luo, Shiyuan, et al.
Published: (2023)
Multimodal Clinical Trial Outcome Prediction with Large Language Models
by: Zheng, Wenhao, et al.
Published: (2024)
by: Zheng, Wenhao, et al.
Published: (2024)
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models
by: Xia, Peng, et al.
Published: (2024)
by: Xia, Peng, et al.
Published: (2024)
MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models
by: Xia, Peng, et al.
Published: (2024)
by: Xia, Peng, et al.
Published: (2024)
Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification
by: Kang, Haoqiang, et al.
Published: (2023)
by: Kang, Haoqiang, et al.
Published: (2023)
MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation
by: Wan, Zhongwei, et al.
Published: (2024)
by: Wan, Zhongwei, et al.
Published: (2024)
Verifiable Format Control for Large Language Model Generations
by: Wang, Zhaoyang, et al.
Published: (2025)
by: Wang, Zhaoyang, et al.
Published: (2025)
MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization
by: Zhu, Kangyu, et al.
Published: (2024)
by: Zhu, Kangyu, et al.
Published: (2024)
MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models
by: Xia, Peng, et al.
Published: (2024)
by: Xia, Peng, et al.
Published: (2024)
Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
by: Zhou, Yiyang, et al.
Published: (2024)
by: Zhou, Yiyang, et al.
Published: (2024)
LITE: LLM-Impelled efficient Taxonomy Evaluation
by: Zhang, Lin, et al.
Published: (2025)
by: Zhang, Lin, et al.
Published: (2025)
Efficient Long CoT Reasoning in Small Language Models
by: Wang, Zhaoyang, et al.
Published: (2025)
by: Wang, Zhaoyang, et al.
Published: (2025)
$C^3$: Confidence Calibration Model Cascade for Inference-Efficient Cross-Lingual Natural Language Understanding
by: Lu, Taixi, et al.
Published: (2024)
by: Lu, Taixi, et al.
Published: (2024)
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences
by: Wang, Xiyao, et al.
Published: (2024)
by: Wang, Xiyao, et al.
Published: (2024)
FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees
by: Nie, Fan, et al.
Published: (2024)
by: Nie, Fan, et al.
Published: (2024)
Model Composition for Multimodal Large Language Models
by: Chen, Chi, et al.
Published: (2024)
by: Chen, Chi, et al.
Published: (2024)
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
by: Zhou, Yiyang, et al.
Published: (2023)
by: Zhou, Yiyang, et al.
Published: (2023)
CRE-LLM: A Domain-Specific Chinese Relation Extraction Framework with Fine-tuned Large Language Model
by: Shi, Zhengpeng, et al.
Published: (2024)
by: Shi, Zhengpeng, et al.
Published: (2024)
Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models
by: Pan, Zhenyu, et al.
Published: (2024)
by: Pan, Zhenyu, et al.
Published: (2024)
CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing
by: Zheng, Wenhao, et al.
Published: (2025)
by: Zheng, Wenhao, et al.
Published: (2025)
A Comprehensive Survey of Large Language Models and Multimodal Large Language Models in Medicine
by: Xiao, Hanguang, et al.
Published: (2024)
by: Xiao, Hanguang, et al.
Published: (2024)
BACH-V: Bridging Abstract and Concrete Human-Values in Large Language Models
by: Zhang, Junyu, et al.
Published: (2026)
by: Zhang, Junyu, et al.
Published: (2026)
RAP: Retrieval-Augmented Personalization for Multimodal Large Language Models
by: Hao, Haoran, et al.
Published: (2024)
by: Hao, Haoran, et al.
Published: (2024)
To Preserve or To Compress: An In-Depth Study of Connector Selection in Multimodal Large Language Models
by: Lin, Junyan, et al.
Published: (2024)
by: Lin, Junyan, et al.
Published: (2024)
Exploring the Role of Explicit Temporal Modeling in Multimodal Large Language Models for Video Understanding
by: Li, Yun, et al.
Published: (2025)
by: Li, Yun, et al.
Published: (2025)
Jailbreaking Large Language Models with Morality Attacks
by: Su, Ying, et al.
Published: (2026)
by: Su, Ying, et al.
Published: (2026)
CREAM: Consistency Regularized Self-Rewarding Language Models
by: Wang, Zhaoyang, et al.
Published: (2024)
by: Wang, Zhaoyang, et al.
Published: (2024)
MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct
by: Luo, Run, et al.
Published: (2024)
by: Luo, Run, et al.
Published: (2024)
A Survey on Agentic Multimodal Large Language Models
by: Yao, Huanjin, et al.
Published: (2025)
by: Yao, Huanjin, et al.
Published: (2025)
Ovis: Structural Embedding Alignment for Multimodal Large Language Model
by: Lu, Shiyin, et al.
Published: (2024)
by: Lu, Shiyin, et al.
Published: (2024)
Evaluating Large Language Models on Multimodal Chemistry Olympiad Exams
by: Cui, Yiming, et al.
Published: (2025)
by: Cui, Yiming, et al.
Published: (2025)
STORM: Internalized Modeling for Spatial-Temporal Reasoning in Video-Language Models
by: Liang, Yiming, et al.
Published: (2026)
by: Liang, Yiming, et al.
Published: (2026)
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement
by: Wang, Xiyao, et al.
Published: (2024)
by: Wang, Xiyao, et al.
Published: (2024)
SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models
by: Cheng, Xianfu, et al.
Published: (2025)
by: Cheng, Xianfu, et al.
Published: (2025)
Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment
by: Cui, Chenhang, et al.
Published: (2024)
by: Cui, Chenhang, et al.
Published: (2024)
CODIS: Benchmarking Context-Dependent Visual Comprehension for Multimodal Large Language Models
by: Luo, Fuwen, et al.
Published: (2024)
by: Luo, Fuwen, et al.
Published: (2024)
Towards Trustable Language Models: Investigating Information Quality of Large Language Models
by: Rejeleene, Rick, et al.
Published: (2024)
by: Rejeleene, Rick, et al.
Published: (2024)
Do LLMs Know What Is Private Internally? Probing and Steering Contextual Privacy Norms in Large Language Model Representations
by: Wang, Haoran, et al.
Published: (2026)
by: Wang, Haoran, et al.
Published: (2026)
Calibrated Self-Rewarding Vision Language Models
by: Zhou, Yiyang, et al.
Published: (2024)
by: Zhou, Yiyang, et al.
Published: (2024)
Trust-Oriented Adaptive Guardrails for Large Language Models
by: Hu, Jinwei, et al.
Published: (2024)
by: Hu, Jinwei, et al.
Published: (2024)
Similar Items
-
FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems
by: Luo, Shiyuan, et al.
Published: (2023) -
Multimodal Clinical Trial Outcome Prediction with Large Language Models
by: Zheng, Wenhao, et al.
Published: (2024) -
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models
by: Xia, Peng, et al.
Published: (2024) -
MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models
by: Xia, Peng, et al.
Published: (2024) -
Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification
by: Kang, Haoqiang, et al.
Published: (2023)