Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Shukor, Mustafa, Rame, Alexandre, Dancette, Corentin, Cord, Matthieu |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Skipping Computations in Multimodal LLMs
by: Shukor, Mustafa, et al.
Published: (2024)
by: Shukor, Mustafa, et al.
Published: (2024)
Implicit Multimodal Alignment: On the Generalization of Frozen LLMs to Multimodal Inputs
by: Shukor, Mustafa, et al.
Published: (2024)
by: Shukor, Mustafa, et al.
Published: (2024)
What Makes Multimodal In-Context Learning Work?
by: Baldassini, Folco Bertini, et al.
Published: (2024)
by: Baldassini, Folco Bertini, et al.
Published: (2024)
Learning Video Context as Interleaved Multimodal Sequences
by: Lin, Kevin Qinghong, et al.
Published: (2024)
by: Lin, Kevin Qinghong, et al.
Published: (2024)
A Concept-Based Explainability Framework for Large Multimodal Models
by: Parekh, Jayneel, et al.
Published: (2024)
by: Parekh, Jayneel, et al.
Published: (2024)
Connecting Giants: Synergistic Knowledge Transfer of Large Multimodal Models for Few-Shot Learning
by: Tang, Hao, et al.
Published: (2025)
by: Tang, Hao, et al.
Published: (2025)
Beyond Patches: Global-aware Autoregressive Model for Multimodal Few-Shot Font Generation
by: Cai, Haonan, et al.
Published: (2026)
by: Cai, Haonan, et al.
Published: (2026)
Context-Enhanced Video Moment Retrieval with Large Language Models
by: Liu, Weijia, et al.
Published: (2024)
by: Liu, Weijia, et al.
Published: (2024)
Grounded Chain-of-Thought for Multimodal Large Language Models
by: Wu, Qiong, et al.
Published: (2025)
by: Wu, Qiong, et al.
Published: (2025)
Improved Baselines for Data-efficient Perceptual Augmentation of LLMs
by: Vallaeys, Théophane, et al.
Published: (2024)
by: Vallaeys, Théophane, et al.
Published: (2024)
Can Multimodal Large Language Models Understand Spatial Relations?
by: Liu, Jingping, et al.
Published: (2025)
by: Liu, Jingping, et al.
Published: (2025)
Modeling Beyond MOS: Quality Assessment Models Must Integrate Context, Reasoning, and Multimodality
by: Kerkouri, Mohamed Amine, et al.
Published: (2025)
by: Kerkouri, Mohamed Amine, et al.
Published: (2025)
Towards Training-free Multimodal Hate Localisation with Large Language Models
by: Sun, Yueming, et al.
Published: (2026)
by: Sun, Yueming, et al.
Published: (2026)
MangaUB: A Manga Understanding Benchmark for Large Multimodal Models
by: Ikuta, Hikaru, et al.
Published: (2024)
by: Ikuta, Hikaru, et al.
Published: (2024)
GuardAlign: Test-time Safety Alignment in Multimodal Large Language Models
by: Zhu, Xingyu, et al.
Published: (2026)
by: Zhu, Xingyu, et al.
Published: (2026)
OralGPT-Omni: A Versatile Dental Multimodal Large Language Model
by: Hao, Jing, et al.
Published: (2025)
by: Hao, Jing, et al.
Published: (2025)
Incorporating Visual Experts to Resolve the Information Loss in Multimodal Large Language Models
by: He, Xin, et al.
Published: (2024)
by: He, Xin, et al.
Published: (2024)
Seeing Beyond Words: Self-Supervised Visual Learning for Multimodal Large Language Models
by: Caffagni, Davide, et al.
Published: (2025)
by: Caffagni, Davide, et al.
Published: (2025)
FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs
by: Chen, Qian, et al.
Published: (2026)
by: Chen, Qian, et al.
Published: (2026)
Reasoning Like Experts: Leveraging Multimodal Large Language Models for Drawing-based Psychoanalysis
by: Ma, Xueqi, et al.
Published: (2025)
by: Ma, Xueqi, et al.
Published: (2025)
FoodMLLM-JP: Leveraging Multimodal Large Language Models for Japanese Recipe Generation
by: Imajuku, Yuki, et al.
Published: (2024)
by: Imajuku, Yuki, et al.
Published: (2024)
FakeBench: Probing Explainable Fake Image Detection via Large Multimodal Models
by: Li, Yixuan, et al.
Published: (2024)
by: Li, Yixuan, et al.
Published: (2024)
Multimodal Large Language Model is a Human-Aligned Annotator for Text-to-Image Generation
by: Wu, Xun, et al.
Published: (2024)
by: Wu, Xun, et al.
Published: (2024)
One Framework to Rule Them All: Unifying Multimodal Tasks with LLM Neural-Tuning
by: Sun, Hao, et al.
Published: (2024)
by: Sun, Hao, et al.
Published: (2024)
Zero-shot Video Moment Retrieval via Off-the-shelf Multimodal Large Language Models
by: Xu, Yifang, et al.
Published: (2025)
by: Xu, Yifang, et al.
Published: (2025)
Analyzing Finetuning Representation Shift for Multimodal LLMs Steering
by: Khayatan, Pegah, et al.
Published: (2025)
by: Khayatan, Pegah, et al.
Published: (2025)
Detached and Interactive Multimodal Learning
by: Fan, Yunfeng, et al.
Published: (2024)
by: Fan, Yunfeng, et al.
Published: (2024)
Interpretable Concept-based Deep Learning Framework for Multimodal Human Behavior Modeling
by: Li, Xinyu, et al.
Published: (2025)
by: Li, Xinyu, et al.
Published: (2025)
When Video Coding Meets Multimodal Large Language Models: A Unified Paradigm for Video Coding
by: Zhang, Pingping, et al.
Published: (2024)
by: Zhang, Pingping, et al.
Published: (2024)
Multimodal Fake News Video Explanation: Dataset, Analysis and Evaluation
by: Chen, Lizhi, et al.
Published: (2025)
by: Chen, Lizhi, et al.
Published: (2025)
MIPS at SemEval-2024 Task 3: Multimodal Emotion-Cause Pair Extraction in Conversations with Multimodal Language Models
by: Cheng, Zebang, et al.
Published: (2024)
by: Cheng, Zebang, et al.
Published: (2024)
Context-aware TFL: A Universal Context-aware Contrastive Learning Framework for Temporal Forgery Localization
by: Yin, Qilin, et al.
Published: (2025)
by: Yin, Qilin, et al.
Published: (2025)
ArchGPT: Understanding the World's Architectures with Large Multimodal Models
by: Wang, Yuze, et al.
Published: (2025)
by: Wang, Yuze, et al.
Published: (2025)
LMM4Edit: Benchmarking and Evaluating Multimodal Image Editing with LMMs
by: Xu, Zitong, et al.
Published: (2025)
by: Xu, Zitong, et al.
Published: (2025)
PUMA: Layer-Pruned Language Model for Efficient Unified Multimodal Retrieval with Modality-Adaptive Learning
by: Lyu, Yibo, et al.
Published: (2025)
by: Lyu, Yibo, et al.
Published: (2025)
GalleryGPT: Analyzing Paintings with Large Multimodal Models
by: Bin, Yi, et al.
Published: (2024)
by: Bin, Yi, et al.
Published: (2024)
Deep Learning Classification of Photoplethysmogram Signal for Hypertension Levels
by: Nasir, Nida, et al.
Published: (2024)
by: Nasir, Nida, et al.
Published: (2024)
PathVLM-R1: A Reinforcement Learning-Driven Reasoning Model for Pathology Visual-Language Tasks
by: Wu, Jianyu, et al.
Published: (2025)
by: Wu, Jianyu, et al.
Published: (2025)
Hybrid Local-Global Context Learning for Neural Video Compression
by: Zhai, Yongqi, et al.
Published: (2024)
by: Zhai, Yongqi, et al.
Published: (2024)
Hallu-PI: Evaluating Hallucination in Multi-modal Large Language Models within Perturbed Inputs
by: Ding, Peng, et al.
Published: (2024)
by: Ding, Peng, et al.
Published: (2024)
Similar Items
-
Skipping Computations in Multimodal LLMs
by: Shukor, Mustafa, et al.
Published: (2024) -
Implicit Multimodal Alignment: On the Generalization of Frozen LLMs to Multimodal Inputs
by: Shukor, Mustafa, et al.
Published: (2024) -
What Makes Multimodal In-Context Learning Work?
by: Baldassini, Folco Bertini, et al.
Published: (2024) -
Learning Video Context as Interleaved Multimodal Sequences
by: Lin, Kevin Qinghong, et al.
Published: (2024) -
A Concept-Based Explainability Framework for Large Multimodal Models
by: Parekh, Jayneel, et al.
Published: (2024)