:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Mahfuz, Rehana, Guo, Yinyi, Visser, Erik, Chinchili, Phanidhar
Format:	Preprint
Published:	2026
Subjects:	Multimedia Computation and Language Machine Learning
Online Access:	https://arxiv.org/abs/2602.15707
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Resource-Efficient Reference-Free Evaluation of Audio Captions
by: Mahfuz, Rehana, et al.
Published: (2024)

Aligning Audio Captions with Human Preferences
by: Hegde, Kartik, et al.
Published: (2025)

RAVEN: Query-Guided Representation Alignment for Question Answering over Audio, Video, Embedded Sensors, and Natural Language
by: Biswas, Subrata, et al.
Published: (2025)

LongVALE: Vision-Audio-Language-Event Benchmark Towards Time-Aware Omni-Modal Perception of Long Videos
by: Geng, Tiantian, et al.
Published: (2024)

Emotion Collider: Dual Hyperbolic Mirror Manifolds for Sentiment Recovery via Anti Emotion Reflection
by: Fu, Rong, et al.
Published: (2026)

Dental-TriageBench: Benchmarking Multimodal Reasoning for Hierarchical Dental Triage
by: He, Ziyi, et al.
Published: (2026)

Training Data Efficiency in Multimodal Process Reward Models
by: Li, Jinyuan, et al.
Published: (2026)

KMMMU: Evaluation of Massive Multi-discipline Multimodal Understanding in Korean Language and Context
by: Lee, Nahyun, et al.
Published: (2026)

ModalImmune: Immunity Driven Unlearning via Self Destructive Training
by: Fu, Rong, et al.
Published: (2026)

K-pop Lyric Translation: Dataset, Analysis, and Neural-Modelling
by: Kim, Haven, et al.
Published: (2023)

ChemDFM-X: Towards Large Multimodal Model for Chemistry
by: Zhao, Zihan, et al.
Published: (2024)

MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification
by: Shah, Siddhant Bikram, et al.
Published: (2024)

Where Do We Go from Here? Multi-scale Allocentric Relational Inference from Natural Spatial Descriptions
by: Paz-Argaman, Tzuf, et al.
Published: (2024)

Multimodal Large Language Models for Medicine: A Comprehensive Survey
by: Ye, Jiarui, et al.
Published: (2025)

StreaMulT: Streaming Multimodal Transformer for Heterogeneous and Arbitrary Long Sequential Data
by: Pellegrain, Victor, et al.
Published: (2021)

Self-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Models
by: Ren, Jie, et al.
Published: (2024)

Mixture of LoRA Experts
by: Wu, Xun, et al.
Published: (2024)

MuChoMusic: Evaluating Music Understanding in Multimodal Audio-Language Models
by: Weck, Benno, et al.
Published: (2024)

VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset
by: Liu, Jing, et al.
Published: (2023)

Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models
by: Xie, Zhifei, et al.
Published: (2025)

Kimi-Audio Technical Report
by: KimiTeam, et al.
Published: (2025)

SemEval-2024 Task 3: Multimodal Emotion Cause Analysis in Conversations
by: Wang, Fanfan, et al.
Published: (2024)

Large Language Models for Computer-Aided Design: A Survey
by: Zhang, Licheng, et al.
Published: (2025)

Iris: Integrating Language into Diffusion-based Monocular Depth Estimation
by: Zeng, Ziyao, et al.
Published: (2024)

OLKAVS: An Open Large-Scale Korean Audio-Visual Speech Dataset
by: Park, Jeongkyun, et al.
Published: (2023)

Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media
by: Hebert, Liam, et al.
Published: (2023)

Multimodal Fusion with Semi-Supervised Learning Minimizes Annotation Quantity for Modeling Videoconference Conversation Experience
by: Chang, Andrew, et al.
Published: (2025)

EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE
by: Chen, Junyi, et al.
Published: (2023)

ZJUKLAB at SemEval-2025 Task 4: Unlearning via Model Merging
by: Xu, Haoming, et al.
Published: (2025)

MuPHI: Learning Implicit Multimodal Harm Reasoning via Semantically Grounded Reward Optimization
by: Saha, Anisha, et al.
Published: (2026)

Decoding the Hook: A Multimodal LLM Framework for Analyzing the Hooking Period of Video Ads
by: Zhang, Kunpeng, et al.
Published: (2026)

Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion
by: Zhang, Yichi, et al.
Published: (2024)

'No' Matters: Out-of-Distribution Detection in Multimodality Long Dialogue
by: Gao, Rena, et al.
Published: (2024)

MUDI: A Multimodal Biomedical Dataset for Understanding Pharmacodynamic Drug-Drug Interactions
by: Ngo, Tung-Lam, et al.
Published: (2025)

MultiScript30k: Leveraging Multilingual Embeddings to Extend Cross Script Parallel Data
by: Driggers-Ellis, Christopher, et al.
Published: (2025)

DLF: Disentangled-Language-Focused Multimodal Sentiment Analysis
by: Wang, Pan, et al.
Published: (2024)

MultiMedEdit: A Scenario-Aware Benchmark for Evaluating Knowledge Editing in Medical VQA
by: Wen, Shengtao, et al.
Published: (2025)

Doctor Sun: A Bilingual Multimodal Large Language Model for Biomedical AI
by: Xue, Dong, et al.
Published: (2025)

Reasoning LLMs are Wandering Solution Explorers
by: Lu, Jiahao, et al.
Published: (2025)

Clustering Internet Memes Through Template Matching and Multi-Dimensional Similarity
by: Bloem, Tygo, et al.
Published: (2025)