Applied & Human-Centered · Computer Science & AI
Multimedia
The newest papers in Multimedia that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
192 papers, from 6 September 2026 to 5 November 2026: 192 arXiv preprints.
Get the few papers worth your time in Multimedia every morning.
Follow Multimedia and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 4
GeoReader: Learning Latent Geometry for Spatial Reasoning in Vision-Language Models
Vision-language models (VLMs) struggle with metric and multi-view relationships that remain implicit in RGB observations.OmniCompass: A Holistic Benchmark for Omni-Modal Video Grounding and Understanding
With the rapid development of multimodal large language models (MLLMs), evaluating their video understanding capabilities has become increasingly important.Elephant in the Fridge: Constant-Memory Frame Packing for Long Video Understanding
Hour-long videos, streaming feeds, and movie-length content are pushing vision-language models (VLMs) past their breaking point -- the standard recipe of encoding each frame into visual tokens…EventLens: Event-Structure Reinforcement Learning for Video Understanding
Recent multimodal large language models (MLLMs) achieve strong results on video question answering, yet often fail to recover the temporal structure that makes a video coherent.Tackling the Modality Inhibitance Effect with Wavelet-based Modality Integration in Multi-modal Recommendation
Harnessing rich modality features has recently gained prominence in multi-modal recommendation systems (MRSs).GHOST: Geometry-Constrained Hybrid Diffusion for Open-Vocabulary 3D Scene Graph Generation
3D scene graph generation requires understanding both object semantics and metric spatial relations.World-T3: Test-Time Training as Persistent Memory for Real-Time Video World Models
Recent advances in video world models have enabled plausible interactive environments, yet long-horizon generation places a fundamental demand on visual memory: the previously observed world must…JSIR: An Audio-Aligned, Multi-Task Dataset of Jazz Standard Recordings
Beat tracking, chord estimation, and structure analysis are staple tasks of music information retrieval.Reels-RSI: Program-Level Self-Improvement for Code-Rendered Explainer Videos
Explainer videos -- a worked geometry problem, why the sky is blue, how a dynasty fell -- are usually one more target for pixel video generation.MotionCoach: Constructing Multimodal Guidance for Video Professional Motion Editing
Video editing models achieve strong performance in modifying appearance, backgrounds, styles, and motions, empowered by large-scale training data.CV-OPD: Contrastive Vision On-policy Distillation
On-policy distillation (OPD) reveals versatility and convenience during VLM post-training, providing dense supervision for student from teacher.EmoGavel: Grounding-Aware Reinforcement Learning with Verifiable Rewards for Multimodal Emotion Preference Learning
Multimodal emotion preference learning uses pairwise comparisons to identify which open-ended emotion descriptions align more closely with human judgments.ActiveMedAgent: Cost-Aware Trajectory Learning for Multimodal Medical Diagnosis
Clinical diagnosis is inherently sequential: clinicians escalate from cheap to costly tests only when additional evidence is expected to resolve diagnostic uncertainty.LadderEdit: Edit-Level Residual Compression for Memory-Efficient Lifelong Editing of LLMs
Lifelong editing of LLMs requires storing thousands of edits after acquisition.MiniVer-V: Identifying Minimal Sufficient Evidence for Short Video Verification
A core challenge in short-video fact-checking is identifying which evidence is sufficient to support a verification conclusion.SignRAG: Unified Retrieval-Augmented Gloss-Free Sign Language Translation
Contemporary decoder-only large language models (LLMs) have demonstrated strong capabilities across a wide range of domains.AuraLuxMuse: Adaptive Fusion Modeling for Aesthetic Stage Lighting Design with Music and Expert Guidance
We present AuraLuxMuse, a novel system for automated aesthetic stage lighting design that integrates expert knowledge, representation learning, and preference-adaptive modeling.Open-Vocabulary Audio-Visual Event Localization via Complex-Valued Fusion
Open-Vocabulary Audio-Visual Event Localization (OV-AVEL) labels each video segment with an event class, including classes that were never seen during training.From Surface to Depth: Towards Cognitive Appraisal Reasoning in Multimodal Emotion Understanding
Recent multimodal large language models (MLLMs) increasingly incorporate explainable reasoning for emotion understanding.VINCIE-NExT: Unlocking Video Editing from Images via In-Context Modeling
Building a capable video editor remains significantly harder than a video generator: editing requires (source, instruction, edited) triplets that are prohibitively expensive to annotate and…