Every paper checked — nothing hidden

All papers

Every paper checked in the week of 12–18 Oct 2026 · Multimodal models — nothing is hidden. Brief papers first.

PaperTopicRelevanceFeedback
Learning Subject Tags from Incomplete Labels: A Recall-Oriented VLM Pipeline for Historical Photographs
The paper presents a fine-tuning pipeline for vision-language models to tag historical photographs using incomplete supervision labels.
Ranked #481Peer-reviewed0/10 suggested
Multimodal models
via acm · 18 Oct, 06:18
On-topic
Fine-tunes vision-language models for subject tagging and image understanding on historical photographs.
Shared Sentiment Evidence from Frozen Multimodal Models for Continuous Sentiment Prediction
The paper proposes an output-space probability interface for frozen multimodal models to improve continuous sentiment prediction using gradient-boosted trees.
Ranked #482Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:07
On-topic
Studies multimodal sentiment prediction by extracting evidence across vision, text, and acoustic modalities.
GeoCloak: An Agentic Framework for Semantics-Preserving Geolocation Privacy via Peripheral Clue Manipulation
The paper introduces an agentic framework that removes peripheral visual clues to protect geolocation privacy in images without adding visible artifacts.
Ranked #483Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Manipulates multimodal image-text representations to evade visual geolocation.
LiFi: LiDAR Generation from Multi-View Images via Geometric and Semantic Collaborative Guidance
This paper presents a dual-branch latent diffusion method to generate LiDAR point clouds from multi-view camera images.
Ranked #484Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Deals with multimodal cross-generation between camera images and LiDAR point clouds.
From Pixels to Structure: Lightweight Vision-Language Models for Document OCR and Structured JSON Extraction
Evaluates eight lightweight open-source vision-language models on optical character recognition and schema-compliant JSON extraction across heritage document collections.
Ranked #485Peer-reviewed0/10 suggested
Multimodal models
via arxiv · 12 Oct, 16:28
On-topic
Directly evaluates vision-language models for document image understanding and structured extraction.
PAGE: Parts-Aware Guidance for Co-Speech Gesture Portrait Video Generation
Presents parts-specific reweighting and classifier guidance to improve facial details and audio alignment in speech-driven gesture videos.
Ranked #486Peer-reviewed0/10 suggested
Multimodal models
via arxiv · 12 Oct, 16:28
On-topic
Addresses cross-modal alignment between audio speech signals and visual video generation.
QK-Edit: Revisiting Attention-based Injection in MM-DiT for Image and Video Editing
Introduces QK-Edit, a training-free query-key attention manipulation method for text-guided image and video editing in multimodal diffusion transformers.
Ranked #487Peer-reviewed0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:17
On-topic
Manipulates attention dynamics in multimodal diffusion transformers for text-guided image and video editing.
KARAMEL: Knowledge-Aware Ranking for Multimodal Entity Linking in the Arts via Heterogeneous Graphs
The paper introduces a multimodal entity linking method that combines vision-language models with heterogeneous graph networks for cultural heritage data.
Ranked #488Peer-reviewed0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Fuses vision-language encoders with knowledge graphs for multimodal entity linking.
Rethinking Supervision in Document Unwarping: A Self-consistent Flow-free Approach
The paper introduces a flow-free deep network for smartphone document image unwarping using geometric consistency and undistorted document supervision.
Ranked #489Peer-reviewed0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Improves document understanding pipelines through rectification of smartphone document images.
Bidirectional Adaptive Transformers for Multimodal Anomaly Detection
Proposes a bidirectional adaptive transformer framework to align RGB and 3D point cloud features for multimodal anomaly detection.
Ranked #490Peer-reviewed0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Addresses multimodal alignment and fusion between 2D RGB images and 3D point clouds.
GeoState: Learning View-Decoupled Geometry States for 3D World Modeling
The authors introduce GeoState, a view-decoupled 3D world modeling approach separating scene dynamics from camera motion.
Ranked #491Preprint0/10 suggested
Multimodal models
via arxiv · 17 Oct, 06:17
On-topic
Develops a 3D geometry representation model operating on multi-view visual inputs.
TimeCap: A Scalable Open-Source Pipeline for Captioning Wearable Health Time-Series Data
The paper introduces TimeCap, an open deterministic pipeline for generating signal-grounded captions from wearable health time-series data.
Ranked #492Preprint0/10 suggested
Multimodal models
via arxiv · 17 Oct, 06:17
On-topic
Focuses on cross-modal pairing of sensor time-series data with natural language.
Bias Mitigation in Audio-Enabled LLMs through Adversarial Training and Distillation Methods
Applies adversarial training and distillation to remove unwanted gender bias in audio-enabled language models.
Ranked #493Preprint0/10 suggested
Multimodal models
via arxiv · 17 Oct, 06:17
On-topic
Directly focuses on audio-enabled multimodal large language models.
Enhancing Multimodal RLVR with Pairwise Token Contrast and Adaptive Trajectory Confidence
Improves reinforcement learning credit assignment in multimodal reasoning using pairwise token contrast and adaptive trajectory confidence.
Ranked #494Preprint0/10 suggested
Multimodal models
via arxiv · 17 Oct, 06:17
On-topic
Improves multimodal reasoning by isolating image dependence during reinforcement learning.
Task-Centric Multimodal Learning for Cognitive Impairment Detection
Evaluates a multimodal screening method using voice, video, and text from voice-assistant interactions to detect cognitive impairment.
Ranked #495Preprint0/10 suggested
Multimodal models
via arxiv · 17 Oct, 06:17
On-topic
Evaluates multimodal fusion across video, audio, and text for cognitive assessment.
ACEdit: Stable Multi-Turn Image Editing via Asymmetric Conditioning
The authors propose ACEdit, a training and distillation scheme that stabilizes image editing models against accumulating errors across multiple editing turns.
Ranked #496Preprint0/10 suggested
Multimodal models
via arxiv · 17 Oct, 06:17
On-topic
Investigates multi-turn vision-language image editing and instruction-following models.
Twice Upon a Time: Complementary Representations for Time-Series Reasoning
The authors propose combining line plots and normalized delay embeddings to provide complementary visual representations for time-series reasoning in language models.
Ranked #497Preprint0/10 suggested
Multimodal models
via arxiv · 17 Oct, 06:17
On-topic
Applies vision-language foundation models to visual time-series reasoning via dual visual representations.
GeoReader: Learning Latent Geometry for Spatial Reasoning in Vision-Language Models
This paper introduces a framework that trains lightweight readers to convert latent 3D geometric representations into tokens readable by vision-language models.
Ranked #498Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:17
On-topic
Improves 3D spatial reasoning in vision-language models by integrating latent geometric representations.
Just Respect the Semantics: Image-Token Compression via Pre-LLM Semantic Variable-Resolution Tokenization and In-LLM Relevance Pruning
The authors present an image-token compression technique using variable-resolution merging for semantic regions and learned relevance pruning inside the model.
Ranked #499Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:17
On-topic
Introduces token pruning and variable-resolution tokenization methods for multimodal vision-language models.
LinMorph: Learning to Morph Weights for Efficient Video DiT Linearization
Proposes LinMorph, a learnable weight transformation method to initialize linear attention models from pretrained video diffusion transformers efficiently.
Ranked #500Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:17
On-topic
Investigates architectural linearization and efficiency for multimodal video diffusion transformers.
DriveWLA: Unifying Future Dynamics and Scene Semantics through World-Language-Action Modeling for Autonomous Driving
Introduces DriveWLA, a mixture-of-transformers architecture unifying scene semantics, future dynamic prediction, and vehicle trajectory planning.
Ranked #501Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:17
On-topic
Combines vision-language models with world modeling and action prediction for visual navigation.
Scaling Vision Transformers Without Training: Prune-and-Merge Token Compression
The paper introduces a training-free token pruning and merging framework with new robustness metrics for vision transformers.
Ranked #502Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:17
On-topic
Develops token reduction techniques for Vision Transformers to improve processing efficiency.
Bottlenecked semantic compression by representation reconstruction
The authors propose a visual token compression framework that reduces computational costs by retaining only visual tokens with high reconstruction residuals.
Ranked #503Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:17
On-topic
Compresses visual token sequences to improve efficiency in multimodal understanding models.
MedEvo: Medical Reasoning Evolution through Knowledge Navigation
Proposes MedEvo, an iterative training framework that repairs multimodal medical reasoning trajectories using minimal hints and taxonomy-guided feedback.
Ranked #504Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:17
On-topic
Improves medical multimodal reasoning across visual and textual clinical data.
WorldRoPE: Probabilistic World-Centric Rotary Embedding for Multi-View Attention
Proposes a world-centric rotary positional embedding using 3D Gaussian primitives to improve cross-view attention in multi-view vision tasks.
Ranked #505Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:17
On-topic
Develops a novel multi-view attention mechanism for 3D visual representations.
Unravel: Recovering an Interactive 3D Scene from a Single Image
This paper introduces Unravel, a training-free framework that converts a single image into an editable, multi-object 3D scene.
Ranked #506Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:17
On-topic
Decomposes single images into 3D scenes using vision-language models.
Gen Through the Lens: Camera-Controllable Video Generation via Cross-Coordinate Conditioning Fusion
The paper proposes an image-to-video framework combining three coordinate spaces to enable camera-controllable video generation.
Ranked #507Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:17
On-topic
Proposes a camera-controllable multimodal video generation framework from reference images.
Adaptive Look, Flexible Thought: Learning How and How Long to Think in Multimodal Reasoning
The paper proposes a reasoning framework that discretizes visual states into tokens to jointly optimize visual computation and chain-of-thought steps.
Ranked #508Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:17
On-topic
Proposes a unified reasoning framework coordinating visual perception tokens with multimodal language models.
Rethinking Human Intent-to-CAD: Parametric CAD Model Generation via Cooperative Multi-Task Alignment and Spatial-Aware Reinforcement Learning
The paper presents a dataset and framework mapping sketches and text to executable parametric computer-aided design code.
Ranked #509Peer-reviewed0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:17
On-topic
Bridges multimodal inputs including sketches and text to generate CAD code.
A Decade of PhotoMappers: A Longitudinal Study of Crowdsourced Disaster Photos Geolocalization with Vision-Language Models and Geospatial Reasoning
This study analyzes a decade of crowdsourced disaster photos to evaluate vision-language models against human geographic reasoning for location estimation.
Ranked #510Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:17
On-topic
Evaluates vision-language models on geolocalization across cross-view and satellite imagery.
Getting Space Right: Agentic Rewards for Image Generation
This paper proposes a curriculum-guided reinforcement learning framework and an agentic reward model for spatial text-to-image generation.
Ranked #511Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:17
On-topic
Improves spatial reasoning and visual understanding for text-to-image synthesis.
A Hybrid Kinematic GCN and Elastic Transformer for Efficient Indian Sign Language Recognition
The paper introduces a hybrid kinematic graph neural network and elastic transformer framework for efficient Indian sign language recognition from video.
Ranked #512Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:17
On-topic
Models multimodal video and skeletal kinematics for vision-based sign language recognition.
Prospective Forcing: Learning to Look Ahead for Autoregressive Long Video Diffusion
The paper introduces a multi-head prediction method that injects future long-range supervision to improve autoregressive video generation consistency.
Ranked #513Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:17
On-topic
Improves long-horizon autoregressive video generation through multi-head predictive diffusion.
CUSE: Fine-Grained Multimodal Unlearning with Counterfactual Guidance and On-Policy Self-Distillation
This paper introduces a multimodal unlearning method using counterfactual inputs and on-policy self-distillation to remove sensitive data without damaging general knowledge.
Ranked #514Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:17
On-topic
Presents fine-grained unlearning across text and visual content in multimodal LLMs.
Attribute-Centric Vision-Language Alignment for Fine-Grained Gait Understanding
Presents a dataset and vision-language alignment framework for fine-grained human gait attribute recognition from walking sequences.
Ranked #515Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 06:18
On-topic
Proposes vision-language alignment matching multi-frame video evidence with textual class prototypes.
Reliability-Aware Multimodal Sentiment Prediction Under Local Modality Missingness
This paper introduces RM-Net, a reliability-aware network designed to maintain multimodal sentiment prediction accuracy when spans of modalities are missing.
Ranked #516Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Multimodal sentiment prediction robustly fusing text, audio, and video inputs.
AdaFrame: Hierarchical Multimodal Deduplication with Adaptive Information Budgeting for Cost-Efficient Video Advertisement Analysis
The paper proposes a content-adaptive frame deduplication pipeline to lower inference costs for multimodal video advertisement analysis.
Ranked #517Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:07
On-topic
Proposes adaptive multimodal deduplication to optimize vision-language model inference on video.
DreamHMR: From Video Generation to Human Motion Modeling via Structural Focusing
The paper presents a framework adapting video generation priors to improve 3D human body and hand motion reconstruction from video.
Ranked #518Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Uses video generation foundation models for 3D body and hand motion modeling.
Designing Textual Interfaces To Enhance Llm Reasoning On Audio-Visual Question Answering
The paper compares three textual interface designs for optimizing prompts in multimodal audio-visual question answering systems.
Ranked #519Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Designs textual interfaces for audio-visual multimodal LLM reasoning.
PhySGA: A Physics-Space Grounded Agentic Framework for Generalizable and Interactive 3D Composition
Proposes an interactive agent framework that utilizes physics simulation and spatial exploration for complex 3D object assembly and composition.
Ranked #520Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Deals with 3D physical grounding and multimodal vision-language models.
ActiveEvidence: Decision-Focused Evidence Graphs with Verifiable Acquisition Gaps
Presents a graph-based framework with decision certificates to determine when multimodal agents should acquire visual evidence under cost constraints.
Ranked #521Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Focuses on active visual evidence acquisition in multimodal contexts.
Multimodal Medical Image Parsing with Task-Specific Low-Rank Adapters
The paper describes a vision-language model using task-specific low-rank adapters for multimodal medical image parsing.
Ranked #522Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Applies multimodal vision-language architectures to parse and analyze diverse medical image modalities.
MemeTrace: A Multimodal LLM-Based Agent for Safety-Aware Meme Provenance Analysis
The paper presents a multimodal agent designed to trace the origin, spread, and potential safety risks of online memes.
Ranked #523Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Combines visual perturbations, image symbolism, and text for multimodal meme understanding.
Towards a Data-Centric Understanding of Spatial Reasoning in Multimodal Large Language Models
Surveys dataset design, construction methods, and evaluation protocols for improving spatial reasoning in multimodal language models.
Ranked #524Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Provides a comprehensive survey on datasets and training methods for spatial reasoning in multimodal models.
FACES: Fine-grained Gated Semantic Alignment for Multimodal Emotional Support Conversation
The paper introduces a gated semantic alignment framework with multi-source rewards to improve multimodal emotional support conversations.
Ranked #525Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Addresses multimodal emotional support conversation combining dialogue and multimodal inputs.
Instruction Mining From Images: Constructing a Synthetic Dataset for Multimodal Learning ILSP DCVLR Competition Submission
Generates a filtered synthetic dataset of image-based instruction-response pairs for training multimodal reasoning models.
Ranked #526Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Presents a pipeline for synthesizing image-based instruction-response pairs to train and evaluate multimodal models.
Can Learning to Answer Spatial Questions Improve Novel-View Generation?
This paper introduces Ask4NV, combining multimodal 3D language understanding with camera geometry to guide novel-view image generation.
Ranked #527Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Combines 3D spatial language understanding with view generation using a multimodal transformer.
Representation Conditioning for Generation
This paper proposes representation conditioning to feed vision encoder features into later layers of diffusion transformers for improved generation semantics.
Ranked #528Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Explores aligning vision encoder semantic representations within diffusion model training.
Learning Visual Speech Representations via Cross-Modal Distillation and Joint Face-Lip Modeling
The paper introduces FLARE, a visual speech framework combining cross-modal distillation from audio features with dual-stream face and lip modeling.
Ranked #529Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Develops a cross-modal distillation framework connecting acoustic representations with visual facial dynamics.
HyrCap: Hybrid Rank-Calibration of Action Proposals for Temporal Event Understanding
The paper introduces a rank-calibration framework to improve proposal localization quality for temporal action detection in long untrimmed videos.
Ranked #530Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Improves video event understanding and proposal calibration for downstream LLM-driven event analysis.
Kandinsky S2V 1.0: Audio-Driven Avatar Video Generation
The paper presents open speech-to-video models that generate long-form avatar video with expressive motion driven by an audio waveform.
Ranked #531Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Introduces multimodal models that generate synchronized video avatars from speech and text.
SPECTRA-VLA: Base-Fine Hyperspectral Token Transfer at Frozen Vision-Language-Action Interfaces
Transfers hyperspectral tokens into frozen vision-language-action models via learned continuous residuals without retraining.
Ranked #532Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Enriches vision-language-action interfaces with hyperspectral input tokens for multimodal tasks.
Why Do VLMs Fail at Remote Physiological Measurement? Rethinking with Physiological Grounding and Numerical Alignment
VITAL introduces visual-physiological token alignment to enable vision-language models to perform remote physiological measurement alongside general visual reasoning.
Ranked #533Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Integrates physiological signals with vision-language models for multimodal video understanding.
Focus, Align, and Diffuse: Time-Series-Aware Keyframe Diffusion for Cardiac Dynamic Synthesis from Sparse Observations
CardioFAD resolves temporal ambiguity in sparse cardiac dynamic synthesis by using ECG-aligned motion-salient keyframe diffusion.
Ranked #534Preprint0/10 suggested
Multimodal models
via arxiv · 15 Oct, 15:06
On-topic
Aligns ECG time-series signals with sparse visual frames for multimodal synthesis.
BridgeAfford: Bridging Query-Target Gap for Generalizable 3D Affordance Grounding
Introduces a framework that aligns interaction regions across objects to improve 3D affordance grounding on unseen objects.
Ranked #535Preprint0/10 suggested
Multimodal models
via arxiv · 17 Oct, 06:17
On-topic
Grounds natural language interaction queries onto 3D visual object regions.
Full-Duplex Interaction with Speech, Expressions and Gestures
Presents a full-duplex conversational model that generates real-time speech alongside synchronized facial expressions and body gestures.
Ranked #536Preprint0/10 suggested
Multimodal models
via arxiv · 17 Oct, 06:17
On-topic
Presents an end-to-end multimodal model coordinating speech, expressions, and non-verbal gesture generation.
X-Fly: Learning to Reach and Stop in Full-Chunk Aerial Vision-Language Navigation
Proposes a training framework enabling aerial vision-language agents to navigate in full action chunks and stop reliably at destinations.
Ranked #537Preprint0/10 suggested
Multimodal models
via arxiv · 17 Oct, 06:17
On-topic
Integrates vision-language inputs to control multi-step aerial navigation trajectories.
Where, How, and When: Query-Guided Grounding for Video Understanding
Presents methods for query-guided video grounding across object localization, relationship detection, and temporal moment identification.
Ranked #538Preprint0/10 suggested
Multimodal models
via arxiv · 17 Oct, 06:17
On-topic
Investigates query-guided video understanding and multimodal grounding across text and video.
TRACER: A Multimodal Harness for Patient Care in Hospitals
Introduces a multimodal harness and benchmark pairing continuous video with clinical records to assist patient monitoring in hospitals.
Ranked #539Preprint0/10 suggested
Multimodal models
via arxiv · 17 Oct, 06:17
On-topic
Integrates continuous patient video feeds with clinical text for multimodal reasoning.
ReasonUni: Reasoning-Augmented Reconstruction Advances Unified Multimodal Models
The paper introduces a reasoning-augmented reconstructive post-training framework that unifies multimodal understanding and image generation tasks.
Ranked #540Preprint0/10 suggested
Multimodal models
via arxiv · 17 Oct, 06:17
On-topic
Couples text-to-image generation and image-to-text reasoning in unified multimodal models using reinforcement learning.
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