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.
All1,924In brief3More (on-topic)553Not relevant1,333Not assessed19Older33Could not confirm19Blogs with no paper11All blogs13
| Paper | Topic | Relevance | Feedback |
|---|---|---|---|
| Surface Reconstruction from Range Scans Under Visibility Constraints This paper presents a neural surface reconstruction formulation from range scans using sensor visibility constraints and robust ray intersection regression. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on pure 3D range scan reconstruction without multimodal integration. | |
| Dynamic Interpolation for Training-Time Prediction Reshaping in Low-Light Image Enhancement This paper proposes a parameter-free training module that dynamically reshapes prediction errors to improve low-light image enhancement models. Peer-reviewed | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on unimodal computer vision training dynamics for image enhancement. | |
| FlowSim: Rendering-Free Closed-Loop Simulation for Evaluating End-to-End Driving Systems This paper introduces a rendering-free closed-loop simulation method that predicts internal latent states to evaluate autonomous driving systems without image generation. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on autonomous driving latent rollouts rather than multimodal language-vision models. | |
| COMPASS: Contextual Moment Prior Alignment for Generalizable AIGI Detection This paper introduces a data-aware subspace adaptation method using semantic proxy sets to improve generalizable AI-generated image detection. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses solely on image deepfake detection using vision models without multimodal reasoning. | |
| Human-Inspired Asymmetric Collaboration for Dual-Student Semi-Supervised Medical Image Segmentation This paper presents an asymmetric dual-student framework for semi-supervised medical image segmentation using adaptive reinforcement-guided augmentation. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on computer vision segmentation without multimodal text-vision interaction. | |
| Closing the Estimation Gap: Training-Free Transductive Inference for Cross-Domain Few-Shot Action Recognition Proposes TRACE, a training-free transductive inference framework to reduce the prototype estimation gap in few-shot action recognition. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Deals with video action recognition without multimodal text or audio modeling. | |
| Traditional and Recent Approaches for Infrared Small Target Detection : Overview, Challenges and Perspectives (Part 1) Surveys traditional model-based, signal processing, and machine learning methods for infrared small target detection. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on infrared target detection rather than multimodal models. | |
| Unsupervised and Supervised Approaches for Infrared Small Target Detection : Overview, Challenges and Perspectives (Part 2) Surveys deep learning approaches, models, and critical scenarios for infrared small target detection. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses solely on infrared image target detection without multimodal text or audio. | |
| Robust Logical Anomaly Detection under Capture Shifts via Synthetic Anomalies Examines industrial logical anomaly detection under capture shifts and proposes a reference-free classifier trained on synthetic anomalies. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Main focus is industrial anomaly detection rather than multimodal foundation model architectures. | |
| CityCode: Building Agent-Operable 3D Cities from Sparse Aerial Observations Introduces CityCode, an agent-operable representation generating parameterized 3D urban environments from sparse low-altitude aerial images. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on 3D urban scene reconstruction from imagery without multimodal language interaction. | |
| Visual Sevoing from Lines Presents a visual servoing approach using binormalized Plucker line coordinates to decouple rotation and translation control. Peer-reviewed | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Deals with robot motion control from geometric lines, not multimodal models. | |
| SchemaPose: RGB-Based Category-Level Pose Estimation with Parametric Category Schema Introduces SchemaPose, a schema-guided framework for RGB-based category-level 9D object pose estimation. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Deals purely with single-modality RGB 3D pose estimation without multimodal aspects. | |
| Noise2Match: Self-Supervised Low-Dose CT Denoising via Adaptive Inter-Slice Matching Proposes Noise2Match, a self-supervised low-dose CT denoising method that aligns adjacent slices using adaptive non-rigid matching. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Addresses medical CT slice denoising without multimodal vision-language integration. | |
| CoTL: Compact Token Learning for 3D Scene Representation Proposes CoTL, a method to learn compact latent tokens from unposed multi-view images to reconstruct 3D Gaussian scene representations. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Covers 3D Gaussian reconstruction without multimodal text, language, or cross-modal components. | |
| $\mathrm{S}^3$-PnP: Plug-and-Play Denoising for Scientific Imaging with Self-Supervised Score Priors Proposes a self-supervised plug-and-play restoration framework that learns score priors directly from intermediate states for scientific imaging. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Deals with scientific image denoising rather than multimodal vision-language models. | |
| MFVSR: A Multi-Style and Fine-Grained Benchmark for Video Subtitle Removal Introduces MFVSR, a multi-style benchmark evaluating localized errors, temporal stability, and reliability in video subtitle removal. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Covers video restoration and inpainting rather than multimodal models or reasoning. | |
| Dual-Domain Sparse-View 4D CBCT Reconstruction with Spatial-Temporal Consistency Learning Presents STCNet, a dual-domain framework using spatial-temporal consistency learning to reconstruct sparse-view 4D CBCT images with fewer projections. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on 4D CT reconstruction, not multimodal vision-language models. | |
| Beyond the Encoder: Object-Centric Representations Emerging from Segmentation Foundation Models This paper evaluates whether object pointers from the Segment Anything Model can transfer to downstream clinical tumor prediction tasks. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on medical image segmentation pointers, not multimodal vision-language models. | |
| Unbalanced W-Flow: Unbalanced Wasserstein Drifting under Finite-Batch Marginal Fluctuations The paper proposes an unbalanced optimal transport method to reduce minibatch fluctuations in teacher-free one-step generative models. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Discusses mathematical generative dynamics, not multimodal models. | |
| Denoise X: Self-Supervised U-Net for Quantum Mottle Suppression in Chest Radiography This paper proposes a lightweight self-supervised neural network trained without clean reference images to reduce noise in chest radiographs. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Investigates medical X-ray restoration, not multimodal language-vision models. | |
| Observation Quality in DSM-Assisted Aerial Localization: A Benchmark and Base-Anchored Uncertainty Calibration The paper proposes a benchmark and an uncertainty calibration method for aerial map matching in navigation systems. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Studies aerial map matching uncertainty calibration, not multimodal models. | |
| Parameter-Efficient Multimodal Brain Tumor Segmentation With Stage-Wise Shared Adapters This paper introduces parameter-efficient shared adapters to combine multiple MRI modalities for brain tumor segmentation with lower complexity. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on multi-sequence MRI image segmentation, not multimodal vision-language models. | |
| Detecting Unreliable Classifications from Quantized Models The paper proposes measuring prediction output agreement between full-precision and quantized models to identify unreliable classifications without ground-truth labels. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on post-training quantization reliability, not multimodal models. | |
| Recasting DiT for Extreme Image Compression with Hierarchical Visual Priors This paper presents a framework adapting diffusion transformers into deterministic, one-step decoders for extreme image compression. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on image compression with diffusion transformers, not multimodal models. | |
| Grid or Nodes? Probing Object Memory in World Models Under Partial Observability The paper compares spatial feature grids and tracked node coordinates for maintaining object memory under partial robot observability. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Examines world model representations in robotics, not multimodal models. | |
| Texture Interpolation as Texton Matching This paper studies texture interpolation using appearance-aware texton matching instead of standard positional coordinate blending. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses solely on computer graphics texture synthesis, not multimodal models. | |
| Orientation Estimation of Cryo-EM Images for Molecules with Arbitrary Symmetry by Semidefinite Programming This paper applies semidefinite programming relaxation to estimate orientations of symmetric molecular structures from cryo-electron microscopy images. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on mathematical optimization for cryo-EM, not multimodal integration. | |
| CryoTracer: A Synthetic-to-Real System for Filament Instance Tracing in Cryo-EM The paper introduces a synthetic-to-real deep learning framework for directly tracing filament instances in cryo-electron microscopy images. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on microscopy image instance tracing, not multimodal models. | |
| AIRRI: Towards a Human-Readable, Machine-Resistant Reading Interface This paper presents an interface framework applying visual transformations and adversarial attacks to create assignment text resistant to machine extraction. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on adversarial text images, not multimodal model architectures. | |
| Concealed Handgun Detection using WiFi Signals This paper introduces a dataset and deep learning model to detect concealed handguns using WiFi channel state information. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on RF WiFi signals for sensing, not multimodal language models. | |
| Context-aware Bayesian Fusion for Multimodal Object Detection The paper proposes a context-aware Bayesian late fusion method to dynamically adjust object detector outputs for autonomous driving in adverse conditions. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on sensor fusion (camera and lidar), not multimodal language models. | |
| MIST: Multi-Scale Spatial Context for Gene Expression Prediction from Histology This paper proposes a multi-context spatial transformer architecture to improve gene expression prediction from standard histology tissue images. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on histology vision transformers, not multimodal language reasoning models. | |
| The Federated Tumor Segmentation and Classification (FeTS++) Challenge The paper presents the design and dataset for an international challenge benchmarking federated learning methods for tumor segmentation and classification. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on federated medical imaging, not multimodal text-image foundation models. | |
| GAD: Geometry Attention Distillation for Consistent Video Generation This paper introduces an attention distillation method that transfers geometric correspondences from a frozen model to improve consistency in video generation. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on video diffusion geometry distillation, not multimodal language understanding. | |
| Trust Before Autonomy: Rethinking Agentic Remote Sensing for Crisis Response The paper analyzes agentic remote sensing benchmarks and argues that autonomous decision-making should require demonstrated reliability and calibrated uncertainty. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on remote sensing agent reliability rather than multimodal model architectures. | |
| Registration is a Representation Problem: Solving Whole-Body PET/CT Registration This paper presents an anatomical representation approach driving iterative solvers for longitudinal whole-body PET and CT image registration. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on 3D medical volume alignment, not multimodal language modeling. | |
| WorldOracle: Benchmarking Action-Conditioned World Models against Real-World Executions This paper presents a benchmark evaluating action-conditioned world models against paired real-world executions and physical task outcomes. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Benchmarks action-conditioned video world models for robotics, not multimodal language models. | |
| Scaling Online Optimal Transport Minibatches for Flow Matching This paper develops an online entropic optimal transport approximation to scale minibatch coupling for stable flow matching. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Theoretical generative modeling paper with no multimodal language reasoning focus. | |
| WorldRecon: Generative Multi-View Mesh Reconstruction for Large-Scale 3D World This paper proposes a generative framework to reconstruct complete, large-scale 3D scene meshes from unposed multi-view RGB images. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses purely on 3D geometric mesh reconstruction, not multimodal text-image reasoning. | |
| PixelMoE: Scaling Pixel-Space Diffusion with LLM-Style Mixture-of-Experts This paper applies mixture-of-experts architectures to scale capacity in pixel-space diffusion models without needing learned tokenizers. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Studies pixel-space image generation with MoE, not multimodal reasoning models. | |
| Cepheid: Decoupling Scale from Structure for Cross-Family Motion Completion This paper proposes a dimensionless prior to complete dense mesh motion from sparse observations across different geometry families. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Concerns 3D meshes and point tracking, not multimodal language reasoning. | |
| RoboFake: Are Deepfake Detectors Ready for Humanoid Face Robots? This paper evaluates whether existing deepfake detection models can identify physical humanoid face robots performing speech-synchronized lip movements. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Tests deepfake detectors on physical robots rather than multimodal models. | |
| From Acoustic Sensing to Physical Actions: A Comprehensive Survey of Security Risks in Edge-Deployed Audio LLM-Based Agents The paper surveys security vulnerabilities and defenses in edge-deployed audio language model agents across the sensing-to-action pipeline. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focus is on security and physical action risks, not multimodal modeling. | |
| Robust Detection of Directional Adversarial Attacks in Deep Neural Networks for Radiological Imaging The paper presents a framework using random noise and Sigmoid function analysis to detect directional adversarial attacks on medical imaging models. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Evaluates unimodal medical imaging classification, not multimodal models. | |
| Adversarial Robustness of Camera-Radar Sensor Fusion for Autonomous Driving The paper evaluates the adversarial robustness of five camera-radar fusion algorithms against sensor perturbations in autonomous driving settings. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on adversarial sensor fusion for autonomous vehicles, not multimodal foundation models. | |
| Not All Challenges Are Equal: Evaluating Interactive Liveness Detection Against Real-Time Face Swaps The paper evaluates the effectiveness of randomized interactive gesture challenges in detecting real-time face-swap attacks during remote identity verification. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Studies interactive face liveness detection instead of general multimodal models. | |
| Beyond User-Side Defenses: Image Protection in Open-Weight Diffusion Models The paper proposes design requirements and evaluates defenses against model-side protection removal in open-weight image diffusion models. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Addresses image generation model security rather than multimodal understanding or reasoning. | |
| SSM-Attack: Learning Where to Perturb for Black-Box Face Privacy This paper proposes using state space models to guide black-box image perturbations that disrupt facial recognition systems. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Deals with face recognition image perturbations, not multimodal reasoning models. | |
| Fin_Agent at FinEval 2026: Task-Aware Methods for Multilingual Financial NLP The paper describes a system submission combining rules and language models for multilingual financial named-entity recognition and question answering. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Processes text-only financial documents, not multimodal data. | |
| Does System One Transfer? Calibrated Typed-Decision Models, Label Budgets, and Translation for Indonesian Regional Languages The paper evaluates the cross-lingual transfer, calibration, and translation sensitivity of fast typed-decision models on regional Indonesian languages. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Focuses on text classification in low-resource regional languages, not multimodal models. | |
| The AI's Poker Face: Contrasting Persuasion and Sycophancy in Voice-Based Multi-Turn Conversations The paper studies opinion change, rhetorical strategies, and sycophancy in spoken multi-turn dialogues between humans and language models. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Examines voice-based spoken dialogue without cross-modal reasoning or vision models. | |
| AutoEnvScaling: Automating the Data Flywheel with Terminal Agents The paper presents AutoEnvScaling, using terminal agents to automatically generate reinforcement learning environments from model rollouts. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Operates on terminal text commands and software tasks, not multimodal inputs. | |
| Simple Linear Corrections for Compression in Late Interaction The paper proposes a linear score correction method to recover retrieval quality in compressed late-interaction document representations. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Evaluates visual retrieval benchmarks but core contribution is text/multi-vector compression. | |
| Modeling the Arrival Time of Information-Bearing Events in Natural Language The paper uses neural temporal point processes to model the timing of information-bearing events in human and model generated text. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Studies natural language text streams without multimodal inputs. | |
| The Thinking Leakage in Reinforcement Learning for LLMs The paper examines whether non-thinking mode reinforcement learning gains in hybrid reasoning models stem from leakage of thinking-mode activations. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Examines reasoning modes in language models, not multimodal tasks. | |
| Evaluating LLMs as Agentic Workflow Executors in Real-World Customer Support Skills The paper introduces a benchmark derived from real customer support dialogues to evaluate language models executing bounded, tool-using skills. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Studies customer service text dialogues without multimodal models. | |
| Tokenization-Invariant Watermarking: A Byte-Local Method for LLM Text The paper presents a byte-local text watermarking method that scores outputs without invoking tokenizers during detection. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Applies watermarking to text bytes without multimodal elements. | |
| SciCurateBench: Curating Experimental Data from Heterogeneous Scientific Literature with Verbal-Action Agents The paper presents SciCurateBench to evaluate language models on verifying complex experimental conditions from unprocessed scientific literature. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Processes text and document criteria without multimodal modeling. | |
| SPROUT: Scaling Agentic Reinforcement Learning for Long-Horizon Software Engineering The paper presents SPROUT, a snapshot-based rollout framework to scale reinforcement learning for long-horizon software engineering tasks. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Targets software engineering code environments without multimodality. | |
| MemForm: Benchmarking Memory Formation Poisoning in LLM Agents The paper introduces MemForm to benchmark adversarial memory formation poisoning across five input interfaces in language model agents. Preprint | Multimodal models via arxiv · 15 Oct, 06:18 | Not relevant Investigates text-based agent memory without multimodal components. |
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