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.

All1,924 In brief3 More (on-topic)553 Not relevant1,333 Not assessed19 Older33 Could not confirm19 Blogs with no paper11 All blogs13

Paper	Topic	Relevance
AutoSFT: An Agentic System for Automated Data Research in Supervised Fine-Tuning The paper introduces a multi-agent system to automate data curation and dataset editing for supervised fine-tuning. Preprint	Multimodal models via arxiv · 17 Oct, 06:17	Not relevant Deals with text data preparation rather than multimodal models.
HTN-Orchestrate: A Hierarchical Task Network Framework for Multi-Agent Orchestration The paper introduces a hierarchical task network framework that separates multi-agent planning from execution scheduling. Preprint	Multimodal models via arxiv · 17 Oct, 06:17	Not relevant Does not involve multimodal models or vision-language processing.
Beyond Downstream QA: Rethinking How We Evaluate Agent Memory The paper presents a benchmark that isolates agent memory evolution from downstream retrieval and generation failures. Preprint	Multimodal models via arxiv · 17 Oct, 06:17	Not relevant Evaluates text-based agent memory rather than multimodal reasoning.
TRACE: Topology-Aware Reconnection via Prediction-Adaptive Connectivity Enforcement for Thin-Structure Segmentation The paper introduces an adaptive connectivity objective to improve deep learning segmentation of thin, continuous anatomical or physical structures. Preprint	Multimodal models via arxiv · 17 Oct, 06:17	Not relevant Pure computer vision method without multimodal or language integration.
Training-Free On-Policy Distillation The paper presents a closed-form, training-free approach to merge specialized fine-tuned models into a single student using forward passes. Preprint	Multimodal models via arxiv · 17 Oct, 06:17	Not relevant Evaluates text language models without examining multimodal data.
Language Is a Security Surface for Agent Guards The paper evaluates 19 safety guards across multiple non-English languages to measure how translation alters step-level safety decisions for agents. Preprint	Multimodal models via arxiv · 17 Oct, 06:17	Not relevant Focuses on text translations, not vision or multimodal processing.
Librarian Agents: Training LLMs to Curate Long-Context Workspaces that Anticipate Future Queries The paper trains language model agents to reorganize unstructured document collections into structured workspaces to speed up future multi-document queries. Preprint	Multimodal models via arxiv · 17 Oct, 06:17	Not relevant Handles unstructured text documents rather than multimodal image/video understanding.
AI Consilium: a Benchmark of LLM Clinical Multidisciplinary Second Opinions The authors develop a clinical benchmark evaluating language model pipelines for generating multidisciplinary second opinions on complex medical cases. Preprint	Multimodal models via arxiv · 17 Oct, 06:17	Not relevant Evaluates text-based clinical cases without multimodal image or audio models.
Knowledge That Is Linear Before Fine-Tuning Generalizes After It The authors study why certain linearly represented facts in language models support generalization to new relations after fine-tuning while other recalled facts do not. Preprint	Multimodal models via arxiv · 17 Oct, 06:17	Not relevant Focuses purely on language model representations, not multimodal data.
Learning Self-Orchestration in Decentralized Agent Swarms The authors present a market-based post-training framework that allows decentralized agent swarms to learn both action policies and coordination mechanisms without central orchestration. Preprint	Multimodal models via arxiv · 17 Oct, 06:17	Not relevant Focuses on multi-agent reinforcement learning and coordination rather than multimodal perception.
Evaluation Awareness Beyond English: Do LLMs Act Differently When Tested in Indic Languages? The authors evaluate how language models alter their refusal behavior when informed they are being monitored in English and five Indic languages. Preprint	Multimodal models via arxiv · 17 Oct, 06:17	Not relevant Focuses on text evaluation across languages rather than multimodal vision-language models.
MLExpert: Towards a Generalist Agentic Model for Autonomous Machine Learning Engineering The authors propose a post-training method enabling autonomous language model agents to organize experiments and carry out machine learning engineering tasks. Preprint	Multimodal models via arxiv · 17 Oct, 06:17	Not relevant Focuses on code and text-based ML engineering rather than multimodal perception or reasoning.
FDE-Gym: The Last Mile of AI Delivery The authors introduce FDE-Gym, a benchmark of 95 customer delivery tasks evaluating AI agents on ambiguous requirements and live software environments. Preprint	Multimodal models via arxiv · 17 Oct, 06:17	Not relevant Evaluates software engineering agents without focusing on multimodal reasoning or vision-language models.
T2-z: Test-Time Optimization of Environment Latents for Robotic World Models The authors propose T2-Z, a method optimizing learnable environment latents at test time to help robotic world models adapt to unobserved physical factors. Preprint	Multimodal models via arxiv · 17 Oct, 06:17	Not relevant Focuses on robotic dynamics optimization rather than multimodal foundation models or cross-modal reasoning.
Reliability without Validity: A Systematic, Large-Scale Evaluation of LLM-as-a-Judge Models Across Agreement, Consistency, and Bias The paper evaluates twenty-one language models used as judges across three benchmarks, finding widespread discrepancies between agreement metrics and underlying validity. PreprintOlder paper (2026) Older paper (2026) — discussed this week	Multimodal models via blog · 16 Oct, 06:19	Not relevant Focuses on text evaluation benchmarks, not multimodal perception models.
Perceptual Characterization of Scan-induced Artifacts in Dynamic 3D Meshes The paper characterizes scan-induced artifacts in dynamic 3D meshes to build a no-reference visual quality assessment method. Preprint	Multimodal models via arxiv · 15 Oct, 15:07	Not relevant Focuses on 3D mesh rendering quality, not multimodal AI models.
Frame Rate, Not the Grid: A Confound in Single-Clip Optical ENF Video Forensics The paper shows that camera frame rate harmonics confound optical electric network frequency estimates in video forensics, failing to detect generated video. Preprint	Multimodal models via arxiv · 15 Oct, 15:07	Not relevant Focuses on forensic signal processing, not multimodal language models.
$λ_0$: Scaling Open-World Egocentric Human Data for Humanoid Loco-Manipulation HumanVerse provides an egocentric dataset and alignment pipeline to transfer human loco-manipulation behaviors directly to humanoid robots without target-task fine-tuning. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Focuses on robotic loco-manipulation policies rather than multimodal foundation models.
Action Jets: Learning the Local Shape of the Action-conditioned Data Manifold Action Jets models the local shape of action-conditioned manifolds via Taylor approximations to enable efficient short-horizon robotic planning. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Focuses on vision-action dynamics manifolds without multimodal language or document understanding.
RingNav: Task-Shaped Circular Memory for Visual Heading RingNav is a compact visual heading estimator that restricts persistent memory updates to a circular manifold to improve trajectory tracking. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Focuses on pure visual SLAM heading estimation without multimodal interaction.
MonoMIP: Multi-Height Inverse Perspective Mapping for Monocular 3D Object Detection MonoMIP combines multi-height inverse perspective mapping with a dual-decoder framework to improve bird's-eye view reasoning in monocular 3D object detection. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Focuses on computer vision 3D detection without multimodal integration.
DoReMe: Dual optimization of Reconstruction and Motion estimation for self-navigated free-breathing abdominal MRI using Gaussian Splatting DoReMe uses Gaussian splatting primitives to jointly optimize image reconstruction and respiratory motion estimation in self-navigated free-breathing abdominal MRI. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Does not study multimodal models combining text, vision, audio, or speech.
Agronomic Characterization and Time-Series UAV Phenotyping to Support Field Pea Breeding in Iowa The study evaluates field pea breeding in Iowa by characterizing agronomic yield performance and extracting time-series traits from drone phenotyping data. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Applies UAV remote sensing to crop yield, not multimodal models.
Into the LidarVerse: A Real-Time Unified LiDAR World Model Across Tasks and Sensors LidarVerse provides a unified conditional generative LiDAR world model combining geometry-preserving spatial caches with amortized sequence learning across sensors and tasks. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Builds a generative LiDAR sensor model, not multimodal vision-language reasoning.
Decoupled Drift-Diffusion World Models for Consistent Future Frame Prediction D3WM decouples deterministic state transitions from spatial uncertainty to guide conditional diffusion for consistent future frame prediction in world models. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Studies future frame diffusion modeling, not multimodal language-vision systems.
A Gradient-Regularized Deep Learning Method for Restoring Image in Myopic Vision A gradient-regularized U-Net framework transforms images to counteract spherical eye defocus aberrations and improve visual clarity for myopic individuals. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Presents image-to-image defocus correction, not multimodal vision-language models.
Riding the Fixed-Point Curve: Image Classification in the Continuous Thought Machine The paper investigates the emergent dynamics of the Continuous Thought Machine during image classification using non-normal maps and fixed-point curves. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Explores unimodal image classification dynamics, not multimodal models.
Long-horizon Video Generation with Slot Memory Addressed By Region Tokens SMART introduces a slot-memory mechanism addressed by region tokens to achieve bounded memory and spatially consistent recall in long-horizon video generation. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Covers long-horizon video generation mechanisms, not multimodal cross-modality understanding.
Deep Learning for Atmospheric Turbulence Mitigation: A Comparison Between GANs and Transformers The paper compares GAN and Transformer architectures for mitigating atmospheric turbulence distortions in multi-frame imaging. Peer-reviewed	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Compares image restoration methods on single imagery, not multimodal models.
Data-free Multistep Diffusion Distillation The paper proposes a data-free multistep distillation method for text-to-image diffusion models to improve generation fidelity across sampling budgets. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Focuses on diffusion model distillation, not multimodal language-vision architectures.
SonoWorld: Towards Interactive Pose-Controllable Ultrasound World Models The paper proposes an interactive ultrasound world model that learns video dynamics and maps them to six-degree-of-freedom probe control. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Develops a diffusion-based ultrasound world model, not multimodal vision-language reasoning.
NavAble: A Large-Scale Dataset and Synthetic Data Generation Pipeline for Blind Navigation The paper introduces a dataset and synthetic generation pipeline focused on recognizing accessibility-critical objects to assist blind navigation. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Introduces a navigation dataset and synthetic rendering pipeline, not multimodal models.
Integrated Novelty Detection Systems: From Sensor Networks to Multi-Novelty Computer Vision The paper investigates novelty and anomaly detection techniques across rain gauge sensor networks and computer vision scenarios. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Addresses sensor anomaly detection, not multimodal models.
The Impact of Detector Architecture, Model Scale, and Scene Density on Multi-Pedestrian Tracking The paper benchmarks how detector architectures, model scale, and crowd density influence multi-pedestrian tracking performance in video sequences. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Addresses unimodal video object detection without multimodal integration.
Robust Explanatory Analysis for Structured Optimization Networks (REASON) in Learning The paper proposes a hierarchical two-loop optimization framework that uses residual errors to trigger active evidence acquisition during inference. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Not focused on multimodal vision-language architectures or cross-modal tasks.
Train to Stitch: Topology-Preserving Regularization for Interoperable Representations The paper introduces topological regularization to align latent spaces across independently trained autoencoders without inter-model communication. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Covers general neural representations, not multimodal vision-language models.
Learning to Select Features with Manifold Deep Unfolding PCA The paper proposes a deep unfolding network integrating manifold optimization for unsupervised feature selection in image processing. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Not related to multimodal models or vision-language processing.
DeBoneDiT: Depth-Driven Conditional Bridge Diffusion Transformers for Bone Suppression in Chest X-Ray Images The paper proposes a depth-conditioned diffusion transformer architecture to suppress overlapping bone structures in chest X-ray images. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Covers image-to-image bone suppression diffusion, not multimodal vision-language models.
Reducing the Gap Between Spatial and Space-Filling Curve Neighbors in 3D Point Cloud Segmentation The paper proposes a loss function that reduces spatial neighborhood discrepancies in space-filling curve representations for 3D point cloud segmentation. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Exclusively studies 3D point cloud geometric loss functions without multimodal components.
RDCompGS: Rate-Distortion Optimization for Compression of 3D Gaussian Splatting with Image Codecs The paper proposes an optimization method for 3D Gaussian Splatting that improves rate-distortion performance when compressing scenes with image codecs. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Investigates rate-distortion compression of 3D representations, not cross-modal understanding.
Cross-Scenario Industrial Defect Detection via Domain-Robust Training and Metric-Aligned Selection The paper presents a domain-generalization method to detect industrial board defects reliably across varied production environments and lighting conditions. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Addresses standard 2D computer vision defect classification, not multimodal models.
Adaptive Observation Control for Active Visual Recognition Adapts both field of view and fixation counts per image to optimize computation in active visual recognition. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Focuses purely on active vision classification, lacking multimodal integration.
Mapping Arctic Polynyas from Sea Ice Concentration Data Using Hierarchical Partitioning and Differentiated Region Growing: Sensitivity to Threshold and Product Choices Delineates Arctic coastal polynyas from satellite sea ice concentration data using hierarchical partitioning and region growing. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Applies classical image segmentation algorithms to sea ice data without multimodal models.
Remember, Revisit, Revise: Scaffold Memory for Long-Horizon 3D Geometry Equips frozen 3D geometry foundation models with an associative external memory to revise past predictions across long horizons. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Centers on geometric computer vision rather than multimodal learning.
MicroSDF: Microfacet-Driven Hybrid Neural SDFs for Mixed-Reflectance Surface Reconstruction Reconstructs mixed-reflectance 3D surfaces by integrating microfacet normal consistency into neural implicit distance fields. Peer-reviewed	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Addresses 3D graphics rendering rather than cross-modal understanding.
Enhancing Latent World Models with Associative Memory Adds content-addressable associative memory to latent world models to prevent collapse and improve long-horizon planning. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Addresses reinforcement learning dynamics, not vision-language multimodal models.
A Diagnostic Study of World-Space Human Recovery Under High Camera Dynamics Identifies scale mismatches as the cause of trajectory drift in monocular human recovery under rapid camera movement. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Deals with monocular human mesh recovery, not multimodal learning.
Object Pose from 2-D to 3-D Point and Line Correspondences Presents a trust-region optimization method using dual quaternions to estimate 3D object pose from 2D correspondences. Peer-reviewed	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Standard geometric 3D vision, not multimodal models.
HyperLoop: Hyperspectral-Assisted Loop Closure Detection in 3D-SLAM for Planetary Exploration Incorporates hyperspectral imaging descriptors into 3D Gaussian Splatting loop closure to prevent visual aliasing in planetary SLAM. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Hyperspectral robotics SLAM, not multimodal vision-language architectures.
Discriminative Score Function: Turning Pretrained Models into Functional Generative Priors Extracts generative image priors directly from the loss-gradient geometry of pretrained discriminative models without retraining. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Focuses on image-space discriminative models, not multimodal models.
Physics-Shaped, Not Physical: Auditing Physics-Guided Underwater Image Restoration Audits physics-guided underwater image restoration models, showing image-formation priors provide minimal benefit under full training data. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Focuses on single-image physics restoration, not multimodal foundation models.
Q-MAGIC: Quad-only Mesh Autoregressive Generation via Singularity-Aware Circular Relative Offset Tokenization Generates quad-only 3D meshes autoregressively using a singularity-aware tokenization scheme that preserves strict topology. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Focuses on 3D mesh serialization, not multimodal models.
Computational compressive imaging reconstruction with a simulated-annealing-based Ising solver Formulates computational compressive imaging reconstruction as an Ising model solved via simulated annealing. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Deals with optical physics reconstruction, not multimodal language-vision models.
FPV-CRASH: A Dataset for Offline Crash Moment Localization in Drone First-Person-View Videos Introduces a benchmark dataset to localize impact moments in drone first-person-view crash videos for post-flight analysis. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Addresses video crash localization, not multimodal reasoning architectures.
Improving Category-Aware Active Domain Adaptation via Uncertainty-Guided Region Coverage Improves active domain adaptation for difficult classes using region-based positive manifold coverage and uncertainty scoring. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Focuses on standard vision domain adaptation, not multimodal modeling.
VisibilitySplat: Ray-Traced Occlusion for Relighting with 3D Gaussian Splatting Combines 3D Gaussian Splatting with ray-traced occlusion estimation to enable relighting and material decomposition. Peer-reviewed	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Computer graphics inverse rendering, not multimodal text-image intelligence.
OmniPoser: Flexible Human Motion Recovery in the Wild with Masked Flow Matching Recovers full-body human motion from flexible sensor subsets using a cross-modal masking mechanism and single-step flow matching. Peer-reviewed	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Focuses on wearable sensor fusion and 3D motion, not multimodal models.
CoDy: Codec Dynamics as Complementary Priors for Unsupervised Temporal Action Localization Integrates video codec dynamics with visual features to improve unsupervised temporal action localization without manual annotations. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Processes video codecs and RGB, not text-vision multimodal LLMs.
CARD: Closing the Teacher-Student Loop for Adversarial Robustness Distillation Develops a closed-loop distillation pipeline where student feedback refines teacher models to improve adversarial robustness. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant General vision distillation, not cross-modal multimodal models.
Quantifying Annotation Agreement in Object Detection with Optimal Transport Applies optimal transport metrics to quantify graded annotation agreement and label discrepancies in object detection datasets. Preprint	Multimodal models via arxiv · 15 Oct, 15:06	Not relevant Focuses on 2D bounding box evaluation, not multimodal models.

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