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 |
|---|---|---|---|
| Why Generate a Click? Plug-in Decision Heads for Web Agents This paper introduces plug-in decision heads that read action choices directly from visual agent hidden states rather than generating text tokens. Ranked #61Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Integrates vision-language models with visual token pooling for GUI understanding. | |
| Are We Really Measuring Forgetting? Pitfalls in Evaluating Machine Unlearning for Multimodal LLMs The paper identifies evaluation pitfalls in multimodal machine unlearning and introduces a benchmark grounded in real-world knowledge. Ranked #62Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Investigates unlearning capabilities and benchmark protocols specifically for multimodal LLMs. | |
| What Does LALM Post-training Learn? Rethinking Audio Understanding and Reasoning Capabilities The paper analyzes post-training in audio-language models to separate genuine audio reasoning gains from question-format memorization. Ranked #63Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Investigates what multimodal large audio-language models learn during post-training. | |
| LED-BENCH: A Benchmark for Large-format Engineering Drawing Understanding The paper presents LED-BENCH, a multidisciplinary benchmark evaluating multimodal model understanding and complex reasoning across large-format engineering drawings. Ranked #64New testPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Presents a benchmark for testing multimodal LLMs on complex document reasoning over engineering diagrams. | |
| How Far Can Coding Agents Go in Visual Generation? The study evaluates coding agents generating images via executable code, analyzing their strengths in geometric constraints over photorealistic drawing. Ranked #65Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Examines visual generation and visual question answering using code-based representations. | |
| Following Delegation Traces to Study Human Oversight in Interaction with Multimodal AI Investigates how user trust influences delegation and verification choices during human interaction with multimodal video question-answering systems. Ranked #66New way to see a problemPreprint7/10 suggested | Multimodal models via arxiv · 17 Oct, 06:17 | On-topic Examines human delegation and verification behaviors when interacting with multimodal AI video systems. | |
| Cross-Prompt Inference Mitigates Rare-Class Suppression in Imbalanced VLM Finetuning Introduces cross-prompt inference to recover rare-class recall drops caused by class-imbalanced finetuning in vision-language models. Ranked #67Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Addresses rare-class recall and prompt interactions during vision-language model finetuning. | |
| Loud and Clear: Making Visual Evidence Count in Multimodal Document RAG The paper examines how increasing visual token budgets and cropping key evidence improves document retrieval-augmented generation in vision-language models. Ranked #68Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 17 Oct, 06:17 | On-topic Examines vision-language model comprehension of complex multimodal document pages. | |
| VELD-QA: A Large-Scale Dataset for Visual Evidence Grounding and Question Answering in Long Documents Presents a benchmark with human-annotated visual evidence to evaluate retrieval and question answering across long documents. Ranked #69New testPreprint7/10 suggested | Multimodal models via arxiv · 17 Oct, 06:17 | On-topic Focuses on multimodal vision-language understanding of PDF charts and layouts. | |
| REKI: Registering Knowledge in VLAs The paper introduces a compact vision-language-action model using register tokens as persistent memory to reduce control oscillations in robotics. Ranked #70New way to see a problemPreprint7/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Integrates vision-language models with action prediction experts for multimodal robotic control. | |
| Seeing is Believing: Benchmarking and Mitigating the Interference of Language Priors on Visual Perception in MLLMs The paper benchmarks how language priors override visual evidence in multimodal models and proposes an adaptation technique to mitigate them. Ranked #71Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Investigates multimodal LLM failures caused by language priors overriding visual input. | |
| Perception or Reasoning? Diagnosing and Tackling Reinforcement Learning Bottlenecks in VLMs Introduces an attribution metric to diagnose whether perceptual limits or reasoning gaps constrain reinforcement learning gains in vision-language models. Ranked #72New way to see a problemPreprint7/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Diagnoses perceptual versus reasoning bottlenecks when applying reinforcement learning to VLMs. | |
| Do VLAs Really Follow Instructions? Diagnosing How-Level Instruction Following in Vision-Language-Action Models Studies how vision-language-action models fail to follow process instructions and introduces a benchmark to measure instruction compliance. Ranked #73Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Evaluates instruction following in multimodal vision-language-action models. | |
| Beyond Generation: Using Multimodal LLMs as Detectors of LLM-Generated Deepfake Facial Images Evaluates whether multimodal language models can detect AI-generated synthetic facial images using visual reasoning or digital artifacts. Ranked #74Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Investigates multimodal LLMs for visual synthetic media detection and consistency analysis. | |
| MYOPIA: Understanding the Limits of Tree-Based Reasoning in Vision-Language Models Introduces a benchmark evaluating decision tree reasoning in vision-language models, revealing accuracy drops compared to direct zero-shot prompting. Ranked #75Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Evaluates reasoning and attribute grounding in vision-language models using decision trees. | |
| Do As I Do, Not As I Say: On-Policy Distillation Inherits the Teacher in Vision-Language Models Evaluates on-policy distillation versus supervised fine-tuning in vision-language models, analyzing how teacher reliability impacts student behavior. Ranked #76Surprising resultPreprint7/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Analyzes post-training distillation strategies specifically for vision-language models. | |
| OmniCompass: A Holistic Benchmark for Omni-Modal Video Grounding and Understanding This paper introduces a benchmark to evaluate multimodal models on joint audio-visual temporal grounding, spatial grounding, and question answering. Ranked #77New testPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 06:17 | On-topic Provides a comprehensive benchmark for evaluating vision-language and omni-modal video understanding models. | |
| VideoJev: System One Model for Video Understanding and Interaction The paper adapts multimodal language models using scoring heads and computation caching for fast video decision-making and interaction. Ranked #78Surprising resultPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Adapts multimodal large language models for structured video understanding tasks. | |
| S-Space: Exploring Spatial Workspace in Multimodal Language Models The paper identifies a linear spatial workspace subspace in multimodal language models that encodes continuous 3D coordinate representations. Ranked #79New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Discovers internal spatial representation mechanisms in multimodal language models (MLLMs). | |
| X-Ragent: Tool-Augmented Reinforcement Learning for Evidence-Grounded Chest X-Ray Reasoning The paper introduces a tool-augmented reinforcement learning framework for evidence-grounded chest X-ray diagnostic reasoning. Ranked #80New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Develops a vision-language agent framework for multimodal reasoning over chest X-ray images. | |
| VLA-$Δ$: Learning Physical State Transition for Vision-Language-Action Models Proposes explicit learning of physical state transitions between current and future scenes to train robust vision-language-action robotic policies. Ranked #81New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Supervises physical state transitions to improve vision-language-action multimodal models for robotics. | |
| CommerceGen-Studio: An End-to-End Framework for Commercial-Grade Main-Image Generation This paper introduces CommerceGen-Studio, an end-to-end framework using specialized agents and diffusion models to generate e-commerce product images. Ranked #82New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Combines VLM metadata extraction with text-to-image conditioned diffusion generation. | |
| VEDJE: Video-Efficient Discriminative Joint Encoder for Scalable Video-Text Retrieval The paper proposes VEDJE, compressing video features into reusable caches with feature-change prediction for efficient and scalable video-text retrieval. Ranked #83Surprising resultPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Addresses video-text multimodal representation compression and retrieval. | |
| LensErase: A Foundation Model for Erase Anything This paper presents a foundation model and a hundred-million-image dataset for mask-based object, text, and watermark erasure in images. Ranked #84New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Develops a vision-language foundation model for mask-based image editing and erasing. | |
| Intern Lumina U2: A Multi-Codebook Diffusion Large Language Model for Omni-Visual Understanding and Image Generation Uses a multi-codebook diffusion language model to jointly represent text and discrete visual tokens for multimodal generation. Ranked #85New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Introduces a unified multimodal diffusion model spanning text and visual understanding and generation. | |
| DeltaStreamer: Towards Human-Like Agentic Streaming Video Understanding This paper proposes an agentic video framework combining change-aware memory and targeted replay for streaming video understanding. Ranked #86New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Focuses on multimodal understanding of streaming video using visual memory and planning. | |
| Data-Centric Recursive Self-Improvement for Navigation via Policy-Synchronized Language-Action Dual Bootstrapping This paper introduces a recursive self-improvement method that unifies instruction-following and instruction generation within a shared model for vision-language navigation. Ranked #87New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Unifies vision-language instruction following and generation for multimodal agent navigation. | |
| Simplifying and Improving On-Policy Distillation for Few-Step Diffusion Proposes Simplified Matching Distillation, a regression-based on-policy method that enables four-step generation for diffusion models. Ranked #88New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Applies few-step distillation across multimodal generation tasks including audio-video and 3D synthesis. | |
| Orbia: Do Generated Videos Form a Consistent 3D World? Presents a benchmark to evaluate 3D consistency, input preservation, and content persistence in interactive video world models. Ranked #89New testPreprint6/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Evaluates 3D spatial consistency and physical persistence in generative video world models. | |
| Can World and Action Modeling Benefit Each Other under Unified Causal Training? Tests whether jointly training action-conditioned world models and robot policy models in a single architecture improves both tasks. Ranked #90Surprising resultPreprint6/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Investigates unified training of vision, video dynamics, and robotic actions. | |
| InfoVis: Unified Slide Image Generation and Editing The paper introduces InfoVis, a 9B multimodal model along with a benchmark and training dataset for slide image generation and editing. Ranked #91New testPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 06:17 | On-topic Unifies text rendering, visual grounding, and image generation for slides. | |
| Latent World Action Model for GUI Agents The paper presents a latent world action model that predicts action-induced state transitions rather than full-screen pixel reconstructions for graphical agents. Ranked #92New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 06:17 | On-topic Leverages large multimodal models for visual GUI screen understanding and action modeling. | |
| Velox: Spatial Memory Makes World Models Efficient Introduces a geometry-based attention router that selects visual memory contexts to speed up chunked video world model generation. Ranked #93Surprising resultPreprint6/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Improves long-rollout efficiency in generative video world models using spatial memory routing. | |
| DataVista: Diagnosing Multimodal LLMs on Data Video Understanding Introduces a benchmark evaluating multimodal language models on extracting data, tracking narrative flows, and answering questions from animated data videos. Ranked #94New testPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Directly assesses multimodal LLMs on animated charts combining visual data, time, and narrative text. | |
| GroundGUI: GUI Grounding by High-Quality Data and Distillation-to-Reinforcement Learning Presents a large graphical user interface grounding dataset and a combined distillation and reinforcement learning training method for agents. Ranked #95New testPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Develops a multimodal vision-language model and dataset for grounded understanding of screen images. | |
| Efficient Scene-Text Refinement via Pixel-Space Grouped Image Generation Introduces PixText, a pixel-space grouped generation model for efficient localized text correction in generated images. Ranked #96New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Investigates multimodal scene-text refinement combining visual layout preservation and OCR accuracy. | |
| Self-Conditioning Enables Deep Sequential Reasoning in Flow Matching Proves theoretically that self-conditioning enables genuine multi-step reasoning in flow matching where standard samplers fail. Ranked #97Surprising resultPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Studies visual reasoning and generation capabilities within deep generative flow matching architectures. | |
| CarryOn: A Dual-Loop Harness for Personalized and Reliable Robot Assistance Proposes a dual-loop harness augmenting frozen robot policies with persistent user preferences and proactive safety assurance. Ranked #98New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 17 Oct, 06:18 | On-topic Augments vision-language-action multimodal policies for reliable personalized robotic manipulation. | |
| Omni-Modal LLMs Know More Than They Say This paper analyzes why omni-modal language models perceive non-textual inputs correctly yet fail to mention them in text outputs. Ranked #99New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 06:17 | On-topic Investigates representation alignment across vision, audio, IMU, and text in omni-modal LLMs. | |
| TextVerifier: Seeing Beyond Recognition to Verify Chinese Text Rendering The paper introduces TEXTVERIFIER, a verification framework using character structural sequences to detect fine rendering defects in generated Chinese text. Ranked #100New testPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Evaluates multimodal models and verifiers on identifying detailed visual text rendering defects. | |
| Rethinking LLM-Guided Visual Question Answering: Does Deeper Knowledge Integration Really Help? The study compares LLM guidance integration strategies for visual question answering, showing shallow late fusion outperforms deeper attention injection. Ranked #101Surprising resultPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Investigates integrating LLM knowledge into vision-language architectures for visual question answering. | |
| Memory as Weights: Internalizing Long-Term History for Streaming Videos The paper compresses video history into evolving lightweight model weights instead of competing for limited input context length. Ranked #102New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 17 Oct, 06:17 | On-topic Develops a vision-language framework and dataset specifically for long-term streaming video understanding. | |
| Jag: Direct Box Prediction for Efficient Visual Grounding Adapts multimodal models for direct continuous bounding box prediction using a lightweight regression head in a single forward pass. Ranked #103New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Adapts pretrained multimodal vision-language models for direct visual grounding and coordinate localization. | |
| WorldMemBench: A Comprehensive Benchmark for Memory of Video World Models WorldMemBench introduces an evaluation benchmark assessing static entity retention and dynamic event persistence in video world models over multi-revisit paths. Ranked #104New testPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Evaluates memory and temporal consistency in generative video world models. | |
| Video-Arena: A Scalable Agentic Video Benchmark for Spatiotemporal Capability This paper introduces a video benchmark derived from competitive game records to evaluate dynamic spatiotemporal world state tracking. Ranked #105New testPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 06:18 | On-topic Presents a benchmark evaluating spatiotemporal world state tracking in video models. | |
| EventLens: Event-Structure Reinforcement Learning for Video Understanding This paper presents EventLens, a reinforcement learning framework that trains multimodal models to understand video through explicit event structure recovery. Ranked #106New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 06:17 | On-topic Focuses on temporal event structure understanding in multimodal vision-language models. | |
| Equal CER, Unequal Damage: Severity-Weighted Character Error Rate for OCR Proposes a severity-weighted character error rate that charges text transcription errors based on their practical impact on reader understanding. Ranked #107New testPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Evaluates OCR transcription performance in vision-language models. | |
| Stride: Scale-Aware Multi-Agent Evolutionary Refinement for Infographic Generation Proposes a multi-agent evolutionary framework that routes global composition edits and local retouching for constrained infographic generation. Ranked #108New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Addresses multimodal text-to-image infographic synthesis using multi-agent multimodal refinement. | |
| TextVBench: Evaluating Text Rendering and Preservation in Video Generation Introduces a benchmark evaluating text rendering and temporal preservation in text-to-video and reference-to-video generation models. Ranked #109New testPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Benchmarks text-to-video and reference-to-video generation fidelity across text and video modalities. | |
| OWLET: On-Policy Weighted Learning via Evidence Transfer for Video Large Language Model Post-Training Introduces an on-policy post-training framework that incorporates visual evidence transfer to improve reasoning in video large language models. Ranked #110New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Directly addresses reasoning and post-training in Video Large Language Models. | |
| Benchmarking Answer-Grounding Consistency in Remote Sensing Visual Question Answering Introduces an evaluation protocol and dataset to measure consistency between textual answers and visual grounding in remote sensing VQA. Ranked #111New testPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Benchmarks vision-language models on multimodal visual question answering and grounding consistency. | |
| From Glance to Focus: Mitigating Recognition Laziness in MLLMs for Fine-Grained Recognition Investigates fine-grained visual recognition failures in multimodal LLMs and proposes an inference-time method to mitigate visual cue under-utilization. Ranked #112New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Investigates multimodal large language models and improves their fine-grained visual recognition capabilities. | |
| Measurable Semantic 3D Gaussian Splatting with Joint Region and Depth Supervision for Interactive Building Inspection Develops a semantic 3D Gaussian Splatting pipeline with depth and region supervision for interactive metric measurements during building inspections. Ranked #113New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Integrates semantic Gaussian fields with multimodal large language models for interactive visual inspection. | |
| What Do Visual-Head Discovery Scores Actually Find? Attention Source, Necessity, and Random-Control Pitfalls in Vision-Language Models Evaluates how scoring configurations and query choices impact the discovery, steerability, and necessity of visual attention heads in VLMs. Ranked #114Surprising resultPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Investigates visual attention head discovery, necessity, and hallucination reduction in vision-language models. | |
| Robota-Embed: Unified VLA Embeddings for Robot In-Context Learning and Evolution The paper introduces an embedding model that jointly encodes vision, language, and action to retrieve relevant historical trajectories for robot learning. Ranked #115New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 15 Oct, 15:06 | On-topic Develops joint vision-language-action embedding models to retrieve multimodal context for robotics. | |
| Video Codec-Guided Training-Free Token Compression for Video Large Language Models Proposes a training-free token compression method for video language models using video codec motion vectors and residuals as priors. Ranked #116New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Addresses efficient visual token compression for video large language models. | |
| CaptchaAgent: Verifiable Visual Reasoning for CAPTCHA Solving Presents a structured visual reasoning agent that uses intermediate symbolic representations to solve complex visual CAPTCHAs. Ranked #117Surprising resultPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Addresses structured visual reasoning and grounding in vision-language model agents. | |
| Feature Competition and Its Representational Origins in Vision Language Models: Evidence from the Stroop Paradigm Benchmarks vision-language models on the Stroop paradigm to evaluate feature competition and text-versus-color bias. Ranked #118Surprising resultPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Investigates feature competition and representational bias between text and color in vision-language models. | |
| CASTER: Formalizing Zero-Shot Manipulation from Synthetic Videos as Constrained Optimization Formulates zero-shot robot manipulation from synthetic video generation as a constrained trajectory optimization problem. Ranked #119New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Uses multimodal video generation models to guide real-world robot manipulation policies. | |
| OneSearch-VL: Unified Multimodal Deep Research Agent for Image and Video Introduces a unified multimodal agent using evidence graphs to supervise external retrieval and reasoning across images and videos. Ranked #120New way to see a problemPreprint6/10 suggested | Multimodal models via arxiv · 12 Oct, 16:28 | On-topic Proposes a multimodal research agent linking visual grounding and retrieval across images and video. |
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