Hugging Face Daily Papers
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Hugging Face Daily Papers research 5d ago
Look Light, Think Heavy: What Multimodal Chain-of-Thought Reasoning Can and Cannot Do
Abstract Multimodal Chain-of-Thought reasoning shows selective effectiveness across different tasks, with limitations in maintaining visual introspection during reasoning processes. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Chain-of-Thought (CoT) has become a standard method…
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DomainShuttle: Freeform Open Domain Subject-driven Text-to-video Generation
Abstract DomainShuttle enables open domain subject-driven text-to-video generation with high fidelity and flexibility across in-domain and cross-domain scenarios through domain-aware modeling and dual RoPE schemes. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Open domain…
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RoPE-Aware Bit Allocation for KV-Cache Quantization
Abstract Block-GTQ introduces a RoPE-aware bit allocation method for key-cache quantization that improves attention accuracy and downstream performance through adaptive bit distribution and packed cache serving. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Existing low-bit…
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Beyond NL2Code: A Structured Survey of Multimodal Code Intelligence
Abstract This survey explores multimodal code intelligence systems that generate and reason with code based on visual inputs, categorizing approaches across GUI, scientific visualization, structured graphics, and emerging frameworks while identifying verification-centered…
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IV-CoT: Implicit Visual Chain-of-Thought for Structure-Aware Text-to-Image Generation
Abstract Implicit Visual Chain-of-Thought decomposes visual conditioning into structural and semantic cascades for improved structure-aware image generation with sketch supervision. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Unified multi-modal large language models (MLLMs)…
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Advancing WordArt-Oriented Scene Text Recognition: Datasets and Methods
Abstract A large-scale synthetic dataset and specialized model architecture are introduced to address the challenges of artistic text recognition by improving data diversity and model flexibility for irregular text layouts. Generated by Qwen/Qwen2.5-Coder-32B-Instruct WordArt…
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Wan-Streamer v0.1: End-to-end Real-time Interactive Foundation Models
Abstract Wan-Streamer is a unified, end-to-end multimodal model that enables real-time audio-visual interaction through causal attention mechanisms and integrated processing of visual, audio, and text modalities. Generated by Qwen/Qwen2.5-Coder-32B-Instruct We present…
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MEMPROBE: Probing Long-Term Agent Memory via Hidden User-State Recovery
Abstract Long-term memory in LLM agents should be evaluated as an auditable post-interaction artifact by reconstructing structured user state from the agent's memory, as demonstrated by MEMPROBE, a benchmark testing memory recovery against synthetic ground truth across 50…
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Critique of Agent Model
Abstract True artificial agency requires internalized structures for goals, identity, decision-making, self-regulation, and learning, distinguishing autonomous systems from task-specific ones. Generated by Qwen/Qwen2.5-Coder-32B-Instruct What is an agent? What constitutes…
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InSight: Self-Guided Skill Acquisition via Steerable VLAs
Abstract InSight enables autonomous skill acquisition for vision-language-action models through primitive-action level steerability and automated demonstration generation. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Vision-language-action (VLA) models can learn manipulation…
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Multi4D: High-Fidelity Dynamic Gaussian Splatting via Multi-Level Competitive Allocation
Abstract Multi4D addresses the trade-off between motion consistency and visual fidelity in dynamic 3D Gaussian splatting through a multi-level competitive allocation framework that enables adaptive specialization and efficient representation. Generated by…
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Semantic Browsing: Controllable Diversity for Image Generation
Abstract Text-to-image models are enhanced with controlled diversity through semantic browsing capabilities that enable structured navigation of image variations based on meaningful semantic decisions. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Modern text-to-image models…
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AGORA: An Archive-Grounded Benchmark for Agentic Workplace Document Reasoning
Abstract Large language models face challenges in archive-grounded reasoning tasks involving evidence retrieval and synthesis across diverse document collections, with performance varying significantly across domains. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Large language…
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ChartWalker: Benchmarking the Cross-Chart RAG Task
Abstract ChartWalker presents a novel framework for cross-chart retrieval-augmented generation with hierarchical knowledge graph construction and structure-aware sampling for challenging multi-modal analytical tasks. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Cross-Chart…
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QG-MIL: A Gated Transformer Aggregator for Domain-Agnostic Multiple Instance Learning in Medical Imaging
Abstract QG-MIL introduces a gated transformer aggregator for multiple instance learning in medical imaging that stabilizes attention distribution and improves prediction consistency across different medical domains. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Attention-based…
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EventVLA: Event-Driven Visual Evidence Memory for Long-Horizon Vision-Language-Action Policies
Abstract EventVLA addresses long-horizon robotic manipulation challenges by introducing a sparse visual evidence memory framework with visual anchors and dynamic Keyframe Evidence Memory module for improved task performance. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Memory…
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OpenThoughts-Agent: Data Recipes for Agentic Models
Abstract An open-source data curation pipeline for training agentic language models is presented, demonstrating superior performance through systematic experimentation and scalable training data. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Agentic language models dramatically…
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DiffusionBench: On Holistic Evaluation of Diffusion Transformers
Abstract Researchers introduce NanoGen, a unified framework for training and evaluating diffusion transformers that demonstrates the need for comprehensive benchmarking beyond ImageNet class-conditional generation to assess true progress in generative modeling. Generated by…
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FLUX3D: High-Fidelity 3D Gaussian Generation with Diffusion-Aligned Sparse Representation
Abstract FLUX3D addresses limitations in image-to-3D Gaussian Splatting generation by improving representation learning and cross-modal alignment through specialized architectures and attention mechanisms. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Sparse voxel representation…
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World Value Models for Robotic Manipulation
Abstract World Value Model combines world models with value estimation to provide accurate task progression assessment and improve robotic policy learning from mixed-quality data. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Generalist value models play a pivotal role in scaling…
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LingxiDiagBench: A Multi-Agent Framework for Benchmarking LLMs in Chinese Psychiatric Consultation and Diagnosis
Abstract A large-scale multi-agent benchmark for evaluating LLMs in Chinese psychiatric diagnosis is introduced, highlighting challenges in dynamic consultation and the gap between consultation quality and diagnostic accuracy. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Mental…
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FLAT: Feedforward Latent Triangle Splatting for Geometrically Accurate Scene Generation
Abstract Video diffusion models are adapted to decode explicit surface primitives directly from latent space, enabling high-quality 3D scene generation with improved geometric accuracy and real-time rendering capabilities. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Generating…
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Escaping the Self-Confirmation Trap: An Execute-Distill-Verify Paradigm for Agentic Experience Learning
Abstract EDV is a three-stage framework that uses multiple heterogeneous agents to collaboratively construct reliable experiences for LLM agents, preventing self-confirmatory errors through execute-distill-verify processes. Generated by Qwen/Qwen2.5-Coder-32B-Instruct…
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FlowR2A: Learning Reward-to-Action Distribution for Multimodal Driving Planning
Abstract FlowR2A addresses the tension in multimodal driving planning by combining dense reward supervision with dynamic proposal generation through a flow-matching decoder that learns reward-conditioned action distributions. Generated by Qwen/Qwen2.5-Coder-32B-Instruct…
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An Efficient Method for the Optimal Control of Microgrids Under Uncertainties using Local Reduction
Abstract Two mathematical formulations for robust microgrid sizing and power scheduling are proposed and compared, with one using binary variables and big-M constraints and the other using continuous nonlinear programming with smooth reformulation of logical constraints.…
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Qwen-AgentWorld: Language World Models for General Agents
Abstract Language-based world models enable agentic environment simulation across multiple domains and enhance general agent performance through scalable simulation and improved downstream task performance. Generated by Qwen/Qwen2.5-Coder-32B-Instruct A world model predicts…
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NatureBench: Can Coding Agents Match the Published SOTA of Nature-Family Papers?
Abstract NatureBench presents a cross-disciplinary benchmark of 90 scientific tasks derived from Nature publications to assess AI coding agents' ability to achieve discovery rather than just reproduction, revealing that current agents primarily rely on methodological translation…
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DREAM: Dense Retrieval Embeddings via Autoregressive Modeling
Abstract DREAM trains dense retrieval embeddings using autoregressive language model attention mechanisms to supervise document-query similarity without requiring labeled examples. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Dense retrieval embedding models are a fundamental…
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FedOT: Ownership Verification and Leakage Tracing via Watermarks for Federated LDMs
Abstract FedOT is a novel framework that enables ownership verification and leakage tracing in federated latent diffusion models by introducing chunked watermarking and latent vector transformation to prevent watermark removal attacks. Generated by…
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ReMMD: Realistic Multilingual Multi-Image Agentic Verification for Multimodal Misinformation Detection
Abstract A comprehensive multimodal misinformation detection framework is introduced that handles complex, multilingual content with multiple images and diverse verification approaches, achieving superior performance while reducing computational costs. Generated by…
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Holistic Data Scheduler for LLM Pre-training via Multi-Objective Reinforcement Learning
Abstract A novel online data mixing framework called Holistic Data Scheduler uses reinforcement learning with a multi-objective reward function to optimize large language model pre-training efficiency and performance. Generated by Qwen/Qwen2.5-Coder-32B-Instruct The composition…
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Are Text-to-Image Models Inductivist Turkeys? A Counterfactual Benchmark for Causal Reasoning
Abstract Text-to-image models fail to generate counterfactual scenes because they rely on tightly coupled visual-textual patterns rather than causal reasoning, demonstrating limited understanding beyond pattern matching. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Text-to-image…
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MemGUI-Agent: An End-to-End Long-Horizon Mobile GUI Agent with Proactive Context Management
Abstract MemGUI-Agent addresses long-horizon mobile GUI task limitations through proactive context management using Context-as-Action (ConAct) to maintain critical information across extended sequences. Generated by Qwen/Qwen2.5-Coder-32B-Instruct MLLM-based mobile GUI agents…
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MobileForge: Annotation-Free Adaptation for Mobile GUI Agents with Hierarchical Feedback-Guided Policy Optimization
Abstract MobileForge enables efficient adaptation of mobile GUI agents through annotation-free learning by combining real app interaction grounding with hierarchical feedback-guided policy optimization. Generated by Qwen/Qwen2.5-Coder-32B-Instruct MLLM-based mobile GUI agents…
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Tapered Language Models
Abstract Tapered language models allocate more parameters to earlier layers and fewer to later layers, improving performance without increasing total parameters or compute costs. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Modern language models, including transformer,…
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VeriEvol: Scaling Multimodal Mathematical Reasoning via Verifiable Evol-Instruct
Abstract A novel framework called VeriEvol is introduced that addresses the challenge of scaling reinforcement learning for visual mathematical reasoning by ensuring reliable reward labels through a two-axis approach that separates prompt difficulty from answer reliability,…
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Beyond Reward Engineering: A Data Recipe for Long-Context Reinforcement Learning
Abstract Data-centric approach using curated datasets and minimal GRPO setup significantly improves long-context reasoning in large language models, outperforming prior reinforcement learning methods. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Long-context reasoning is an…
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TROPT: An Open Framework for Unifying and Advancing Discrete Text Optimization
Abstract A unified open-source framework for discrete text-trigger optimization that standardizes the development and execution of optimization strategies across various domains and applications. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Discrete text-trigger optimization --…
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Lift4D: Harmonizing Single-View 3D Estimation for 4D Reconstruction In-the-Wild
Abstract Lift4D presents a test-time optimization framework that combines temporal consistency from single-view 3D reconstruction with deformable 3D Gaussian Splatting and view-conditioned diffusion priors to reconstruct dynamic non-rigid objects from monocular video. Generated…
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Comparing Linear Probes with Mahalanobis Cosine Similarity
Abstract The Mahalanobis cosine similarity provides a theoretically grounded method for comparing linear probes that correlates strongly with out-of-distribution performance metrics. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Linear probes are widely used in interpretability…
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ShotcreteDepth: A Bi-modal Dataset for Robust Robotic Depth Perception in Shotcrete Construction Environments
Abstract A bi-modal construction domain dataset combining stereo RGB and LiDAR data under challenging environmental conditions is introduced for autonomous system perception research. Generated by Qwen/Qwen2.5-Coder-32B-Instruct We introduce ShotcreteDepth, a bi-modal dataset…
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Self-Compacting Language Model Agents
Abstract SelfCompact is a scaffolding approach that enables models to autonomously determine optimal compaction timing and methods for managing long agent traces, achieving better performance with reduced token costs compared to fixed-interval methods. Generated by…
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When Agents Commit Too Soon: Diagnosing Premature Commitment in LLM Agents
Abstract Pre premature commitment in long-horizon LLM agents leads to silent failures where agents defend early interpretations without considering alternatives, and hidden-state convergence serves as an early diagnostic for trajectory consistency. Generated by…
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Go-with-the-Track: Video Compositing and Motion Control with Point Tracking
Abstract Go-with-the-Track unifies motion control and reference image compositing in video generation by using point-track embeddings with spatial-aware encoding and video diffusion transformers. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Filmmaking demands precise motion…
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Libretto: Giving LLM Agents a Sense of Musical Structure
Abstract Libretto provides a structured framework for symbolic music generation and revision using LLM-native grammar and statistical evaluation across musical dimensions. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Generative music systems can now produce impressive audio from…
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A Verifiable Search Is Not a Learnable Chain-of-Thought
Abstract Training models on chain-of-thought demonstrations fails for tasks requiring backtracking search because the forward derivation cannot be faithfully imitated, demonstrating a fundamental limitation in learning search procedures through demonstration. Generated by…
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Vera: A Layered Diffusion Model for Content-Preserving Video Editing
Abstract Vera is a layered diffusion framework that preserves video content during editing by generating edit layers and alpha mattes through a Mixture-of-Transformers architecture. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Video diffusion models have enabled remarkable…
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Robusto-2: Benchmarking Humans & VLMs for Autonomous Driving in Lima & New York City
Abstract Research examines how self-driving car systems and humans perform on visual question answering tasks across different geographic locations, revealing that both human and AI responses diverge based on question types but show similar performance regardless of location.…
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An Exploratory Case Study of LLM-Assisted Refactoring and Gameplay Feature Generation in an Endless Runner Game
Abstract Large language models demonstrate varying effectiveness in software development tasks, successfully completing localized refactoring but showing limitations in integrating new gameplay features within existing game systems. Generated by Qwen/Qwen2.5-Coder-32B-Instruct…
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AC-ODM: Actor--Critic Online Data Mixing for Sample-Efficient LLM Pretraining
Abstract AC-ODM optimizes pretraining data composition for LLMs using reinforcement learning to improve convergence speed and downstream accuracy while maintaining computational efficiency. Generated by Qwen/Qwen2.5-Coder-32B-Instruct Optimizing pretraining data composition is…
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