Generative Models

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Benchmarking LLM-Based Static Analysis for Secure Smart Contract Development: Reliability, Limitations, and Potential Hybrid Solutions
May 11, 2026Stefan-Claudiu Susan, Andrei Arusoaie, Dorel LucanuSmart Contracts Program Analysis
A Cascaded Generative Approach for e-Commerce Recommendations
May 11, 2026Moein Hasani, Hamidreza Shahidi, Trace Levinson +4Large-Scale Recommendation Systems E-Commerce
HiDream-O1-Image: A Natively Unified Image Generative Foundation Model with Pixel-level Unified Transformer
May 11, 2026Qi Cai, Jingwen Chen, Chengmin Gao +22Large-Scale Image Generation Generative Models
Neural at ArchEHR-QA 2026: One Method Fits All: Unified Prompt Optimization for Clinical QA over EHRs
May 11, 2026Abrar Majeedi, Viswanatha Reddy Gajjala, Sai Prasanna Teja Reddy Bogireddy +1Electronic Health Records Data Generation
Predicting 3D structure by latent posterior sampling
May 11, 2026Azmi Haider, Dan Rosenbaum3D Latent Diffusion Model 3D Reconstruction
Reinforce Adjoint Matching: Scaling RL Post-Training of Diffusion and Flow-Matching Models
May 11, 2026Andreas Bergmeister, Stefanie Jegelka, Nikolas Nüsken +2Reinforcement Learning Post-Training Reward Gradients
Kernel-Gradient Drifting Models
May 11, 2026Maria Esteban-Casadevall, Jorge Carrasco-Pollo, Max Welling +3Wasserstein Gradient Flows Generative Models
LimeCross: Context-Conditioned Layered Image Editing with Structural Consistency
May 11, 2026Ryugo Morita, Stanislav Frolov, Brian Bernhard Moser +4Image Editing Large-Scale Image Generation
Active Tabular Augmentation via Policy-Guided Diffusion Inpainting
May 11, 2026Zheyu Zhang, Shuo Yang, Bardh Prenkaj +1Augmentation Synthetic Tabular Data
Qwen Goes Brrr: Off-the-Shelf RAG for Ukrainian Multi-Domain Document Understanding
May 11, 2026Anton Bazdyrev, Ivan Bashtovyi, Ivan Havlytskyi +2Multimodal Documents Retrieval-Augmented Generation Systems
Generating Symmetric Materials using Latent Flow Matching
May 11, 2026Anmar Karmush, Cedric Mathieu Brandenburg, Soheil Ershadrad +3Crystal Structure Molecular Generation
Retrieve-then-Steer: Online Success Memory for Test-Time Adaptation of Generative VLAs
May 11, 2026Jianchao Zhao, Huoren Yang, Yusong Hu +6Frozen Vision-Language Models Closed-Loop Reliability
PoDAR: Power-Disentangled Audio Representation for Generative Modeling
May 11, 2026Alejandro Luebs, Mithilesh Vaidya, Ishaan Kumar +5Audio Latent Audio Representation
A Stability Benchmark of Generative Regularizers for Inverse Problems
May 11, 2026Alexander Denker, Johannes Hertrich, Sebastian NeumayerIll-Posed Inverse Problem Inverse Problem
Not-So-Strange Love: Language Models and Generative Linguistic Theories are More Compatible than They Appear
May 11, 2026R. Thomas McCoyLinguistics Theoretical Foundations
The two clocks and the innovation window: When and how generative models learn rules
May 11, 2026Binxu Wang, Emma Lucia Byrnes Finn, Bingbin LiuGenerative Models Clocks
HapticLDM: A Diffusion Model for Text-to-Vibrotactile Generation
May 11, 2026Jiahao Xiong, Fei Wang, Anran Xu +4Text Generation Vibration
TRACER: Verifiable Generative Provenance for Multimodal Tool-Using Agents
May 11, 2026Bihui Yu, Caijun Jia, Jing Chi +6Multimodal Agents Multi-Turn Tool-Use Agent
Learning to Align Generative Appearance Priors for Fine-grained Image Retrieval
May 11, 2026Shijie Wang, Yadan Luo, Zijian Wang +2Fine-Grained Perception Generalized Category Discovery
Fairness of Explanations in Artificial Intelligence (AI): A Unifying Framework, Axioms, and Future Direction toward Responsible AI
May 11, 2026Gideon Popoola, John SheppardExplainable Artificial Intelligence Implicit Bias
Dystruct: Dynamically Structured Diffusion Language Model Decoding via Bayesian Inference
May 10, 2026Bian Sun, Kevin Zhai, Mubarak Shah +1Diffusion Language Models Text Generation
Marrying Generative Model of Healthcare Events with Digital Twin of Social Determinants of Health for Disease Reasoning
May 10, 2026Ziquan Wei, Tingting Dan, Guorong WuInternational Classification Of Disease Codes Multimodal Clinical Data
KAN Text to Vision? The Exploration of Kolmogorov-Arnold Networks for Multi-Scale Sequence-Based Pose Animation from Sign Language Notation
May 10, 2026Guanyi Du, Lintao Wang, Kun Hu +1Sign Language Recognition Sign Language
PermuQuant: Lowering Per-Group Quantization Error by Reordering Channels for Diffusion Models
May 10, 2026Yongsen Cheng, Kai Liu, Kaiwen Tao +5Weight-Only Quantization Permutation
Inverse Design for Conditional Distribution Matching
May 10, 2026Ori Meidler, Shaul Tolkovsky, Or ZukGenerative Inverse Design Conditional Distribution
Tabular Foundation Model for Generative Modelling
May 10, 2026Xiangjian Jiang, Mingxuan Liu, Nikola Simidjievski +2Tabular Foundation Models Synthetic Tabular Data
On Variance Reduction in Learning Mean Flows
May 10, 2026Juanwu Lu, Ziran WangGenerative Flow Networks Velocity Field
Towards Robust Sequential Decomposition for Complex Image Editing
May 10, 2026Zilai Zeng, Mingdeng Cao, Zijie Li +5Image Editing Large-Scale Image Generation
CrystalREPA: Transferring Physical Priors from Universal MLIPs to Crystal Generative Models
May 9, 2026Chengqian Zhang, Yucheng Jin, Duo Zhang +2Crystal Interatomic Potentials
Discrete Flow Matching: Convergence Guarantees Under Minimal Assumptions
May 9, 2026Le-Tuyet-Nhi Pham, Giovanni Conforti, Zhenjie Ren +1Conditional Flow Matching Maximum Mean Discrepancy
HairGPT: Strand-as-Language Autoregressive Modeling for Realistic 3D Hairstyle Synthesis
May 9, 2026Haimin Luo, Min Ouyang, Lan Xu +1Generative Models Controllable Video Generation
Deterministic Decomposition of Stochastic Generative Dynamics
May 9, 2026Xingyu Song, Yuan Mei, Naoya TakeishiStochastic Generative
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May 9, 2026Yunyi Xuan, Hao Yi, Fengling Mao +9Profile Interaction History
FedGMI: Generative Model-Driven Federated Learning for Probabilistic Mixture Inference
May 9, 2026Qijun Hou, Yuchen Shi, Pingyi Fan +1Federated Learning Fedavg
Generative Actor-Critic with Soft Bridge Policies
May 9, 2026Ke He, Le He, Shunpu Tang +2Soft Actor-Critic Generative
Generalized Wasserstein Flow Matching: Transport Plans, Everywhere, All at Once
May 8, 2026Moritz Piening, Richard Duong, Gabriele SteidlVelocity Field Generative Models
Exploring and Exploiting Stability in Latent Flow Matching
May 8, 2026Rania Briq, Michael Kamp, Ohad Fried +2Generative Flow Networks Generative Models
Steering Without Breaking: Mechanistically Informed Interventions for Discrete Diffusion Language Models
May 8, 2026Hanhan Zhou, Shamik Roy, Rashmi GangadharaiahDiffusion Language Models Steering
Generative 3D Gaussians with Learned Density Control
May 8, 2026Runjie Yan, Yan-Pei Cao, Peng Wang +23D Gaussian Generative Models
MoCoTalk: Multi-Conditional Diffusion with Adaptive Router for Controllable Talking Head Generation
May 8, 2026Xinyan Ye, Jiankang Deng, Abbas EdalatFacial Animation Talk
STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation
May 8, 2026Ying Shen, Tianrong Chen, Yuan Gao +6Multimodal Generation Unified Multimodal Models
P-Flow: Proxy-gradient Flows for Linear Inverse Problems
May 8, 2026Zehua Jiang, Fenghao Zhu, Xinquan Wang +2Ill-Posed Inverse Problem Inverse Problem
Tool Calling is Linearly Readable and Steerable in Language Models
May 8, 2026Zekun Wu, Ze Wang, Seonglae Cho +4Call Multi-Turn Tool-Use Agent
It Just Takes Two: Scaling Amortized Inference to Large Sets
May 8, 2026Antoine Wehenkel, Michael Kagan, Lukas Heinrich +1Generative Models Neural Scaling Laws
TimeLesSeg: Unified Contrast-Agnostic Cross-Sectional and Longitudinal MS Lesion Segmentation via a Stochastic Generative Model
May 8, 2026Vicent Caselles-Ballester, Eloy Martínez-Heras, Giuseppe Pontillo +9Multiple Sclerosis Lesion Segmentation
What Matters for Diffusion-Friendly Latent Manifold? Prior-Aligned Autoencoders for Latent Diffusion
May 8, 2026Zhengrong Yue, Taihang Hu, Mengting Chen +8Latent Diffusion Model Masked Autoencoders
On the Tradeoffs of On-Device Generative Models in Federated Predictive Maintenance Systems
May 8, 2026Usevalad Milasheuski, Piero Baraldi, Enrico Zio +1Federated Learning Predictive Maintenance
Distributional simplicity bias and effective convexity in Energy Based Models
May 8, 2026Aurélien Decelle, Alfonso de Jesús Navas Gómez, Beatriz SeoaneFree-Energy Landscape Two-Dimensional Ising Model
APEX: Assumption-free Projection-based Embedding eXamination Metric for Image Quality Assessment
May 8, 2026Caterina Gallegati, Monica Bianchini, Franco Scarselli +2Image Quality Assessment Visual Embeddings
Radiologist-Guided Causal Concept Bottleneck Models for Chest X-Ray Interpretation
May 8, 2026Amy Rafferty, Rishi Ramaesh, Ajitha RajanChest X-Ray Class-Incremental Concept Bottleneck Model
Tracing Uncertainty in Language Model "Reasoning"
May 8, 2026Nils Grünefeld, Bertram Højer, Philipp Mondorf +5Large Language Model Uncertainty Large Language Model Reasoning
Curated Synthetic Data Doesn't Have to Collapse: A Theoretical Study of Generative Retraining with Pluralistic Preferences
May 8, 2026Ali Falahati, Mohammad Mohammadi Amiri, Kate Larson +1Synthetic Data Generative Models
Toward Better Geometric Representations for Molecule Generative Models
May 8, 2026Shaoheng Yan, Zian Li, Cai Zhou +3Molecular Generation Molecular Graphs
Inference Time Causal Probing in LLMs
May 8, 2026Sadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash +1Subspace Intervention Framework Causal Reasoning
Open-Ended Task Discovery via Bayesian Optimization
May 8, 2026Masaki Adachi, Yuta Suzuki, Juliusz ZiomekBayesian Optimization Bayesian
Tessellations of Semi-Discrete Flow Matching
May 8, 2026Emile Pierret, Johannes Hertrich, Samuel Hurault +1Conditional Flow Matching Optimal Transport
Excluding the Target Domain Improves Extrapolation: Deconfounded Hierarchical Physics Constraints
May 8, 2026Tsuyoshi OkitaExtrapolation Target Domain
Inference-Time Attribute Distribution Alignment for Unconditional Diffusion
May 8, 2026Hao Luan, See-Kiong Ng, Chun Kai LingGenerative Models
ST-Gen4D: Embedding 4D Spatiotemporal Cognition into World Model for 4D Generation
May 8, 2026Haonan Wang, Hanyu Zhou, Tao Gu +14D Generation Generative Models
Generative Modeling with Flux Matching
May 8, 2026Peter Pao-Huang, Xiaojie Qiu, Stefano ErmonGenerative Models Score-Based Diffusion Model

May 11, 2026 · cs.CRJ/K move · Enter open · S save

Benchmarking LLM-Based Static Analysis for Secure Smart Contract Development: Reliability, Limitations, and Potential Hybrid Solutions

Stefan-Claudiu Susan, Andrei Arusoaie, Dorel Lucanu

Department of Computer Science Alexandru Ioan Cuza University of Ias,i Ias,i, Romania

The irreversible nature of blockchain transactions makes the identification of smart contract vulnerabilities an essential requirement for secure system development. While Large Language Models (LLMs) are increasingly integrated into developer workflows, their reliability as autonomous security auditors remains unproven. We assess whether current generative models are a viable replacement for, or only a complement to, traditional static-analysis tools. Our findings indicate that LLM efficacy is undermined by both inherent lexical bias and a lack of rigorous validation of external data inputs. This reliance on non-semantic heuristics, such as identifier naming, leads to a high frequency of false positives. Furthermore, prompting techniques reveal a trade-off between precision and recall. These results were derived using our custom automated framework, which achieves 92% accuracy in classifying model outputs.

Smart Contracts Program Analysis Vulnerability Detection & Repair Algorithm Auditing Generative Models Heuristics

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