{"total":85,"rows":[{"id":"2304.06767","title":"RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment","created":"2023-04-13","cited_by_count":686,"area":"lr"},{"id":"2505.05470","title":"Flow-GRPO: Training Flow Matching Models via Online RL","created":"2025-05-08","cited_by_count":661,"area":"lr"},{"id":"2310.19785","title":"What's \"up\" with vision-language models? Investigating their struggle with spatial reasoning","created":"2023-10-30","cited_by_count":254,"area":"lr"},{"id":"2403.11401","title":"Scene-LLM: Extending Language Model for 3D Visual Understanding and Reasoning","created":"2024-03-18","cited_by_count":175,"area":"lr"},{"id":"2304.13731","title":"Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model","created":"2023-04-24","cited_by_count":145,"area":"lr"},{"id":"2501.13926","title":"Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step","created":"2025-01-23","cited_by_count":131,"area":"lr"},{"id":"2503.10639","title":"GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing","created":"2025-03-13","cited_by_count":104,"area":"lr"},{"id":"2508.04324","title":"TempFlow-GRPO: When Timing Matters for GRPO in Flow Models","created":"2025-08-06","cited_by_count":97,"area":"lr"},{"id":"2504.07128","title":"DeepSeek-R1 Thoughtology: Let's think about LLM Reasoning","created":"2025-04-02","cited_by_count":92,"area":"lr"},{"id":"2309.04669","title":"Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization","created":"2023-09-09","cited_by_count":87,"area":"lr"},{"id":"2304.11116","title":"Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT","created":"2023-04-10","cited_by_count":80,"area":"lr"},{"id":"2305.18583","title":"Controllable Text-to-Image Generation with GPT-4","created":"2023-05-29","cited_by_count":59,"area":"lr"},{"id":"2508.05606","title":"Uni-cot: Towards Unified Chain-of-Thought Reasoning Across Text and Vision","created":"2025-08-07","cited_by_count":56,"area":"lr"},{"id":"2505.17022","title":"GoT-R1: Unleashing Reasoning Capability of MLLM for Visual Generation with Reinforcement Learning","created":"2025-05-22","cited_by_count":52,"area":"lr"},{"id":"2312.04483","title":"Hierarchical Spatio-temporal Decoupling for Text-to-Video Generation","created":"2023-12-07","cited_by_count":50,"area":"lr"},{"id":"2509.18905","title":"How Far are VLMs from Visual Spatial Intelligence? A Benchmark-Driven Perspective","created":"2025-09-23","cited_by_count":43,"area":"lr"},{"id":"2503.19312","title":"ImageGen-CoT: Enhancing Text-to-Image In-context Learning with Chain-of-Thought Reasoning","created":"2025-03-25","cited_by_count":37,"area":"lr"},{"id":"2410.16162","title":"Sparkle: Mastering Basic Spatial Capabilities in Vision Language Models Elicits Generalization to Spatial Reasoning","created":"2024-10-21","cited_by_count":34,"area":"lr"},{"id":"2407.16837","title":"MLLM-CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs","created":"2024-07-23","cited_by_count":32,"area":"lr"},{"id":"2311.03964","title":"Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining","created":"2023-11-07","cited_by_count":25,"area":"lr"},{"id":"2504.00010","title":"LayerCraft: Enhancing Text-to-Image Generation with CoT Reasoning and Layered Object Integration","created":"2025-03-25","cited_by_count":19,"area":"lr"},{"id":"2512.24165","title":"DiffThinker: Towards Generative Multimodal Reasoning with Diffusion Models","created":"2025-12-30","cited_by_count":19,"area":"lr"},{"id":"2511.16671","title":"Thinking-while-Generating: Interleaving Textual Reasoning throughout Visual Generation","created":"2025-11-20","cited_by_count":18,"area":"lr"},{"id":"2507.13255","title":"Automating Steering for Safe Multimodal Large Language Models","created":"2025-07-17","cited_by_count":17,"area":"lr"},{"id":"2311.17126","title":"Reason out Your Layout: Evoking the Layout Master from Large Language Models for Text-to-Image Synthesis","created":"2023-11-28","cited_by_count":16,"area":"lr"},{"id":"2406.11288","title":"MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models","created":"2024-06-17","cited_by_count":15,"area":"lr"},{"id":"2507.18537","title":"TTS-VAR: A Test-Time Scaling Framework for Visual Auto-Regressive Generation","created":"2025-07-24","cited_by_count":15,"area":"lr"},{"id":"2503.01298","title":"Towards Enhanced Image Generation Via Multi-modal Chain of Thought in Unified Generative Models","created":"2025-03-03","cited_by_count":14,"area":"lr"},{"id":"2510.13418","title":"Reinforcement Learning Meets Masked Generative Models: Mask-GRPO for Text-to-Image Generation","created":"2025-10-15","cited_by_count":14,"area":"lr"},{"id":"2402.16631","title":"GenAINet: Enabling Wireless Collective Intelligence via Knowledge Transfer and Reasoning","created":"2024-02-26","cited_by_count":13,"area":"lr"},{"id":"2505.14197","title":"Towards Omnidirectional Reasoning with 360-R1: A Dataset, Benchmark, and GRPO-based Method","created":"2025-05-20","cited_by_count":13,"area":"lr"},{"id":"2303.16187","title":"Visual Chain-of-Thought Diffusion Models","created":"2023-03-28","cited_by_count":12,"area":"lr"},{"id":"2408.12009","title":"CaRDiff: Video Salient Object Ranking Chain of Thought Reasoning for Saliency Prediction with Diffusion","created":"2024-08-21","cited_by_count":12,"area":"lr"},{"id":"2501.03265","title":"Cognitive Edge Computing: A Comprehensive Survey on Optimizing Large Models and AI Agents for Pervasive Deployment","created":"2025-01-04","cited_by_count":10,"area":"lr"},{"id":"2510.20206","title":"RAPO++: Cross-Stage Prompt Optimization for Text-to-Video Generation via Data Alignment and Test-Time Scaling","created":"2025-10-23","cited_by_count":10,"area":"lr"},{"id":"2312.07132","title":"Image Content Generation with Causal Reasoning","created":"2023-12-12","cited_by_count":9,"area":"lr"},{"id":"2506.07045","title":"Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs","created":"2025-06-08","cited_by_count":9,"area":"lr"},{"id":"2507.01908","title":"Reasoning to Edit: Hypothetical Instruction-Based Image Editing with Visual Reasoning","created":"2025-07-02","cited_by_count":9,"area":"lr"},{"id":"2304.02251","title":"ERRA: An Embodied Representation and Reasoning Architecture for Long-horizon Language-conditioned Manipulation Tasks","created":"2023-04-05","cited_by_count":8,"area":"lr"},{"id":"2508.04524","title":"RAIDX: A Retrieval-Augmented Generation and GRPO Reinforcement Learning Framework for Explainable Deepfake Detection","created":"2025-08-06","cited_by_count":8,"area":"lr"},{"id":"2508.05954","title":"Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents","created":"2025-08-08","cited_by_count":8,"area":"lr"},{"id":"2405.17201","title":"Diagnosing the Compositional Knowledge of Vision Language Models from a Game-Theoretic View","created":"2024-05-27","cited_by_count":7,"area":"lr"},{"id":"2602.12405","title":"Self-Refining Vision Language Model for Robotic Failure Detection and Reasoning","created":"2026-02-12","cited_by_count":7,"area":"lr"},{"id":"2407.17911","title":"ReCorD: Reasoning and Correcting Diffusion for HOI Generation","created":"2024-07-25","cited_by_count":6,"area":"lr"},{"id":"2409.09721","title":"Finetuning CLIP to Reason about Pairwise Differences","created":"2024-09-15","cited_by_count":6,"area":"lr"},{"id":"2505.22407","title":"Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation","created":"2025-05-28","cited_by_count":6,"area":"lr"},{"id":"2512.20362","title":"CRAFT: Continuous Reasoning and Agentic Feedback Tuning for Multimodal Text-to-Image Generation","created":"2025-12-23","cited_by_count":6,"area":"lr"},{"id":"2512.22288","title":"Co-GRPO: Co-Optimized Group Relative Policy Optimization for Masked Diffusion Model","created":"2025-12-25","cited_by_count":6,"area":"lr"},{"id":"2603.17998","title":"The Unreasonable Effectiveness of Text Embedding Interpolation for Continuous Image Steering","created":"2026-03-18","cited_by_count":6,"area":"lr"},{"id":"2511.18919","title":"Learning What to Trust: Bayesian Prior-Guided Optimization for Visual Generation","created":"2025-11-24","cited_by_count":5,"area":"lr"},{"id":"2211.11650","title":"Neural Meta-Symbolic Reasoning and Learning","created":"2022-11-21","cited_by_count":4,"area":"lr"},{"id":"2401.11035","title":"Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually","created":"2024-01-19","cited_by_count":4,"area":"lr"},{"id":"2408.01942","title":"Visual Grounding for Object-Level Generalization in Reinforcement Learning","created":"2024-08-04","cited_by_count":4,"area":"lr"},{"id":"2601.04577","title":"Sci-Reasoning: A Dataset Decoding AI Innovation Patterns","created":"2026-01-08","cited_by_count":4,"area":"lr"},{"id":"2211.07727","title":"Logical Tasks for Measuring Extrapolation and Rule Comprehension","created":"2022-11-14","cited_by_count":3,"area":"lr"},{"id":"2308.15887","title":"On the Potential of CLIP for Compositional Logical Reasoning","created":"2023-08-30","cited_by_count":3,"area":"lr"},{"id":"2309.06680","title":"STUPD: A Synthetic Dataset for Spatial and Temporal Relation Reasoning","created":"2023-09-13","cited_by_count":3,"area":"lr"},{"id":"2504.20054","title":"Marmot: Object-Level Self-Correction via Multi-Agent Reasoning","created":"2025-04-10","cited_by_count":3,"area":"lr"},{"id":"2604.05497","title":"Thinking Diffusion: Penalize and Guide Visual-Grounded Reasoning in Diffusion Multimodal Language Models","created":"2026-04-07","cited_by_count":3,"area":"lr"},{"id":"2310.17451","title":"Generating by Understanding: Neural Visual Generation with Logical Symbol Groundings","created":"2023-10-26","cited_by_count":2,"area":"lr"},{"id":"2509.17458","title":"CARINOX: Inference-time Scaling with Category-Aware Reward-based Initial Noise Optimization and Exploration","created":"2025-09-22","cited_by_count":2,"area":"lr"},{"id":"2510.16540","title":"Enhancing Compositional Reasoning in CLIP via Reconstruction and Alignment of Text Descriptions","created":"2025-10-18","cited_by_count":2,"area":"lr"},{"id":"2306.01144","title":"Evaluating the Capabilities of Multi-modal Reasoning Models with Synthetic Task Data","created":"2023-06-01","cited_by_count":1,"area":"lr"},{"id":"2310.09383","title":"Integrating Symbolic Reasoning into Neural Generative Models for Design Generation","created":"2023-10-13","cited_by_count":1,"area":"lr"},{"id":"2403.06400","title":"DivCon: Divide and Conquer for Complex Numerical and Spatial Reasoning in Text-to-Image Generation","created":"2024-03-11","cited_by_count":1,"area":"lr"},{"id":"2410.13018","title":"Learning Representations for Reasoning: Generalizing Across Diverse Structures","created":"2024-10-16","cited_by_count":1,"area":"lr"},{"id":"2410.13666","title":"VL-GLUE: A Suite of Fundamental yet Challenging Visuo-Linguistic Reasoning Tasks","created":"2024-10-17","cited_by_count":1,"area":"lr"},{"id":"2510.24133","title":"Compositional Image Synthesis with Inference-Time Scaling","created":"2025-10-28","cited_by_count":1,"area":"lr"},{"id":"2601.21081","title":"Shape of Thought: Progressive Object Assembly via Visual Chain-of-Thought","created":"2026-01-28","cited_by_count":1,"area":"lr"},{"id":"2603.13884","title":"SCoCCA: Multi-modal Sparse Concept Decomposition via Canonical Correlation Analysis","created":"2026-03-14","cited_by_count":1,"area":"lr"},{"id":"2603.27693","title":"LVRPO: Language-Visual Alignment with GRPO for Multimodal Understanding and Generation","created":"2026-03-29","cited_by_count":1,"area":"lr"},{"id":"2608.19794","title":"Towards general embodied intelligence: integrating large language models, knowledge bases, and reasoning capabilities to build the next generation of AI agents","created":"2026-08-20","cited_by_count":1,"area":"lr"},{"id":"2311.05421","title":"Diffusion Based Causal Representation Learning","created":"2023-11-09","cited_by_count":0,"area":"lr"},{"id":"2408.00521","title":"A new approach for encoding code and assisting code understanding","created":"2024-08-01","cited_by_count":0,"area":"lr"},{"id":"2507.01544","title":"MARVIS: Modality Adaptive Reasoning over VISualizations","created":"2025-07-02","cited_by_count":0,"area":"lr"},{"id":"2508.03088","title":"ADSeeker: A Knowledge-Grounded Reasoning Framework for Industry Anomaly Detection and Reasoning","created":"2025-08-05","cited_by_count":0,"area":"lr"},{"id":"2511.05553","title":"EVLP:Learning Unified Embodied Vision-Language Planner with Reinforced Supervised Fine-Tuning","created":"2025-11-03","cited_by_count":0,"area":"lr"},{"id":"2601.14053","title":"LLMOrbit: A Circular Taxonomy of Large Language Models -From Scaling Walls to Agentic AI Systems","created":"2026-01-20","cited_by_count":0,"area":"lr"},{"id":"2602.01554","title":"InfoTok: Information-Theoretic Regularization for Capacity-Constrained Shared Visual Tokenization in Unified MLLMs","created":"2026-02-02","cited_by_count":0,"area":"lr"},{"id":"2602.03665","title":"MM-SCALE: Grounded Multimodal Moral Reasoning via Scalar Judgment and Listwise Alignment","created":"2026-02-03","cited_by_count":0,"area":"lr"},{"id":"2603.09266","title":"ForgeDreamer: Industrial Text-to-3D Generation with Multi-Expert LoRA and Cross-View Hypergraph","created":"2026-03-10","cited_by_count":0,"area":"lr"},{"id":"2603.22641","title":"Q-Tacit: Image Quality Assessment via Latent Visual Reasoning","created":"2026-03-23","cited_by_count":0,"area":"lr"},{"id":"2608.05260","title":"A Paragraph is Worth a Thousand Captions: Rethinking Text Supervision for Vision-Language Retrieval","created":"2026-08-05","cited_by_count":0,"area":"lr"},{"id":"2608.15163","title":"From \"What-If\" to \"What-Is\": Counterfactual Thinking-Inspired Semantic Alignment for Visual Brain Decoding","created":"2026-08-15","cited_by_count":0,"area":"lr"},{"id":"2609.07815","title":"VoT: Vision-of-Thought for Unified Multimodal Representation Alignment","created":"2026-09-07","cited_by_count":0,"area":"lr"}],"next_cursor":null}