ComfyUI-R1: Exploring Reasoning Models for Workflow Generation
Paper
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2506.09790
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Published
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53
Applications and Uses
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Saffron-1: Towards an Inference Scaling Paradigm for LLM Safety Assurance
Paper • 2506.06444 • Published • 73 -
DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents
Paper • 2506.11763 • Published • 73 -
Agentic Reasoning: Reasoning LLMs with Tools for the Deep Research
Paper • 2502.04644 • Published • 4 -
Deep Research Agents: A Systematic Examination And Roadmap
Paper • 2506.18096 • Published • 3 -
Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers
Paper • 2507.02694 • Published • 19 -
Disambiguation-Centric Finetuning Makes Enterprise Tool-Calling LLMs More Realistic and Less Risky
Paper • 2507.03336 • Published • 6 -
PresentAgent: Multimodal Agent for Presentation Video Generation
Paper • 2507.04036 • Published • 10 -
Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs
Paper • 2507.09477 • Published • 86 -
AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research
Paper • 2507.13300 • Published • 19 -
Voost: A Unified and Scalable Diffusion Transformer for Bidirectional Virtual Try-On and Try-Off
Paper • 2508.04825 • Published • 58 -
Complex Logical Instruction Generation
Paper • 2508.09125 • Published • 40 -
Neither Valid nor Reliable? Investigating the Use of LLMs as Judges
Paper • 2508.18076 • Published • 6 -
UQ: Assessing Language Models on Unsolved Questions
Paper • 2508.17580 • Published • 15 -
A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers
Paper • 2508.21148 • Published • 140 -
AutoIntent: AutoML for Text Classification
Paper • 2509.21138 • Published • 36 -
StockBench: Can LLM Agents Trade Stocks Profitably In Real-world Markets?
Paper • 2510.02209 • Published • 53 -
DITING: A Multi-Agent Evaluation Framework for Benchmarking Web Novel Translation
Paper • 2510.09116 • Published • 96 -
Back to Basics: Let Denoising Generative Models Denoise
Paper • 2511.13720 • Published • 67 -
Rethinking Training Dynamics in Scale-wise Autoregressive Generation
Paper • 2512.06421 • Published • 5