AI
Efficient Self-Evaluation for Diffusion Language Models via Sequence Regeneration
Researchers have proposed a method called DiSE for self-evaluation of diffusion language models. DiS...
AI
Efficient Exploration at Scale
Researchers have developed an online learning algorithm that significantly improves the data efficie...
AI
InverFill: One-Step Inversion for Enhanced Few-Step Diffusion Inpainting
Researchers propose InverFill, a one-step inversion method for image inpainting that injects semanti...
AI
DF3DV-1K: A Large-Scale Dataset and Benchmark for Distractor-Free Novel View Synthesis
Researchers have created a large-scale dataset called DF3DV-1K to help improve the development of 'd...
AI
ChemGraph-XANES: An Agentic Framework for XANES Simulation and Curation
Researchers have developed ChemGraph-XANES, a framework for simulating and curat...
AI
Complete Cyclic Subtask Graphs for Tool-Using LLM Agents: Flexibility, Cost, and Bottlenecks in Long-Horizon Workflows
Researchers have proposed using complete cyclic subtask graphs to improve the pe...
AI
RefusalGuard: Geometry-Preserving Fine-Tuning for Safety in LLMs
Researchers have found that fine-tuning language models for specific tasks can c...
AI
Preference-Based Self-Distillation: Beyond KL Matching via Reward Regularization
Researchers have proposed a new method for on-policy distillation called Prefere...