Does This Action Still Explain the Task? Reverse Scoring for Diffusion Language Model Agents
cs.LG, cs.AI
Submitted: 2026-09-29
Updated: 2026-09-29
Sources
- The Curious Case of Neural Text Degeneration
- On Almost Surely Safe Alignment of Large Language Models at Inference-Time
- Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening
- Diffusion-LM Improves Controllable Text Generation
- LangForce: Bayesian Decomposition of Vision Language Action Models via Latent Action Queries
- Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
- The Bitter Lesson of Diffusion Language Models for Agentic Workflows: A Comprehensive Reality Check
- The Model Knows, the Decoder Finds: Future Value Guided Particle Power Sampling
- The Flexibility Trap: Rethinking the Value of Arbitrary Order in Diffusion Language Models
- Large Language Diffusion Models
- Improved Large Language Diffusion Models
- Reflexion: Language Agents with Verbal Reinforcement Learning
- ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
- Self-Consistency Improves Chain of Thought Reasoning in Language Models
- Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding
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