Couples a continuous latent diffusion trajectory with discrete token readouts so tokens are read from the latent at every step and fed back as a scaffold, reducing token-independence in parallel decoding and improving structured-task accuracy and LM perplexity.
AI Agent Papers2026
Constructs and continually maintains explicit belief states for long-horizon LLM agents, combining a structured world estimate with unresolved epistemic and achievement gaps. Adds consistency validation, Belief Trapping detection, and tailored recovery to improve execution and diagnosis benchmarks.