LLaDA 2.2 uses L-EBPO to cut error propagation in long agent runs
omarsar0 · x · 2026-07-26
The post explains how LLaDA 2.2 tries to avoid long-horizon collapse during RL.
- Its RL stage builds on the same block-level editing mechanism used earlier in training.
- L-EBPO extends block-level policy optimization with editing operations, teaching the model when to cut a defective span and when to fill a gap from environment feedback.
- The claim is that this interrupts trajectory-level error propagation, which is a structural fix for collapse in long agent runs.
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