Talking to Yourself, but Make It Useful: Intrinsic Self‑Critique in LLM Planning
Opening — Why this matters now For years, the received wisdom in AI planning was blunt: language models can’t really plan. Early benchmarks—especially Blocksworld—made that verdict look almost charitable. Models hallucinated invalid actions, violated preconditions, and confidently declared failure states as success. The field responded by bolting on external verifiers, symbolic planners, or human-in-the-loop corrections. ...