When Should LLMs Trust Their Own Revisions? A Risk-Aware Study of Intrinsic Self-Correction

arXiv:2609.35832 · cs.CL, cs.AI · Submitted 2026-09-23 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-09-23

Updated: 2026-09-23

Terminology

Accuracy — 48× in this paper · explained in 1 episode
Trace — 15× in this paper · explained in 2 episodes
Benchmark — 9× in this paper · explained in 2 episodes
Verifier — 9× in this paper · explained in 2 episodes
Verification — 8× in this paper · explained in 2 episodes
Provenance — 6× in this paper · explained in 4 episodes
Reinforcement Learning — 4× in this paper · explained in 4 episodes
Consistency — 3× in this paper · explained in 3 episodes
Hallucination — 3× in this paper · explained in 3 episodes
Ablation — 1× in this paper · explained in 1 episode
Actor — 1× in this paper · explained in 3 episodes
Adam — 1× in this paper · explained in 2 episodes
Calibration — 1× in this paper · explained in 7 episodes
Causal Inference — 1× in this paper · explained in 4 episodes
Frozen model — 1× in this paper · explained in 3 episodes
Hallucination Detection — 1× in this paper · explained in 2 episodes
Iterative Refinement — 1× in this paper · explained in 3 episodes
Reasoning Traces — 1× in this paper · explained in 3 episodes
Transformer — 1× in this paper · explained in 2 episodes

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