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Beyond Confidence: Stability-Aware Test-Time Adaptation for LLM Reasoning

简体中文

L1 neighborhood perturbation and stability penalty; no actual frozen LLM prefix loaded.

Paper information

Field Details
Paper Beyond Confidence: Stability-Aware Test-Time Adaptation for LLM Reasoning
Institution Chongqing University (first author).
First public release 2026-09-10 (arXiv v1)
Author code No public author repository found as of 2026-09-14.
Local adapter or method key tasco
Local reproduction code src/auto_research/post_training/latest_20260914.py

Paper method and evidence

Freeze the base model and optimize a lightweight prefix. Penalize instability under neighborhood perturbations as well as low confidence, to avoid confident but incorrect trajectories.

flowchart LR
  P[Candidate prefix] --> N[Random neighborhood perturbations]
  N --> S[Confidence and stability objective]
  S --> U[Prefix-only update]

Original paper figure

Beyond Confidence paper figure

Figure 3 shows the test-time adaptation process. From the original paper; copyright remains with the authors.

Core equation

The deterministic reference emits decisions and state statistics and tests mathematical invariants and boundaries.

Reported results

Paper results are author measurements, not fixture scores.

Local reproduction

Three-seed mechanism results are diagnostic_only=true. Fixed-budget fixtures verify the defining operator and auditable intermediate states; they are not a benchmark, production result, or capability-ranking entry. All candidates use the same public fixtures, budget, and seeds.