PACT: Pairwise-Anchored Calibrated Tuning for Single-Token Typed Decisions

arXiv:2609.35865 · cs.CL, cs.AI, cs.CV, cs.GT · Submitted 2026-09-26 · Read on arXiv

cs.CL, cs.AI, cs.CV, cs.GT

Submitted: 2026-09-26

Updated: 2026-09-26

Code: https://github.com/BennyLinntu/PACTPairwise-Anchored-Calibrated-Tuning-for-SingleToken-Typed-Decisions

Terminology

• Accuracy — 64× in this paper · explained in 1 episode
• Calibration — 28× in this paper · explained in 7 episodes
• Ablation — 11× in this paper · explained in 1 episode
• Consistency — 6× in this paper · explained in 3 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Robustness — 3× in this paper · explained in 5 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Parameter-Efficient Fine-Tuning — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Language Models (Mostly) Know What They Know
• Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks
• A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA

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