Lingtai: What Concept Geometry Reveals--and Does Not Reveal--About LLM Inference

arXiv:2610.00656 · cs.CL · Submitted 2026-09-30 · Read on arXiv

cs.CL

Submitted: 2026-09-30

Updated: 2026-09-30

Terminology

• AUROC — 15× in this paper · explained in 2 episodes
• Alignment — 12× in this paper · explained in 1 episode
• Decode — 6× in this paper · explained in 2 episodes
• Hallucination — 6× in this paper · explained in 3 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Fidelity — 3× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Calibration — 2× in this paper · explained in 7 episodes
• Empirical Methods in Natural Language Processing — 2× in this paper
• Hallucination Detection — 2× in this paper · explained in 2 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Verifier — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Fingerprinting — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Linear probe — 1× in this paper · explained in 2 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Representation Engineering — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Sparse Autoencoders (SAEs) — 1× in this paper · explained in 3 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Uncertainty Quantification — 1× in this paper · explained in 8 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Program Synthesis with Large Language Models
• Evaluating Large Language Models Trained on Code
• Training Verifiers to Solve Math Word Problems
• Qwen2.5-Coder Technical Report
• Language Models (Mostly) Know What They Know
• Representation Engineering: A Top-Down Approach to AI Transparency

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