The Imperfective Paradox Is Not Necessarily in Large Language Models: A Benchmark Failure Before a Model Failure

arXiv:2608.25005 · cs.CL, cs.LG · Submitted 2026-08-25 · Read on arXiv

cs.CL, cs.LG

Submitted: 2026-08-25

Updated: 2026-08-25

Terminology

• Benchmark — 48× in this paper · explained in 2 episodes
• Accuracy — 16× in this paper · explained in 1 episode
• Verification — 8× in this paper · explained in 2 episodes
• Ablation — 7× in this paper · explained in 1 episode
• Calibration — 6× in this paper · explained in 7 episodes
• Alignment — 5× in this paper · explained in 1 episode
• Trace — 5× in this paper · explained in 2 episodes
• Failure Modes — 4× in this paper · explained in 3 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Empirical Methods in Natural Language Processing — 3× in this paper
• Chain-of-Thought Prompting — 2× in this paper · explained in 2 episodes
• Compositional Generalization — 2× in this paper · explained in 4 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Quantization — 2× in this paper · explained in 12 episodes
• Reasoning Traces — 2× in this paper · explained in 3 episodes
• Semantic Understanding — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• AUC — 1× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Alternation — 1× in this paper · explained in 1 episode
• Few-Shot Learning — 1× in this paper · explained in 4 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Meta-learning — 1× in this paper · explained in 2 episodes
• Validity-Screened Subset — 1× in this paper

Sources

• Lifting the Curse of Multilinguality by Pre-training Modular Transformers
• Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
• mT5: A massively multilingual pre-trained text-to-text transformer

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