Author

Haoran Que

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Preprint Aug 2026

Harness-IF: Evaluating Instruction Following Across Instruction Surfaces in Coding Agents

This work introduces Harness-IF, which scores operational rules one at a time from execution evidence: 60 realistic multi-turn coding items drawn from a 642-rule library, 256 rules receiving verdicts, placed on the five configurable surfaces a deployed agent reads.

Zining Huang, Haoran Que, Hongxia Zeng et al. · 1 citation

#natural language process... Preprint Aug 2026

REER-PT: Reverse-Engineered Reasoning for Perplexity-Guided Pre-training Data Augmentation

Together, the perplexity analysis indicates improved continuation predictability, while the controlled pre-training experiments suggest that this augmentation can improve model performance without changing the standard pre-training objective.

Haoran Que, Jia-Jun Shi, Ting Huang et al. · 0 citations