Author

Zining Huang

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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

#machine learning Preprint Aug 2026

VBVR-Pro: A Scalable and Verifiable Suite for Native Visual Reasoning

This work introduces VBVR-Pro, a closed-loop testbed that makes native visual reasoning through generation trainable, verifiable, optimizable, and experimentally controllable, and identifies recurring failure modes of the prevalent VLM-as-a-judge paradigm.

Junhua Xu, Ruisi Wang, Fanyi Pu et al. · 1 citation