HARDEN: Constrained Evolutionary Search for Harder, Answer-Preserving Evaluation Cases

arXiv:2609.30571 · cs.AI · Submitted 2026-09-24 · Read on arXiv

cs.AI

Submitted: 2026-09-24

Updated: 2026-09-24

Code: https://github.com/czyssrs/FinQA

Project page: https://finqasite.github.io/about.html

Terminology

• Benchmark — 87× in this paper · explained in 2 episodes
• Accuracy — 34× in this paper · explained in 1 episode
• Grounding — 11× in this paper · explained in 3 episodes
• Calibration — 5× in this paper · explained in 7 episodes
• Provenance — 5× in this paper · explained in 4 episodes
• Aggregation — 3× in this paper · explained in 1 episode
• Text-to-SQL — 3× in this paper · explained in 3 episodes
• Adversarial Examples — 2× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Hallucination — 2× in this paper · explained in 3 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Adaptive Reasoning — 1× in this paper · explained in 2 episodes
• Adversarial Attacks — 1× in this paper · explained in 1 episode
• Adversarial Prompting — 1× in this paper · explained in 1 episode
• Adversarial Training — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Cross-Model Transfer — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Perplexity — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes

Sources

• Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
• Zero-Shot Question Answering over Financial Documents using Large Language Models

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