qhjqhj00 brace-hallucination-eval
BRACE: A Benchmark for Robust Audio Caption Quality Evaluation — Guo et al. (2025) (arXiv:2512.10403, 2025)
What this evaluates
Probes models' robustness in detecting subtle hallucinations in audio captions, specifically those introduced via LLM-driven noun substitution. It measures the ability to identify semantically flawed or factually incorrect descriptions against audio ground truth.
Datasets
- BRACE-Hallucination — total ?; splits: test (-1); repo https://github.com/HychTus/BRACE_Evaluation
Metrics
F1-score(primary) — range: [0, 1]- Harmonic mean of precision and recall for identifying hallucinated captions or selecting the non-hallucinated caption in a pair.
Input / output format
Input: Audio clip paired with caption pairs where one may contain subtle hallucinations (e.g., substituted nouns) or a single caption for hallucination detection.
Output: Model outputs a preference choice, hallucination flag, or quality score.
Scoring recipe
def compute_f1(predictions, gold):
tp = sum(1 for p, g in zip(predictions, gold) if p == 1 and g == 1)
fp = sum(1 for p, g in zip(predictions, gold) if p == 1 and g == 0)
fn = sum(1 for p, g in zip(predictions, gold) if p == 0 and g == 1)
precision = tp / (tp + fp) if (tp + fp) > 0 else 0
recall = tp / (tp + fn) if (tp + fn) > 0 else 0
return 2 * precision * recall / (precision + recall) if (precision + recall) > 0 else 0
Common pitfalls
- CLAP models overlook fine-grained acoustic details and syntactic errors, leading to inflated similarity scores for flawed captions.
- LALMs exhibit strong position bias and poor instruction following under complex prompts, often outputting invalid responses like 'none'.
Evidence (verbatim from paper)
On BRACE-Hallucination, the top-performing model M2D-CLAP reaches an F1-score of 88.26, though performance still varies significantly across models.
Citation
@misc{guo2025brace,
title={BRACE: A Benchmark for Robust Audio Caption Quality Evaluation},
author={Guo et al. (2025)},
year={2025},
note={arXiv:2512.10403}
}
- arXiv: 2512.10403