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AudioCaps Benchmark (Retrieval-augmented Few-shot In-context Audio Captioning)
Retrieval-augmented few-shot in-context audio captioning is a specialized approach within the broader domain of audio captioning. This technique leverages the principles of few-shot in-context learning, akin to those used in LLMs, to generate textual descriptions for audio content without training on the dataset. Instead, during inference, the model utilizes a few-shot retrieval method where a few selected examples from the training data are presented in-context. This allows the model to generate accurate and contextually relevant captions based on limited input.
The archive carries no text for this table; the description above is the archive's text for the task Retrieval-augmented Few-shot In-context Audio Captioning. archive 2025-07-28
Over time archive 2025-07-28
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Not inferred: CIDEr. Points are placed at the row's paper date; 5 of 5 rows carry one.
Results archive 2025-07-28
Archive rows end at the archive snapshot, 2025-07-28: no result published after that date is in this table. Rank is the archive's row order at that snapshot; not re-ranked here. Metric values are the archive's strings. Column headers sort the table in your browser; each row keeps its archive rank.
| Paper | Code | Ran Syntology | Report | |||||
|---|---|---|---|---|---|---|---|---|
| 1 | Audio Flamingo (4-shot) | 0.518 | ✓ | Paper | Code | 2024 | 3 of 3 ran · 0 unverified | report |
| 2 | RECAP (4-shot) | 0.359 | – | Paper | Code | 2023 | 5 of 8 ran · 3 unverified | report |
| 3 | Prefix tuning for automated audio captioning | 0.211 | – | Paper | Code | 2023 | linked, not harvested | report |
| 4 | Audio captioning transformer | 0.149 | – | Paper | Code | 2021 | linked, not harvested | report |
| 5 | Automated audio captioning by fine-tuning bart with audioset tags | 0.147 | – | Paper | Code | 2021 | linked, not harvested | report |
All 5 rows shown. 5 link to a paper page on this site; 1 are marked as using additional training data in the archive. No GitHub stars are tracked; "Code" is the first repository the archive lists for the row. The archive carries no row tags, review links or community-submitted rows for this table; none are shown. archive 2025-07-28
Syntology Ran reads "N of M ran · U unverified": of the M code samples Syntology harvested from repositories linked to that row's paper (joined by arXiv id), N executed on a synthesized input and the other U = M−N are unverified (harvested, no recorded run). It counts code from repositories linked to that row's paper, not this result: the row's number was not reproduced and nothing here is a correctness claim. The other cell texts mean no graph line for the row: "linked, not harvested" (the archive links code, Syntology has not harvested it), "no code linked" (no code link in the archive), "not matched" (the row's paper URL matched no paper on this site). 2 rows have a graph line, from 2 distinct papers; 2 rows (2 papers) have at least one sample that ran. Counting each paper once: Syntology ran 8 of 11 samples; 3 unverified. Separately, 11 of those 11 are pointer-only (licence): the site points at that code rather than redistributing it, a licence property recorded for ran and unverified samples alike; each cell's tooltip carries the row's own pointer-only count. Read from the graph 2026-09-24. Per-sample status is on the paper page.
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