Papers needing PDFs
The website has a detail page for every listed publication. The following seven full PDFs could not be downloaded on 2026-09-20. Please provide the PDFs using the suggested filenames; figures and original abstracts can then be added to the existing pages.
| Suggested filename | Paper | Link | Material still needed |
|---|---|---|---|
031.pdf |
Assessing Domain Generalization of Semantic Segmenters with Synthetic Data | Source | Full PDF, original abstract, and two figures with captions. |
078.pdf |
mSOP-765k - A Benchmark For Multi-Modal Structured Output Predictions | Source | Full PDF and at least one additional figure; abstract and one project illustration are available. |
085.pdf |
Fréchet Inception Distance is Failing to Preserve Rank Consistency for Synthetic Out-of-Distribution Samples | Source | Full PDF, original abstract, and two figures with captions. |
089.pdf |
Parameterized Adverse Lens Corruptions to Probe Model Robustness to Optical Tolerances | Source | Full PDF, original abstract, and two figures with captions. An indexed abstract excerpt was found, but not a verified complete abstract. |
095.pdf |
We need theory-grounded explainability for abstract tasks to quantify model bias | Source | Full PDF, original abstract, and two figures with captions. |
096.pdf |
Combining Finetuning and RAG for Structured Output Prediction on a Multimodal High Velocity Retail Dataset | Source | Full PDF, original abstract, and two figures with captions. |
097.pdf |
Unsupervised Visual Concept Bottlenecks for Interpretable Bioimage Classification | Source | Full PDF, original abstract, and two figures with captions. |
The 2023 domain-generalization entry links to a workshop homepage rather than a paper. Most other downloads returned HTTP 403. A public landing page or search excerpt alone was not counted as access to the full PDF.
Shared preprints
The workshop entries “Robust Models are less Over-Confident” (ICML 2022) and “Data-Efficient Visual Concept Bottleneck Models” (CVPR 2025 workshop) currently use the linked public preprints also used by their later full-conference entries. Separate workshop PDFs are welcome if their abstract or figures differ.
Filling the gaps
Each page is stored in _publications/. Add the verified abstract, abstract_source, and two or three figures entries, then set content_status: complete. Put optimized figure images in images/publications/details/ and record their source pages and crop coordinates in _data/publication-review.yaml.