1 Image, 2*2 Stitchi

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

12 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

3 shown of 3 papers with code (6 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models
  28 Sep 2023 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  Recent advancements in autonomous driving have relied on data-driven approaches, which are widely adopted but face challenges including dataset bias, overfitting, and uninterpretability.
• ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities
  18 May 2023 2 repositories listed Syntology ran 2 of 7 samples · 5 unverified
  In this work, we explore a scalable way for building a general representation model toward unlimited modalities.
• DeMo: Decoupled Momentum Optimization
  29 Nov 2024 1 repository listed
  Training large neural networks typically requires sharing gradients between accelerators through specialized high-speed interconnects.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.