visual instruction following

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

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

14 shown of 14 papers with code (24 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.

• BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
  30 Jan 2023 17 repositories listed Syntology ran 4 of 8 samples · 4 unverified · 1 pointer-only (licence)
  The cost of vision-and-language pre-training has become increasingly prohibitive due to end-to-end training of large-scale models.
• Visual Instruction Tuning
  17 Apr 2023 13 repositories listed Syntology ran 16 of 51 samples · 35 unverified
  Instruction tuning large language models (LLMs) using machine-generated instruction-following data has improved zero-shot capabilities on new tasks, but the idea is less explored in the multimodal field.
• Improved Baselines with Visual Instruction Tuning
  5 Oct 2023 9 repositories listed Syntology ran 6 of 9 samples · 3 unverified · 8 pointer-only (licence)
  Large multimodal models (LMM) have recently shown encouraging progress with visual instruction tuning.
• InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning
  11 May 2023 4 repositories listed
  Large-scale pre-training and instruction tuning have been successful at creating general-purpose language models with broad competence.
• Inst-IT: Boosting Multimodal Instance Understanding via Explicit Visual Prompt Instruction Tuning
  4 Dec 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Building upon this pipeline, we proposed Inst-IT, a solution to enhance LMMs in Instance understanding via explicit visual prompt Instruction Tuning.
• MpoxVLM: A Vision-Language Model for Diagnosing Skin Lesions from Mpox Virus Infection
  16 Nov 2024 1 repository listed
  In the aftermath of the COVID-19 pandemic and amid accelerating climate change, emerging infectious diseases, particularly those arising from zoonotic spillover, remain a global threat.
• GeoGround: A Unified Large Vision-Language Model for Remote Sensing Visual Grounding
  16 Nov 2024 1 repository listed
  Remote sensing (RS) visual grounding aims to use natural language expression to locate specific objects (in the form of the bounding box or segmentation mask) in RS images, enhancing human interaction with intelligent…
• MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding
  6 Jul 2024 1 repository listed Syntology ran 11 of 16 samples · 5 unverified · 16 pointer-only (licence)
  The results highlight the high difficulty of these tasks and the significant performance gap among models.
• MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning
  13 Jun 2024 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  It is observed that the minor matrix corresponds to the noisy or long-tail information, while the principal matrix contains important knowledge.
• CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts
  9 May 2024 1 repository listed Syntology ran 10 of 12 samples · 2 unverified
  Recent advancements in Multimodal Large Language Models (LLMs) have focused primarily on scaling by increasing text-image pair data and enhancing LLMs to improve performance on multimodal tasks.
• Chain-of-Spot: Interactive Reasoning Improves Large Vision-Language Models
  19 Mar 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  In the realm of vision-language understanding, the proficiency of models in interpreting and reasoning over visual content has become a cornerstone for numerous applications.
• Text as Images: Can Multimodal Large Language Models Follow Printed Instructions in Pixels?
  29 Nov 2023 1 repository listed Syntology ran 5 of 7 samples · 2 unverified
  Recent multimodal large language models (MLLMs) have shown promising instruction following capabilities on vision-language tasks.
• ShareGPT4V: Improving Large Multi-Modal Models with Better Captions
  21 Nov 2023 1 repository listed
  In the realm of large multi-modal models (LMMs), efficient modality alignment is crucial yet often constrained by the scarcity of high-quality image-text data.
• Instruction Clarification Requests in Multimodal Collaborative Dialogue Games: Tasks, and an Analysis of the CoDraw Dataset
  28 Feb 2023 1 repository listed
  In visual instruction-following dialogue games, players can engage in repair mechanisms in face of an ambiguous or underspecified instruction that cannot be fully mapped to actions in the world.

Syntology lines on 9 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.