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LlavaMetaForCausalLM

Syntologyentry name in harvested coderead from the graph 2026-09-24

LlavaMetaForCausalLM appears in the code Syntology harvested for 16 papers, as 20 distinct code bodies found in 20 places (a place is one code body under one paper). At least one of them ran in 0 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named LlavaMetaForCausalLM do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 0 of the 20 distinct code bodies named LlavaMetaForCausalLM; 20 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
0ran
20unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 20 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

16 papers shown of 16, newest first; 20 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive, and the graph's for 3 papers added by Syntology; 1 papers have no page here and are shown by arXiv id only. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
FairLLaVA: Fairness-Aware Parameter-Efficient Fine-Tuning for Large Vision-Language Assistants added by Syntology 2026-03 (from id) bhosalems/FairLLaVA/llava/model/language_model/llava_llama.py d7d5e9bc6f9033f1 unverified licence not identified · pointer only
From Masks to Pixels and Meaning: A New Taxonomy, Benchmark, and Metrics for VLM Image Tampering added by Syntology 2026-03 (from id) VILA-Lab/PIXAR/model/PIXAR.py 8bf697b4b6b3997f unverified MIT (permissive)
Rethinking VLMs for Image Forgery Detection and Localization added by Syntology 2026-03 (from id) sha0fengGuo/IFDL-VLM/stage2/llava/model/language_model/llava_llama.py ec9a2680c81d44c8 unverified MIT (permissive)
AdCare-VLM: Leveraging Large Vision Language Model (LVLM) to Monitor Long-Term Medication Adherence and Care 1 May 2025 asad14053/AdCare-VLM/videollava/model/language_model/llava_llama.py 236fb9c779e786df unverified MIT (permissive)
GLUS: Global-Local Reasoning Unified into A Single Large Language Model for Video Segmentation 10 Apr 2025 GLUS-video/GLUS/model/GLUS.py 65e399d0eab7c33e unverified no licence file found · pointer only
PhysVLM: Enabling Visual Language Models to Understand Robotic Physical Reachability 11 Mar 2025 unira-zwj/PhysVLM/physvlm-main/physvlm/model/physvlm_arch.py 2471ebd61b1a1407 unverified no licence file found · pointer only
ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation 11 Jan 2025 thunlp/ChartCoder/llava/model/llava_arch.py 9fa96b93f7babf84 unverified no licence file found · pointer only
MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models 16 Oct 2024 richard-peng-xia/mmed-rag/train/dpo/llava/model/llava_arch.py b9978345e2dba578 unverified MIT (permissive)
LLaRA: Supercharging Robot Learning Data for Vision-Language Policy 28 Jun 2024 lostxine/llara/train-llava/llava/model/language_model/llava_llama.py 6106e117d2c9317b unverified Apache-2.0 (permissive)
STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical Question-Answering 28 Jun 2024 heliossun/STLLaVA-Med/llava/model/language_model/llava_llama.py 9392f432fde94da9 unverified MIT (permissive)
CoReS: Orchestrating the Dance of Reasoning and Segmentation 8 Apr 2024 baoxiaoyi/cores/model/CORES2seg2mask.py 24aa7ddc724a2e74 unverified no licence file found · pointer only
Facial Affective Behavior Analysis with Instruction Tuning 7 Apr 2024 JackYFL/EmoLA/emollava/model/emollava_arch.py e5f1f03f03a9563a unverified MIT (permissive)
Yi: Open Foundation Models by 01.AI 7 Mar 2024 01-ai/yi/VL/llava/model/llava_llama.py cb4478f3b5e0497f unverified Apache-2.0 (permissive)
Video-LLaVA: Learning United Visual Representation by Alignment Before Projection 16 Nov 2023 PKU-YuanGroup/LLMBind/model/llava/model/llava_arch.py 3d9df14425d0ebcf unverified Apache-2.0 (permissive)
Visual Instruction Tuning 17 Apr 2023 LLaVA-VL/LLaVA-NeXT/llava/model/llava_arch.py 39343c26374462af unverified Apache-2.0 (permissive)
Visual Instruction Tuning 17 Apr 2023 dinhvietcuong1996/icme25-inova/llava/model/language_model/llava_llama.py 31bedbeb8856618e unverified Apache-2.0 (permissive)
Visual Instruction Tuning 17 Apr 2023 ZhangYiqun018/StickerConv/sticker_process/llava/model/language_model/llava_llama.py abf7b5851a13bc76 unverified Apache-2.0 (permissive)
Visual Instruction Tuning 17 Apr 2023 haotian-liu/LLaVA/llava/model/language_model/llava_llama.py 8e3647258cae7507 unverified Apache-2.0 (permissive)
Visual Instruction Tuning 17 Apr 2023 tabtoyou/kollava/llava/model/language_model/llava_llama.py 2efb2d959762f4ed unverified Apache-2.0 (permissive)
arXiv:2025.emnlp-main.609 AuroraZengfh/ModalPrompt/llava/model/language_model/ModalPrompt.py a353ac5254bcb7b3 unverified no licence file found · pointer only

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

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