https://github.com/wendongbi/MMGNN
공식 코드MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution
Papers with Code 아카이브
Multimodal Reasoning
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Reasoning over multimodal inputs.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/wskbest/mfc-bench
공식 코드MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models
https://github.com/wwzhuang01/math-puma
공식 코드Math-PUMA: Progressive Upward Multimodal Alignment to Enhance Mathematical Reasoning
https://github.com/xiaomimimo/mimo-vl
공식 코드https://github.com/xinyusun/mme
공식 코드Masked Motion Encoding for Self-Supervised Video Representation Learning
https://github.com/yangjie-cv/wethink
공식 코드WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning
https://github.com/yangyue5114/DME
공식 코드Dynamic Multimodal Evaluation with Flexible Complexity by Vision-Language Bootstrapping
https://github.com/yaolinli/TimeChat-Online
공식 코드TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos
https://github.com/yhy-2000/videodeepresearch
공식 코드VideoDeepResearch: Long Video Understanding With Agentic Tool Using
https://github.com/yihedeng9/openvlthinker
공식 코드https://github.com/ylwhxht/l4dr
공식 코드L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object Detection
https://github.com/yueyang1996/wikihow-vgsi
공식 코드https://github.com/yunfeixie233/vigal
공식 코드https://github.com/zhaochen0110/awesome_think_with_images
공식 코드Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers
https://github.com/zhitao-he/mmboundary
공식 코드https://github.com/zjunlp/MKG_Analogy
공식 코드https://github.com/zoeyyao27/graph-of-thought
공식 코드Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Language Models
https://github.com/zycheiheihei/transferable-visual-prompting
공식 코드Exploring the Transferability of Visual Prompting for Multimodal Large Language Models
https://github.com/ByteDance-Seed/Bagel
https://github.com/DianCh/AdaContrast
https://github.com/JunweiLiang/DualAttentionNetwork
Dual Attention Networks for Multimodal Reasoning and Matching
https://github.com/MS-P3/code3/tree/main/internlm
https://github.com/MindSpore-scientific-2/code-14/tree/main/internlm
https://github.com/OanaMariaCamburu/e-SNLI
e-SNLI-VE: Corrected Visual-Textual Entailment with Natural Language Explanations
https://github.com/PhysGame/PhysGame
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
https://github.com/PrasannaPulakurthi/SPM
https://github.com/VTOOL-R1/vtool-r1
VTool-R1: VLMs Learn to Think with Images via Reinforcement Learning on Multimodal Tool Use
https://github.com/VisionLearningGroup/SSDA_MME
https://github.com/WebQnA/WebQA_Baseline
https://github.com/XinyuSun/M3Video
Masked Motion Encoding for Self-Supervised Video Representation Learning
https://github.com/audiollms/audiobench
MuChoMusic: Evaluating Music Understanding in Multimodal Audio-Language Models
https://github.com/cooldawnant/infochartqa
ChartGalaxy: A Dataset for Infographic Chart Understanding and Generation
https://github.com/declare-lab/MM-InstructEval
MM-BigBench: Evaluating Multimodal Models on Multimodal Content Comprehension Tasks
https://github.com/evolvinglmms-lab/lmms-eval
MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs
https://github.com/fudandisc/reform-eval
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
https://github.com/hamedR96/User-VLM
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.