Alternatives and similar repositories for AdaMoLE

Users that are interested in AdaMoLE are comparing it to the libraries listed below

• gyhdog99 / MoCLE
  MoCLE (First MLLM with MoE for instruction customization and generalization!) (https://arxiv.org/abs/2312.12379)
  ☆41Updated 2 weeks ago
• luka-group / mDPO
  [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.
  ☆76Updated 8 months ago
• zjunlp / Deco
  [ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation
  ☆89Updated 7 months ago
• JiuTian-VL / MoME
  [NeurIPS 2024] MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models
  ☆68Updated 2 months ago
• shiqichen17 / VLM_Merging
  Github repository for "Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging" (ICML 2025)
  ☆63Updated last month
• 1zhou-Wang / MemVR
  [ICML 2025] Official implementation of paper 'Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in…
  ☆141Updated last week
• iboing / CorDA
  CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for task-aware parameter-efficient fine-tuning(NeurIPS 2024)
  ☆46Updated 6 months ago
• thunlp / DeepPerception
  DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding
  ☆64Updated last month
• PLUM-Lab / MixLoRA
  Multimodal Instruction Tuning with Conditional Mixture of LoRA (ACL 2024)
  ☆28Updated 11 months ago
• RayRuiboChen / Self-Filter
  ☆24Updated this week
• NUS-TRAIL / NoisyRollout
  NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation
  ☆78Updated last month
• yaolinli / DeCo
  Code for DeCo: Decoupling token compression from semanchc abstraction in multimodal large language models
  ☆40Updated this week
• bronyayang / HallE_Control
  HallE-Control: Controlling Object Hallucination in LMMs
  ☆31Updated last year
• YiyangZhou / POVID
  [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
  ☆86Updated last year
• opendatalab / HA-DPO
  Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization
  ☆89Updated last year
• wutaiqiang / MoSLoRA
  ☆108Updated last year
• LightChen233 / M3CoT
  ☆76Updated last year
• yuezih / less-is-more
  Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)
  ☆52Updated 8 months ago
• yfzhang114 / LLaVA-Align
  This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding strat…
  ☆78Updated 4 months ago
• Clin0212 / HydraLoRA
  [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
  ☆216Updated 7 months ago
• OpenSparseLLMs / CLIP-MoE
  CLIP-MoE: Mixture of Experts for CLIP
  ☆42Updated 9 months ago
• ShiZhengyan / DePT
  [ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"
  ☆95Updated last year
• IntelLabs / lvlm-interpret
  ☆90Updated 3 months ago
• YiyangZhou / CSR
  [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models
  ☆76Updated last year
• findalexli / mllm-dpo
  [ACL 2024] Multi-modal preference alignment remedies regression of visual instruction tuning on language model
  ☆46Updated 8 months ago
• nickjiang2378 / vl-interp
  Official Pytorch implementation of "Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations" (ICLR '25)
  ☆75Updated last month
• Dongping-Chen / MLLM-Judge
  [ICML 2024 Oral] Official code repository for MLLM-as-a-Judge.
  ☆75Updated 5 months ago
• Kevinz-code / SeVa
  [MM2024, oral] "Self-Supervised Visual Preference Alignment" https://arxiv.org/abs/2404.10501
  ☆56Updated 11 months ago
• harveyhuang18 / EMR_Merging
  [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging
  ☆59Updated 4 months ago
• DavidFanzz / SCMoE
  ☆26Updated last year