Alternatives and similar repositories for TLM

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

• zackschen / CoIN
  Instruction Tuning in Continual Learning paradigm
  ☆71Updated 11 months ago
• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆100Updated last year
• The-Martyr / CausalMM
  [ICLR 2025] Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality
  ☆60Updated 6 months ago
• linghan1997 / Regression-based-Analytic-Incremental-Learning
  ☆32Updated 11 months ago
• yfzhang114 / LLaVA-Align
  [ACM Multimedia 2025] This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual…
  ☆82Updated 11 months ago
• WuYichen-97 / SD-Lora-CL
  [ICLR 2025 Oral🔥] SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning
  ☆75Updated 7 months ago
• 1zhou-Wang / MemVR
  [ICML 2025] Official implementation of paper 'Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in…
  ☆185Updated 4 months ago
• harveyhuang18 / EMR_Merging
  [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging
  ☆76Updated 10 months ago
• Pbihao / SLM
  ☆28Updated last year
• mr-eggplant / FOA
  Code for ICML 2024 paper (Oral) — Test-Time Model Adaptation with Only Forward Passes
  ☆92Updated last year
• mengcaopku / Continual-LLaVA
  ☆16Updated last year
• simplelifetime / TIVE
  Less is More: High-value Data Selection for Visual Instruction Tuning
  ☆17Updated last year
• iboing / CorDA
  CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for task-aware parameter-efficient fine-tuning(NeurIPS 2024)
  ☆53Updated last year
• scale-lab / MTLoRA
  The official implementation for MTLoRA: A Low-Rank Adaptation Approach for Efficient Multi-Task Learning (CVPR '24)
  ☆69Updated 6 months ago
• zjunlp / Deco
  [ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation
  ☆132Updated 4 months ago
• zhangce01 / DPE-CLIP
  [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models
  ☆45Updated 10 months ago
• mrflogs / ICLR24
  Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"
  ☆85Updated last year
• LucyDYu / Awesome-Multimodal-Continual-Learning
  ☆150Updated last year
• OpenSparseLLMs / CLIP-MoE
  CLIP-MoE: Mixture of Experts for CLIP
  ☆55Updated last year
• Thunderbeee / ZSCL
  Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
  ☆106Updated last year
• wx-zhang / spu
  ☆15Updated last year
• GeWu-Lab / MokA
  MokA: Multimodal Low-Rank Adaptation for MLLMs
  ☆73Updated last month
• tmllab / 2023_ICLR_Moderate-DS
  ☆30Updated 2 years ago
• clemneo / llava-interp
  ☆79Updated last year
• gyhdog99 / MoCLE
  MoCLE (First MLLM with MoE for instruction customization and generalization!) (https://arxiv.org/abs/2312.12379)
  ☆45Updated 6 months ago
• Aboriginer / ZS-NTTA
  [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"
  ☆17Updated 11 months ago
• tmlr-group / NegLabel
  [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"
  ☆21Updated last year
• naver-ai / dap-cl
  Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"
  ☆43Updated 2 years ago
• YueYANG1996 / LaBo
  CVPR 2023: Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification
  ☆105Updated last year
• Ruiyang-061X / VL-Uncertainty
  🔎Official code for our paper: "VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation".
  ☆47Updated 10 months ago