Alternatives and similar repositories for vl-merging

Users that are interested in vl-merging are comparing it to the libraries listed below

• BaohaoLiao / mefts
  [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
  ☆31Updated 2 years ago
• maszhongming / ParaKnowTransfer
  Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"
  ☆32Updated last year
• shizhediao / DaVinci
  Source code for the paper "Prefix Language Models are Unified Modal Learners"
  ☆43Updated 2 years ago
• ctlllll / reward_collapse
  ☆27Updated 2 years ago
• Leezekun / MMSci
  MMSci: A Multimodal Multi-Discipline Dataset for PhD-Level Scientific Comprehension
  ☆45Updated 8 months ago
• yegcjs / DiffusionLLM
  Code for paper "Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning"
  ☆83Updated last year
• gregorbachmann / Next-Token-Failures
  ☆90Updated last year
• janphilippfranken / sami
  Self-Supervised Alignment with Mutual Information
  ☆21Updated last year
• Pranjal2041 / AdaptiveConsistency
  Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning with LLMs
  ☆39Updated last year
• psunlpgroup / VisOnlyQA
  This repository contains the code and data for the paper "VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception o…
  ☆25Updated last month
• kamanphoebe / Look-into-MoEs
  [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models
  ☆54Updated 6 months ago
• HKUNLP / efficient-attention
  [EVA ICLR'23; LARA ICML'22] Efficient attention mechanisms via control variates, random features, and importance sampling
  ☆86Updated 2 years ago
• allenai / easy-to-hard-generalization
  Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"
  ☆48Updated last year
• LCM-Lab / Bridge_Gap_Diffusion
  ☆34Updated last year
• wzq016 / PINE
  Offcial Repo of Paper "Eliminating Position Bias of Language Models: A Mechanistic Approach""
  ☆15Updated 2 months ago
• VITA-Group / Random-MoE-as-Dropout
  [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…
  ☆54Updated 2 years ago
• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆47Updated 5 months ago
• dqxiu / KAssess
  ☆14Updated last year
• jihoontack / MAC
  Online Adaptation of Language Models with a Memory of Amortized Contexts (NeurIPS 2024)
  ☆65Updated last year
• sail-sg / scaling-with-vocab
  [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623
  ☆86Updated 10 months ago
• lqtrung1998 / mwp_cot_design
  ☆13Updated last year
• locuslab / T-MARS
  Code for T-MARS data filtering
  ☆35Updated 2 years ago
• Victorwz / VaLM
  VaLM: Visually-augmented Language Modeling. ICLR 2023.
  ☆56Updated 2 years ago
• princeton-nlp / PTP
  Improving Language Understanding from Screenshots. Paper: https://arxiv.org/abs/2402.14073
  ☆29Updated last year
• YuxiXie / SelfEval-Guided-Decoding
  ☆100Updated last year
• locuslab / scaling_laws_data_filtering
  ☆65Updated last year
• microsoft / SparseMixer
  Sparse Backpropagation for Mixture-of-Expert Training
  ☆30Updated last year
• luka-group / vlm-knowledge-conflict
  Code for paper "Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models."
  ☆42Updated 10 months ago
• RLHFlow / Directional-Preference-Alignment
  Directional Preference Alignment
  ☆59Updated 11 months ago
• Wang-ML-Lab / multimodal-needle-in-a-haystack
  [NAACL 2025 Oral] Multimodal Needle in a Haystack (MMNeedle): Benchmarking Long-Context Capability of Multimodal Large Language Models
  ☆48Updated 3 months ago