Alternatives and similar repositories for BPT-VLM

Users that are interested in BPT-VLM are comparing it to the libraries listed below

• princeton-pli / what-makes-good-rm
  [NeurIPS 2025] What Makes a Reward Model a Good Teacher? An Optimization Perspective
  ☆41Updated 3 months ago
• EnnengYang / RepresentationSurgery
  Representation Surgery for Multi-Task Model Merging. ICML, 2024.
  ☆47Updated last year
• nik-dim / tall_masks
  Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]
  ☆51Updated last year
• harveyhuang18 / EMR_Merging
  [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging
  ☆74Updated 9 months ago
• tanganke / weight-ensembling_MoE
  Code for paper "Merging Multi-Task Models via Weight-Ensembling Mixture of Experts"
  ☆30Updated last year
• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆97Updated last year
• huanranchen / Visualize-Loss-Landscape
  Respect to the input tensor instead of paramters of NN
  ☆21Updated 3 years ago
• keven980716 / weak-to-strong-deception
  [ICLR 2025] Code&Data for the paper "Super(ficial)-alignment: Strong Models May Deceive Weak Models in Weak-to-Strong Generalization"
  ☆13Updated last year
• Jiacheng-Zhu-AIML / AsymmetryLoRA
  Preprint: Asymmetry in Low-Rank Adapters of Foundation Models
  ☆37Updated last year
• tmlr-group / NoisyRationales
  [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"
  ☆37Updated 5 months ago
• ycjing / Awesome-Model-Merging
  A curated list of Model Merging methods.
  ☆94Updated 2 weeks ago
• which47 / LLMCL
  Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning
  ☆36Updated last year
• sail-sg / D-TRAK
  Intriguing Properties of Data Attribution on Diffusion Models (ICLR 2024)
  ☆35Updated last year
• Jiachen-T-Wang / GREATS
  ☆18Updated 8 months ago
• Model-GLUE / Model-GLUE
  ☆18Updated last year
• bethgelab / sober-reasoning
  A Sober Look at Language Model Reasoning
  ☆89Updated last month
• sail-sg / Cheating-LLM-Benchmarks
  [ICLR 2025] Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates (Oral)
  ☆85Updated last year
• YefanZhou / TempBalance
  [NeurIPS 2023 Spotlight] Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training
  ☆36Updated 8 months ago
• osehmathias / lisa
  LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
  ☆36Updated last year
• Jayfeather1024 / Backdoor-Enhanced-Alignment
  ☆24Updated last year
• gzcch / Bingo
  ☆55Updated last year
• vfleaking / PTST
  Code for safety test in "Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates"
  ☆21Updated 3 months ago
• ZhentingWang / DUMP
  ☆34Updated 7 months ago
• VITA-Group / Junk_DNA_Hypothesis
  [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…
  ☆16Updated 8 months ago
• holarissun / RewardModelingBeyondBradleyTerry
  official implementation of ICLR'2025 paper: Rethinking Bradley-Terry Models in Preference-based Reward Modeling: Foundations, Theory, and…
  ☆70Updated 8 months ago
• ZHZisZZ / emulated-disalignment
  [ACL'24, Outstanding Paper] Emulated Disalignment: Safety Alignment for Large Language Models May Backfire!
  ☆38Updated last year
• tanganke / peta
  Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"
  ☆24Updated last year
• OPTML-Group / DP4TL
  [NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*,…
  ☆14Updated 2 years ago
• mjy1111 / PEAK
  The repository for our paper: Neighboring Perturbations of Knowledge Editing on Large Language Models
  ☆16Updated last year
• tmlr-group / G-effect
  [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"
  ☆14Updated 9 months ago