Alternatives and similar repositories for Contrastive_AutoEval

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

• pengr / IKD-MMT
  Our code for EMNLP'22 Oral paper "Distill the Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine Translation".
  ☆30Updated 2 years ago
• Clin0212 / HydraLoRA
  [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
  ☆233Updated last year
• yyy01 / PAC
  The official implementation of the paper "Data Contamination Calibration for Black-box LLMs" (ACL 2024)
  ☆15Updated last year
• jxhe / unify-parameter-efficient-tuning
  Implementation of paper "Towards a Unified View of Parameter-Efficient Transfer Learning" (ICLR 2022)
  ☆543Updated 3 years ago
• zhangyikaii / LAMDA-ZhiJian
  ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse
  ☆49Updated 2 years ago
• aHuiWang / plot_demo
  论文里可以用到的实验图示例
  ☆296Updated 2 years ago
• jianghaojun / Awesome-Parameter-Efficient-Transfer-Learning
  A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.
  ☆411Updated last year
• EnnengYang / Awesome-Model-Merging-Methods-Theories-Applications
  Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing Surveys, 2025.
  ☆667Updated this week
• NOVAglow646 / OOD-Generalization-Paper-Reading-Notes
  OOD Generalization相关文章的阅读笔记
  ☆35Updated last year
• llong-cs / LaGAM
  Code for CVPR 2024 paper: Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation
  ☆21Updated last year
• thunlp / DeltaPapers
  Must-read Papers of Parameter-Efficient Tuning (Delta Tuning) Methods on Pre-trained Models.
  ☆286Updated 2 years ago
• tmllab / 2023_ICLR_Moderate-DS
  ☆31Updated 2 years ago
• liushunyu / awesome-direct-preference-optimization
  A Survey of Direct Preference Optimization (DPO)
  ☆91Updated 7 months ago
• codecaution / Awesome-Mixture-of-Experts-Papers
  A curated reading list of research in Mixture-of-Experts(MoE).
  ☆659Updated last year
• MLNLP-World / SimBiber
  MLNLP社区用来帮助缩短参考文献的工具。A tool for simplifying bibtex with official info
  ☆466Updated 3 weeks ago
• XueFuzhao / awesome-mixture-of-experts
  A collection of AWESOME things about mixture-of-experts
  ☆1,259Updated last year
• NUS-HPC-AI-Lab / InfoBatch
  Lossless Training Speed Up by Unbiased Dynamic Data Pruning
  ☆343Updated last year
• Outsider565 / LoRA-GA
  ☆218Updated 2 months ago
• Imbalance-VLM / Imbalance-VLM
  ☆118Updated 2 years ago
• EnnengYang / Awesome-Forgetting-in-Deep-Learning
  A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.
  ☆349Updated 2 weeks ago
• NOVAglow646 / LLM-MLLM-paper-list
  关于LLM和Multimodal LLM的paper list
  ☆56Updated 3 weeks ago
• zepingyu0512 / awesome-llm-understanding-mechanism
  awesome papers in LLM interpretability
  ☆609Updated 5 months ago
• godweiyang / GrabGPU
  一款便捷的抢占显卡脚本
  ☆393Updated last month
• cmnfriend / O-LoRA
  ☆196Updated last year
• QingruZhang / AdaLoRA
  AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning (ICLR 2023).
  ☆366Updated 2 years ago
• NUS-HPC-AI-Lab / DATM
  ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
  ☆105Updated last year
• Wang-ML-Lab / llm-continual-learning-survey
  [CSUR 2025] Continual Learning of Large Language Models: A Comprehensive Survey
  ☆511Updated last month
• Ablustrund / LoRAMoE
  LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment
  ☆400Updated last year
• wangxiao5791509 / MultiModal_BigModels_Survey
  [MIR-2023-Survey] A continuously updated paper list for multi-modal pre-trained big models
  ☆290Updated 6 months ago
• dongguanting / In-Context-Learning_PaperList
  Paper List for In-context Learning 🌷
  ☆189Updated last year