Alternatives and similar repositories for Skill-Neuron

Users that are interested in Skill-Neuron are comparing it to the libraries listed below

• hbin0701 / Self-Explore
  [𝐄𝐌𝐍𝐋𝐏 𝐅𝐢𝐧𝐝𝐢𝐧𝐠𝐬 𝟐𝟎𝟐𝟒 & 𝐀𝐂𝐋 𝟐𝟎𝟐𝟒 𝐍𝐋𝐑𝐒𝐄 𝐎𝐫𝐚𝐥] 𝘌𝘯𝘩𝘢𝘯𝘤𝘪𝘯𝘨 𝘔𝘢𝘵𝘩𝘦𝘮𝘢𝘵𝘪𝘤𝘢𝘭 𝘙𝘦𝘢𝘴𝘰𝘯𝘪𝘯…
  ☆52Updated last year
• qiuzh20 / EMoE
  Official PyTorch Implementation of EMoE: Unlocking Emergent Modularity in Large Language Models [main conference @ NAACL2024]
  ☆34Updated last year
• princeton-nlp / Edge-Pruning
  [NeurIPS 2024 Spotlight] Code and data for the paper "Finding Transformer Circuits with Edge Pruning".
  ☆60Updated last month
• ericwtodd / function_vectors
  Function Vectors in Large Language Models (ICLR 2024)
  ☆179Updated 5 months ago
• r-three / smear
  ☆30Updated last year
• idanshen / Value-Augmented-Sampling
  ☆21Updated last year
• sail-sg / dice
  Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
  ☆43Updated 5 months ago
• tianyi-lab / Mosaic-IT
  [ACL'25] Mosaic-IT: Cost-Free Compositional Data Synthesis for Instruction Tuning
  ☆20Updated 3 months ago
• activatedgeek / calibration-tuning
  ☆52Updated 5 months ago
• SihengLi99 / LLM-Honesty-Survey
  [2025-TMLR] A Survey on the Honesty of Large Language Models
  ☆59Updated 9 months ago
• eric-mitchell / serac
  Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model
  ☆68Updated 2 years ago
• xlang-ai / icl-selective-annotation
  [ICLR 2023] Code for our paper "Selective Annotation Makes Language Models Better Few-Shot Learners"
  ☆111Updated 2 years ago
• allenai / hyper-task-descriptions
  Learning adapter weights from task descriptions
  ☆19Updated last year
• RUCAIBox / RLMEC
  The official repository of "Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint"
  ☆38Updated last year
• dannyallover / overthinking_the_truth
  ☆29Updated last year
• tatsu-lab / test_set_contamination
  ☆38Updated last year
• alisawuffles / proxy-tuning
  Code associated with Tuning Language Models by Proxy (Liu et al., 2024)
  ☆118Updated last year
• maszhongming / ParaKnowTransfer
  Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"
  ☆33Updated last year
• deeplearning-wisc / args
  ☆44Updated last year
• roeehendel / icl_task_vectors
  ☆97Updated last year
• hkust-nlp / PEM_composition
  [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"
  ☆61Updated last year
• ShiZhengyan / DePT
  [ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"
  ☆96Updated last year
• Shwai-He / MEO
  The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":
  ☆38Updated last year
• ChaosCodes / ProPETL
  One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning
  ☆40Updated 2 years ago
• joeljang / RLPHF
  Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging
  ☆108Updated last year
• haotiansun14 / BBox-Adapter
  Lightweight Adapting for Black-Box Large Language Models
  ☆23Updated last year
• JasonForJoy / Model-Editing-Hurt
  EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
  ☆36Updated 3 months ago
• facebookresearch / RLCD
  Reproduction of "RLCD Reinforcement Learning from Contrast Distillation for Language Model Alignment
  ☆69Updated 2 years 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…
  ☆55Updated 2 years ago
• PKU-ML / LongPPL
  Code for ICLR 2025 Paper "What is Wrong with Perplexity for Long-context Language Modeling?"
  ☆100Updated 2 months ago