Alternatives and similar repositories for ADEPT

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

• dannyallover / overthinking_the_truth
  ☆29Updated last year
• joeljang / knowledge-unlearning
  [ACL 2023] Knowledge Unlearning for Mitigating Privacy Risks in Language Models
  ☆86Updated last year
• princeton-nlp / benign-data-breaks-safety
  ☆44Updated last year
• ykwon0407 / DataInf
  DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)
  ☆79Updated last year
• zepingyu0512 / neuron-attribution
  code for EMNLP 2024 paper: Neuron-Level Knowledge Attribution in Large Language Models
  ☆50Updated last year
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆85Updated 11 months ago
• SALT-NLP / Efficient_Unlearning
  ☆37Updated 2 years ago
• deeplearning-wisc / picle
  Official code for ICML 2024 paper on Persona In-Context Learning (PICLe)
  ☆26Updated last year
• swj0419 / muse_bench
  ☆33Updated 10 months ago
• abhishekpanigrahi1996 / Skill-Localization-by-grafting
  ☆52Updated 2 years ago
• fc2869 / lo-fit
  LoFiT: Localized Fine-tuning on LLM Representations
  ☆44Updated last year
• CharlesYu2000 / PCGU-UnlearningBias
  ☆17Updated 2 years ago
• AIM-Intelligence / RepBend
  Code for Representation Bending Paper
  ☆16Updated 6 months ago
• lorenzkuhn / semantic_uncertainty
  ☆184Updated last year
• jinzhuoran / RWKU
  RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024
  ☆89Updated last year
• yuzhaouoe / SAE-based-representation-engineering
  [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
  ☆72Updated 3 weeks ago
• SALT-NLP / chain-of-thought-bias
  ☆28Updated last year
• deeplearning-wisc / args
  ☆46Updated 2 years ago
• eric-mitchell / serac
  Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model
  ☆71Updated 3 years ago
• CaoYuanpu / BiPO
  Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization
  ☆41Updated last year
• javiferran / sae_entities
  ☆69Updated 11 months ago
• launchnlp / LitCab
  ☆25Updated 8 months ago
• jinhaoduan / SAR
  [ACL 2024] Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
  ☆60Updated last year
• milesaturpin / cot-unfaithfulness
  ☆51Updated 2 years ago
• licong-lin / negative-preference-optimization
  ☆72Updated last year
• fywalter / label-bias
  A codebase for ACL 2023 paper: Mitigating Label Biases for In-context Learning
  ☆10Updated 2 years ago
• launchnlp / BOLT
  Code for ACL 2023 paper "BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases".
  ☆22Updated 2 years ago
• boyiwei / alignment-attribution-code
  [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
  ☆89Updated 10 months ago
• weixuan-wang123 / SADI
  ☆16Updated 5 months ago
• hkust-nlp / PEM_composition
  [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"
  ☆61Updated 2 years ago