Alternatives and similar repositories for PCGU-UnlearningBias:

Users that are interested in PCGU-UnlearningBias are comparing it to the libraries listed below

• joeljang / knowledge-unlearning
  [ACL 2023] Knowledge Unlearning for Mitigating Privacy Risks in Language Models
  ☆81Updated 7 months ago
• SALT-NLP / Efficient_Unlearning
  ☆38Updated last year
• swj0419 / muse_bench
  ☆21Updated last month
• snw2021 / LLM_Unlearning_Papers
  ☆27Updated last year
• javiferran / sae_entities
  ☆29Updated 2 months ago
• licong-lin / negative-preference-optimization
  ☆58Updated 9 months ago
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆72Updated 2 months ago
• CaoYuanpu / BiPO
  Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization
  ☆22Updated 9 months ago
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆58Updated 7 months ago
• skywalker023 / confaide
  🤫 Code and benchmark for our ICLR 2024 spotlight paper: "Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Con…
  ☆42Updated last year
• dannyallover / overthinking_the_truth
  ☆29Updated last year
• i-gallegos / Fair-LLM-Benchmark
  ☆131Updated last year
• jinzhuoran / RWKU
  RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024
  ☆73Updated 7 months ago
• SALT-NLP / chain-of-thought-bias
  ☆26Updated 7 months ago
• flamewei123 / DEPN
  ☆23Updated last year
• princeton-nlp / benign-data-breaks-safety
  ☆36Updated 7 months ago
• franciscoliu / SKU
  Official code implementation of SKU, Accepted by ACL 2024 Findings
  ☆14Updated 4 months ago
• ykwon0407 / DataInf
  DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)
  ☆64Updated 7 months ago
• balevinstein / Probes
  ☆50Updated last year
• vinid / safety-tuned-llamas
  ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.
  ☆82Updated last year
• yihuaihong / ConceptVectors
  ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"
  ☆35Updated 2 months ago
• IBM / activation-steering
  General-purpose activation steering library
  ☆66Updated this week
• sail-sg / closer-look-LLM-unlearning
  [ICLR 2025] A Closer Look at Machine Unlearning for Large Language Models
  ☆26Updated 5 months ago
• genglinliu / UnknownBench
  Repo for paper: Examining LLMs' Uncertainty Expression Towards Questions Outside Parametric Knowledge
  ☆13Updated last year
• boyiwei / alignment-attribution-code
  [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
  ☆76Updated last month
• git-disl / Safety-Tax
  This is the official code for the paper "Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable".
  ☆16Updated 2 months ago
• Vaidehi99 / InfoDeletionAttacks
  ☆42Updated 3 months ago
• eric-mitchell / serac
  Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model
  ☆68Updated 2 years ago
• jaechan-repo / muse_bench
  ☆23Updated 9 months ago
• Yangyi-Chen / PaperList-Trustworthy-Applications
  Mostly recording papers about models' trustworthy applications. Intending to include topics like model evaluation & analysis, security, c…
  ☆21Updated last year