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
  ☆83Updated last year
• SALT-NLP / Efficient_Unlearning
  ☆38Updated 2 years ago
• swj0419 / muse_bench
  ☆28Updated 7 months ago
• i-gallegos / Fair-LLM-Benchmark
  ☆154Updated 2 years ago
• EmpathYang / ADEPT
  Source code and data for ADEPT: A DEbiasing PrompT Framework (AAAI-23).
  ☆15Updated 10 months ago
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆82Updated 7 months ago
• chrisliu298 / awesome-representation-engineering
  A resource repository for representation engineering in large language models
  ☆138Updated 11 months ago
• javiferran / sae_entities
  ☆63Updated 7 months ago
• git-disl / Safety-Tax
  This is the official code for the paper "Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable".
  ☆26Updated 7 months ago
• boyiwei / alignment-attribution-code
  [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
  ☆85Updated 6 months ago
• snw2021 / LLM_Unlearning_Papers
  ☆26Updated last year
• ykwon0407 / DataInf
  DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)
  ☆76Updated last year
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆60Updated last year
• licong-lin / negative-preference-optimization
  ☆66Updated last year
• jinzhuoran / RWKU
  RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024
  ☆83Updated last year
• balevinstein / Probes
  ☆56Updated 2 years ago
• kevinyaobytedance / llm_unlearn
  LLM Unlearning
  ☆176Updated 2 years ago
• centerforaisafety / tdc2023-starter-kit
  This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.
  ☆89Updated last year
• vinid / safety-tuned-llamas
  ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.
  ☆87Updated last year
• CaoYuanpu / BiPO
  Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization
  ☆33Updated last year
• yihuaihong / ConceptVectors
  [EMNLP 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"
  ☆35Updated 2 months ago
• princeton-nlp / benign-data-breaks-safety
  ☆41Updated last year
• jthickstun / watermark
  Code for watermarking language models
  ☆82Updated last year
• IBM / activation-steering
  [ICLR 2025] General-purpose activation steering library
  ☆111Updated last month
• AIM-Intelligence / RepBend
  Code for Representation Bending Paper
  ☆12Updated 3 months ago
• paul-rottger / xstest
  Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"
  ☆116Updated 8 months ago
• SALT-NLP / chain-of-thought-bias
  ☆28Updated last year
• UCSB-NLP-Chang / causal_unlearn
  [EMNLP 2024] "Revisiting Who's Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective"
  ☆31Updated last year
• yizhongw / truthfulqa_reeval
  ☆11Updated last year
• princeton-nlp / corpus-poisoning
  [EMNLP 2023] Poisoning Retrieval Corpora by Injecting Adversarial Passages https://arxiv.org/abs/2310.19156
  ☆40Updated last year