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
  ☆86Updated last year
• SALT-NLP / Efficient_Unlearning
  ☆38Updated 2 years ago
• swj0419 / muse_bench
  ☆31Updated 9 months ago
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆85Updated 9 months ago
• licong-lin / negative-preference-optimization
  ☆69Updated last year
• i-gallegos / Fair-LLM-Benchmark
  ☆156Updated 2 years ago
• ykwon0407 / DataInf
  DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)
  ☆79Updated last year
• EmpathYang / ADEPT
  Source code and data for ADEPT: A DEbiasing PrompT Framework (AAAI-23).
  ☆15Updated last year
• jinzhuoran / RWKU
  RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024
  ☆86Updated last year
• javiferran / sae_entities
  ☆65Updated 9 months ago
• kevinyaobytedance / llm_unlearn
  LLM Unlearning
  ☆178Updated 2 years ago
• UCSB-NLP-Chang / causal_unlearn
  [EMNLP 2024] "Revisiting Who's Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective"
  ☆32Updated last year
• AIM-Intelligence / RepBend
  Code for Representation Bending Paper
  ☆14Updated 5 months ago
• jthickstun / watermark
  Code for watermarking language models
  ☆84Updated last year
• CaoYuanpu / BiPO
  Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization
  ☆39Updated last year
• paul-rottger / xstest
  Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"
  ☆117Updated 10 months ago
• balevinstein / Probes
  ☆57Updated 2 years ago
• jaechan-repo / muse_bench
  ☆30Updated last year
• vinid / safety-tuned-llamas
  ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.
  ☆90Updated last year
• boyiwei / alignment-attribution-code
  [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
  ☆88Updated 8 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 9 months ago
• snw2021 / LLM_Unlearning_Papers
  ☆26Updated 2 years ago
• IBM / activation-steering
  [ICLR 2025] General-purpose activation steering library
  ☆130Updated 3 months ago
• SALT-NLP / chain-of-thought-bias
  ☆28Updated last year
• princeton-nlp / benign-data-breaks-safety
  ☆43Updated last year
• yizhongw / truthfulqa_reeval
  ☆12Updated last year
• skywalker023 / confaide
  🤫 Code and benchmark for our ICLR 2024 spotlight paper: "Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Con…
  ☆50Updated 2 years ago
• hannamw / EAP-IG
  ☆68Updated 5 months ago
• boyiwei / CoTaEval
  [NeurIPS 2024 D&B] Evaluating Copyright Takedown Methods for Language Models
  ☆17Updated last year
• jamqd / Group-Preference-Optimization
  ☆24Updated last year