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
  ☆82Updated 10 months ago
• SALT-NLP / Efficient_Unlearning
  ☆38Updated last year
• i-gallegos / Fair-LLM-Benchmark
  ☆141Updated last year
• EmpathYang / ADEPT
  Source code and data for ADEPT: A DEbiasing PrompT Framework (AAAI-23).
  ☆15Updated 7 months ago
• snw2021 / LLM_Unlearning_Papers
  ☆26Updated last year
• javiferran / sae_entities
  ☆60Updated 5 months ago
• swj0419 / muse_bench
  ☆23Updated 4 months ago
• ykwon0407 / DataInf
  DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)
  ☆73Updated 10 months ago
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆59Updated 10 months ago
• jinzhuoran / RWKU
  RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024
  ☆77Updated 10 months ago
• SALT-NLP / chain-of-thought-bias
  ☆28Updated 10 months ago
• vinid / safety-tuned-llamas
  ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.
  ☆85Updated last year
• kevinyaobytedance / llm_unlearn
  LLM Unlearning
  ☆172Updated last year
• chrisliu298 / awesome-representation-engineering
  A resource repository for representation engineering in large language models
  ☆129Updated 8 months ago
• licong-lin / negative-preference-optimization
  ☆60Updated last year
• sail-sg / closer-look-LLM-unlearning
  [ICLR 2025] A Closer Look at Machine Unlearning for Large Language Models
  ☆36Updated 8 months ago
• balevinstein / Probes
  ☆52Updated 2 years ago
• UCSB-NLP-Chang / causal_unlearn
  [EMNLP 2024] "Revisiting Who's Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective"
  ☆25Updated last year
• jaechan-repo / muse_bench
  ☆26Updated 11 months ago
• boyiwei / alignment-attribution-code
  [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
  ☆81Updated 4 months ago
• paul-rottger / xstest
  Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"
  ☆106Updated 5 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 2 years ago
• princeton-nlp / benign-data-breaks-safety
  ☆41Updated 10 months ago
• DAMO-NLP-SG / multilingual_analysis
  [NeurIPS 2024] How do Large Language Models Handle Multilingualism?
  ☆37Updated 8 months ago
• jthickstun / watermark
  Code for watermarking language models
  ☆80Updated 11 months ago
• IBM / activation-steering
  [ICLR 2025] General-purpose activation steering library
  ☆87Updated last week
• flamewei123 / DEPN
  ☆24Updated last year
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆74Updated 4 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
• centerforaisafety / tdc2023-starter-kit
  This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.
  ☆90Updated last year