Alternatives and similar repositories for Efficient_Unlearning

Users that are interested in Efficient_Unlearning 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
• princeton-nlp / benign-data-breaks-safety
  ☆41Updated last year
• swj0419 / muse_bench
  ☆28Updated 7 months ago
• vinid / safety-tuned-llamas
  ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.
  ☆87Updated last year
• jinzhuoran / RWKU
  RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024
  ☆83Updated last year
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆60Updated last year
• kevinyaobytedance / llm_unlearn
  LLM Unlearning
  ☆176Updated 2 years 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
• eric-mitchell / serac
  Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model
  ☆68Updated 2 years ago
• SALT-NLP / chain-of-thought-bias
  ☆28Updated last year
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆82Updated 7 months ago
• licong-lin / negative-preference-optimization
  ☆66Updated last year
• jinhaoduan / SAR
  [ACL 2024] Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
  ☆57Updated last year
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆61Updated last year
• princeton-nlp / corpus-poisoning
  [EMNLP 2023] Poisoning Retrieval Corpora by Injecting Adversarial Passages https://arxiv.org/abs/2310.19156
  ☆40Updated last year
• zjysteven / mink-plus-plus
  [ICLR'25 Spotlight] Min-K%++: Improved baseline for detecting pre-training data of LLMs
  ☆45Updated 5 months ago
• EmpathYang / ADEPT
  Source code and data for ADEPT: A DEbiasing PrompT Framework (AAAI-23).
  ☆15Updated 10 months ago
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆99Updated last year
• CharlesYu2000 / PCGU-UnlearningBias
  ☆17Updated last year
• 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
• deeplearning-wisc / picle
  Official code for ICML 2024 paper on Persona In-Context Learning (PICLe)
  ☆26Updated last year
• centerforaisafety / tdc2023-starter-kit
  This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.
  ☆89Updated last year
• ykwon0407 / DataInf
  DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)
  ☆76Updated last year
• i-gallegos / Fair-LLM-Benchmark
  ☆154Updated 2 years ago
• launchnlp / LitCab
  ☆25Updated 4 months ago
• lorenzkuhn / semantic_uncertainty
  ☆179Updated last year
• javiferran / sae_entities
  ☆63Updated 7 months ago
• chujiezheng / LLM-Safeguard
  Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"
  ☆97Updated 5 months ago
• chrisliu298 / awesome-representation-engineering
  A resource repository for representation engineering in large language models
  ☆138Updated 11 months ago