Alternatives and similar repositories for Unlearning_LLM:

Users that are interested in Unlearning_LLM are comparing it to the libraries listed below

• jinzhuoran / RWKU
  RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024
  ☆67Updated 4 months ago
• licong-lin / negative-preference-optimization
  ☆45Updated 7 months ago
• Unispac / shallow-vs-deep-alignment
  Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep
  ☆71Updated 7 months ago
• SALT-NLP / Efficient_Unlearning
  ☆37Updated last year
• KID-22 / LLM-Unlearning-Paper-List
  ☆28Updated 8 months ago
• swj0419 / muse_bench
  ☆20Updated 7 months ago
• boyiwei / alignment-attribution-code
  [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
  ☆69Updated 4 months ago
• OPTML-Group / SOUL
  Official repo for EMNLP'24 paper "SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning"
  ☆18Updated 4 months ago
• Vaidehi99 / InfoDeletionAttacks
  ☆41Updated last week
• UCSC-VLAA / vllm-safety-benchmark
  [ECCV 2024] Official PyTorch Implementation of "How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs"
  ☆75Updated last year
• kevinyaobytedance / llm_unlearn
  LLM Unlearning
  ☆140Updated last year
• franciscoliu / Awesome-GenAI-Unlearning
  ☆110Updated 3 weeks ago
• tatsu-lab / test_set_contamination
  ☆37Updated last year
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆89Updated 8 months ago
• franciscoliu / SKU
  Official code implementation of SKU, Accepted by ACL 2024 Findings
  ☆13Updated 2 months ago
• princeton-nlp / benign-data-breaks-safety
  ☆30Updated 4 months ago
• boyiwei / CoTaEval
  [NeurIPS 2024 D&B] Evaluating Copyright Takedown Methods for Language Models
  ☆17Updated 7 months ago
• locuslab / tofu
  Landing Page for TOFU
  ☆115Updated last week
• decoding-comp-trust / comp-trust
  Codebase for decoding compressed trust.
  ☆23Updated 9 months ago
• vinid / safety-tuned-llamas
  ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.
  ☆77Updated 9 months ago
• chujiezheng / LLM-Safeguard
  Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"
  ☆84Updated 5 months ago
• MartinPawel / In-Context-Unlearning
  "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.
  ☆23Updated last year
• joeljang / knowledge-unlearning
  [ACL 2023] Knowledge Unlearning for Mitigating Privacy Risks in Language Models
  ☆79Updated 5 months ago
• sail-sg / I-FSJ
  Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)
  ☆56Updated last month
• Improbable-AI / curiosity_redteam
  Official implementation of ICLR'24 paper, "Curiosity-driven Red Teaming for Large Language Models" (https://openreview.net/pdf?id=4KqkizX…
  ☆70Updated 11 months ago
• yihuaihong / ConceptVectors
  ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"
  ☆32Updated last week
• flamewei123 / DEPN
  ☆22Updated 10 months ago
• XuandongZhao / Unigram-Watermark
  [ICLR 2024] Provable Robust Watermarking for AI-Generated Text
  ☆29Updated last year
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆62Updated 3 months ago
• git-disl / awesome_LLM-harmful-fine-tuning-papers
  A survey on harmful fine-tuning attack for large language model
  ☆135Updated this week