Alternatives and similar repositories for FailureLLMUnlearning

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

• peterljq / Parsimonious-Concept-Engineering
  PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)
  ☆40Updated 11 months ago
• facebookresearch / AbstentionBench
  A holistic benchmark for LLM abstention
  ☆53Updated last month
• mandyyyyii / east
  ☆20Updated 2 months ago
• stanfordnlp / axbench
  Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
  ☆134Updated 3 months ago
• sail-sg / Cheating-LLM-Benchmarks
  [ICLR 2025] Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates (Oral)
  ☆83Updated 11 months ago
• uservan / ThinkPO
  ☆18Updated 2 months ago
• yihuaihong / ConceptVectors
  [EMNLP 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"
  ☆35Updated last month
• wang-kee / LiNeS
  Official repository of "LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging"
  ☆30Updated 11 months ago
• Luckfort / CD
  [COLING'25] Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?
  ☆80Updated 8 months ago
• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆47Updated 7 months ago
• limenlp / safer-instruct
  This is the oficial repository for "Safer-Instruct: Aligning Language Models with Automated Preference Data"
  ☆17Updated last year
• ZhentingWang / DUMP
  ☆28Updated 4 months ago
• tml-epfl / icl-alignment
  Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]
  ☆31Updated 8 months ago
• fangyuan-ksgk / CoT-Reasoning-without-Prompting
  Unofficial Implementation of Chain-of-Thought Reasoning Without Prompting
  ☆33Updated last year
• ShuheSH / A-Survey-of-the-Reasoning-Abilities-of-LLMs
  ☆26Updated 7 months ago
• zjunlp / PitfallsKnowledgeEditing
  [ICLR 2024] Unveiling the Pitfalls of Knowledge Editing for Large Language Models
  ☆22Updated last year
• zjunlp / unlearn
  [ACL 2025] Knowledge Unlearning for Large Language Models
  ☆42Updated 2 weeks ago
• poloclub / llm-landscape
  NeurIPS'24 - LLM Safety Landscape
  ☆29Updated 7 months ago
• ChnQ / TracingLLM
  ☆30Updated last year
• ahans30 / goldfish-loss
  [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs
  ☆92Updated 10 months ago
• maszhongming / ParaKnowTransfer
  Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"
  ☆33Updated last year
• zjunlp / steer-target-atoms
  [ACL 2025] Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target Atoms
  ☆24Updated 4 months ago
• sail-sg / feedback-conditional-policy
  Code for "Language Models Can Learn from Verbal Feedback Without Scalar Rewards"
  ☆33Updated last week
• bethgelab / sober-reasoning
  A Sober Look at Language Model Reasoning
  ☆83Updated 3 weeks ago
• JasonForJoy / Model-Editing-Hurt
  EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
  ☆37Updated 4 months ago
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆61Updated last year
• katiekang1998 / reasoning_generalization
  ☆33Updated 8 months ago
• socialfoundations / tttlm
  Test-time-training on nearest neighbors for large language models
  ☆46Updated last year
• sail-sg / dice
  Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
  ☆44Updated 5 months ago
• jiahai-feng / binding-iclr
  ☆15Updated last year