Alternatives and similar repositories for mink-plus-plus

Users that are interested in mink-plus-plus are comparing it to the libraries listed below

• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆62Updated last year
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆99Updated last year
• fc2869 / lo-fit
  LoFiT: Localized Fine-tuning on LLM Representations
  ☆43Updated 10 months ago
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆83Updated 8 months ago
• Thartvigsen / GRACE
  [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
  ☆82Updated 10 months ago
• kevinyaobytedance / llm_unlearn
  LLM Unlearning
  ☆177Updated 2 years ago
• JasonForJoy / Model-Editing-Hurt
  EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
  ☆37Updated 5 months ago
• licong-lin / negative-preference-optimization
  ☆68Updated 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
• boyiwei / alignment-attribution-code
  [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
  ☆86Updated 7 months ago
• vinid / safety-tuned-llamas
  ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.
  ☆88Updated last year
• yihuaihong / ConceptVectors
  [EMNLP 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"
  ☆38Updated 2 months ago
• javiferran / sae_entities
  ☆63Updated 8 months ago
• eric-mitchell / serac
  Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model
  ☆68Updated 3 years ago
• ykwon0407 / DataInf
  DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)
  ☆76Updated last year
• SALT-NLP / Efficient_Unlearning
  ☆38Updated 2 years ago
• tatsu-lab / test_set_contamination
  ☆41Updated 2 years ago
• Vaidehi99 / InfoDeletionAttacks
  ☆47Updated 9 months ago
• hkust-nlp / PEM_composition
  [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"
  ☆61Updated last year
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆62Updated last year
• jinhaoduan / SAR
  [ACL 2024] Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
  ☆59Updated last year
• princeton-nlp / benign-data-breaks-safety
  ☆41Updated last year
• alisawuffles / proxy-tuning
  Code associated with Tuning Language Models by Proxy (Liu et al., 2024)
  ☆121Updated last year
• pratyushmaini / llm_dataset_inference
  Official Repository for Dataset Inference for LLMs
  ☆43Updated 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…
  ☆47Updated last year
• avalonstrel / Mitigating-the-Alignment-Tax-of-RLHF
  ☆15Updated last year
• MiaoXiong2320 / llm-uncertainty
  code repo for ICLR 2024 paper "Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs"
  ☆137Updated last year
• dannyallover / overthinking_the_truth
  ☆29Updated last year
• ShuheSH / A-Survey-of-the-Reasoning-Abilities-of-LLMs
  ☆25Updated 8 months ago
• swj0419 / muse_bench
  ☆29Updated 8 months ago