Alternatives and similar repositories for ADEPT

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

• joeljang / knowledge-unlearning
  [ACL 2023] Knowledge Unlearning for Mitigating Privacy Risks in Language Models
  ☆86Updated last year
• dannyallover / overthinking_the_truth
  ☆29Updated last year
• princeton-nlp / benign-data-breaks-safety
  ☆44Updated last year
• ykwon0407 / DataInf
  DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)
  ☆79Updated last year
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆85Updated 11 months ago
• SALT-NLP / Efficient_Unlearning
  ☆37Updated 2 years ago
• AIM-Intelligence / RepBend
  Code for Representation Bending Paper
  ☆16Updated 6 months ago
• jinzhuoran / RWKU
  RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024
  ☆89Updated last year
• CharlesYu2000 / PCGU-UnlearningBias
  ☆17Updated 2 years ago
• lorenzkuhn / semantic_uncertainty
  ☆184Updated last year
• deeplearning-wisc / picle
  Official code for ICML 2024 paper on Persona In-Context Learning (PICLe)
  ☆26Updated last year
• abhishekpanigrahi1996 / Skill-Localization-by-grafting
  ☆52Updated 2 years ago
• swj0419 / muse_bench
  ☆33Updated 10 months ago
• jinhaoduan / SAR
  [ACL 2024] Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
  ☆60Updated last year
• fc2869 / lo-fit
  LoFiT: Localized Fine-tuning on LLM Representations
  ☆44Updated last year
• balevinstein / Probes
  ☆58Updated 2 years ago
• SALT-NLP / chain-of-thought-bias
  ☆28Updated last year
• yuzhaouoe / SAE-based-representation-engineering
  [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
  ☆72Updated 3 weeks ago
• deeplearning-wisc / args
  ☆46Updated 2 years ago
• launchnlp / BOLT
  Code for ACL 2023 paper "BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases".
  ☆22Updated 2 years ago
• eric-mitchell / serac
  Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model
  ☆71Updated 3 years ago
• i-gallegos / Fair-LLM-Benchmark
  ☆158Updated 2 years ago
• zepingyu0512 / neuron-attribution
  code for EMNLP 2024 paper: Neuron-Level Knowledge Attribution in Large Language Models
  ☆50Updated last year
• licong-lin / negative-preference-optimization
  ☆72Updated last year
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆66Updated last year
• MiaoXiong2320 / llm-uncertainty
  code repo for ICLR 2024 paper "Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs"
  ☆144Updated last year
• boyiwei / alignment-attribution-code
  [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
  ☆89Updated 10 months ago
• ruiqi-zhong / nlparam
  Augmenting Statistical Models with Natural Language Parameters
  ☆29Updated last year
• princeton-nlp / corpus-poisoning
  [EMNLP 2023] Poisoning Retrieval Corpora by Injecting Adversarial Passages https://arxiv.org/abs/2310.19156
  ☆47Updated 2 years ago
• sail-sg / lm-random-memory-access
  ☆15Updated last year