Alternatives and similar repositories for ADEPT

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

• mt-upc / logit-explanations
  ☆14Updated 2 years ago
• milesaturpin / cot-unfaithfulness
  ☆46Updated last year
• unbiarirang / Fixed-Input-Parameterization
  This repository contains the official code for the paper: "Prompt Injection: Parameterization of Fixed Inputs"
  ☆32Updated 10 months ago
• ruiqi-zhong / nlparam
  Augmenting Statistical Models with Natural Language Parameters
  ☆27Updated 10 months ago
• Thartvigsen / GRACE
  [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
  ☆77Updated 6 months ago
• joeljang / knowledge-unlearning
  [ACL 2023] Knowledge Unlearning for Mitigating Privacy Risks in Language Models
  ☆82Updated 10 months ago
• dannyallover / overthinking_the_truth
  ☆29Updated last year
• Nanami18 / Snowballed_Hallucination
  ☆44Updated 10 months ago
• deeplearning-wisc / args
  ☆43Updated last year
• McGill-NLP / AdversarialTriggers
  Code for "Universal Adversarial Triggers Are Not Universal."
  ☆17Updated last year
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆74Updated 4 months ago
• vinid / safety-tuned-llamas
  ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.
  ☆85Updated last year
• tatsu-lab / linguistic_calibration
  Align your LM to express calibrated verbal statements of confidence in its long-form generations.
  ☆26Updated last year
• eric-mitchell / serac
  Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model
  ☆68Updated 2 years ago
• yihuaihong / ConceptVectors
  ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"
  ☆36Updated 5 months ago
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆94Updated last year
• balevinstein / Probes
  ☆51Updated 2 years ago
• peterljq / Parsimonious-Concept-Engineering
  PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)
  ☆38Updated 8 months ago
• declare-lab / resta
  Restore safety in fine-tuned language models through task arithmetic
  ☆28Updated last year
• HKUNLP / ProGen
  [EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.
  ☆27Updated 2 years ago
• activatedgeek / calibration-tuning
  ☆51Updated 3 months ago
• launchnlp / BOLT
  Code for ACL 2023 paper "BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases".
  ☆21Updated last year
• SumilerGAO / SunGen
  ☆27Updated 2 years ago
• thestephencasper / explore_establish_exploit_llms
  ☆31Updated 2 years ago
• Hunter-DDM / knowledge-neurons
  Code for the ACL-2022 paper "Knowledge Neurons in Pretrained Transformers"
  ☆170Updated last year
• AlexWan0 / Poisoning-Instruction-Tuned-Models
  ☆57Updated last year
• Vaidehi99 / InfoDeletionAttacks
  ☆44Updated 5 months ago
• abhishekpanigrahi1996 / Skill-Localization-by-grafting
  ☆49Updated 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…
  ☆42Updated last year
• shauli-ravfogel / rlace-icml
  ☆36Updated 3 years ago