joeljang / knowledge-unlearning

Related projects ⓘ

Alternatives and complementary repositories for knowledge-unlearning

• SALT-NLP / Efficient_Unlearning
  ☆36Updated last year
• CharlesYu2000 / PCGU-UnlearningBias
  ☆13Updated last year
• SALT-NLP / chain-of-thought-bias
  ☆23Updated 2 months ago
• joeljang / temporalwiki
  [EMNLP 2022] TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models
  ☆66Updated 6 months ago
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆47Updated last month
• declare-lab / resta
  Restore safety in fine-tuned language models through task arithmetic
  ☆26Updated 7 months ago
• dannyallover / overthinking_the_truth
  ☆26Updated 6 months ago
• eric-mitchell / serac
  Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model
  ☆65Updated 2 years ago
• joeljang / continual-knowledge-learning
  [ICLR 2022] Towards Continual Knowledge Learning of Language Models
  ☆93Updated 2 years ago
• GXimingLu / Quark
  ☆74Updated last year
• SumilerGAO / SunGen
  ☆24Updated last year
• balevinstein / Probes
  ☆39Updated last year
• snwen123 / LLM_Unlearning_Papers
  ☆24Updated 11 months ago
• i-gallegos / Fair-LLM-Benchmark
  ☆111Updated last year
• hongshi97 / CAD
  Unofficial re-implementation of "Trusting Your Evidence: Hallucinate Less with Context-aware Decoding"
  ☆28Updated last year
• swj0419 / muse_bench
  ☆16Updated 4 months ago
• vinid / safety-tuned-llamas
  ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.
  ☆71Updated 6 months ago
• snu-mllab / Bayesian-Red-Teaming
  About Official PyTorch implementation of "Query-Efficient Black-Box Red Teaming via Bayesian Optimization" (ACL'23)
  ☆12Updated 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…
  ☆34Updated 11 months ago
• hkust-nlp / felm
  Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)
  ☆54Updated 10 months ago
• joeljang / negated-prompts-for-llms
  [NeurIPS 2022 Workshop] A Case Study with Negated Prompts using T0 (3B, 11B), InstructGPT (350M-175B), GPT-3 (350M - 175B) & OPT (125M - …
  ☆23Updated 2 years ago
• yasumasaonoe / entity_knowledge_propagation
  ☆16Updated last year
• boyiwei / CoTaEval
  Official code for the paper: Evaluating Copyright Takedown Methods for Language Models
  ☆15Updated 4 months ago
• lifan-yuan / OOD_NLP
  [NeurIPS 2023 D&B Track] Code and data for paper "Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evalua…
  ☆29Updated last year
• unbiarirang / Fixed-Input-Parameterization
  This repository contains the official code for the paper: "Prompt Injection: Parameterization of Fixed Inputs"
  ☆32Updated 2 months ago
• princeton-nlp / MABEL
  EMNLP 2022: "MABEL: Attenuating Gender Bias using Textual Entailment Data" https://arxiv.org/abs/2210.14975
  ☆37Updated 11 months ago
• hkust-nlp / PEM_composition
  [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"
  ☆58Updated 11 months ago
• nayeon7lee / FactualityPrompt
  ☆80Updated 2 years ago
• franciscoliu / SKU
  Official code implementation of SKU, Accepted by ACL 2024 Findings
  ☆11Updated 6 months ago
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆57Updated 2 weeks ago