Alternatives and similar repositories for CoTaEval:

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

• princeton-nlp / benign-data-breaks-safety
  ☆30Updated 5 months ago
• jaechan-repo / muse_bench
  ☆16Updated 7 months ago
• licong-lin / negative-preference-optimization
  ☆49Updated 7 months ago
• ethz-spylab / unlearning-vs-safety
  ☆17Updated 5 months ago
• Vaidehi99 / InfoDeletionAttacks
  ☆41Updated last month
• SALT-NLP / Efficient_Unlearning
  ☆37Updated last year
• paul-rottger / xstest
  Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"
  ☆85Updated 2 weeks ago
• swj0419 / muse_bench
  ☆20Updated 7 months ago
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆89Updated 9 months ago
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆54Updated 5 months ago
• SALT-NLP / chain-of-thought-bias
  ☆25Updated 5 months ago
• SORRY-Bench / sorry-bench
  Benchmark evaluation code for "SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal" (ICLR 2025)
  ☆46Updated last week
• vinid / safety-tuned-llamas
  ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.
  ☆77Updated 10 months ago
• sail-sg / I-FSJ
  Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)
  ☆57Updated 2 months ago
• franciscoliu / SKU
  Official code implementation of SKU, Accepted by ACL 2024 Findings
  ☆13Updated 2 months ago
• git-disl / Vaccine
  This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)
  ☆40Updated 3 months ago
• jinzhuoran / RWKU
  RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024
  ☆69Updated 5 months ago
• sail-sg / closer-look-LLM-unlearning
  The official code of the paper "A Closer Look at Machine Unlearning for Large Language Models".
  ☆23Updated 3 months ago
• yihuaihong / ConceptVectors
  ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"
  ☆32Updated 3 weeks ago
• chujiezheng / LLM-Safeguard
  Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"
  ☆86Updated 6 months ago
• OPTML-Group / Unlearn-Simple
  "Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning" by Chongyu Fan*, Jiancheng Liu*, Licong Lin*, Jingh…
  ☆21Updated last week
• Unispac / shallow-vs-deep-alignment
  Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep
  ☆81Updated 8 months ago
• BeyonderXX / ShadowAlignment
  Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models
  ☆27Updated last year
• declare-lab / resta
  Restore safety in fine-tuned language models through task arithmetic
  ☆27Updated 11 months ago
• pratyushmaini / llm_dataset_inference
  Official Repository for Dataset Inference for LLMs
  ☆32Updated 7 months ago
• OPTML-Group / WAGLE
  Official repo for NeurIPS'24 paper "WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models"
  ☆12Updated 2 months ago
• thunlp / Advbench
  Code and data of the EMNLP 2022 paper "Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversaria…
  ☆42Updated 2 years 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…
  ☆32Updated last year
• tatsu-lab / test_set_contamination
  ☆37Updated last year
• pillowsofwind / Course-Correction
  [EMNLP 2024] The official GitHub repo for the paper "Course-Correction: Safety Alignment Using Synthetic Preferences"
  ☆19Updated 5 months ago