Alternatives and similar repositories for Fair-LLM-Benchmark:

Users that are interested in Fair-LLM-Benchmark are comparing it to the libraries listed below

• McGill-NLP / bias-bench
  ACL 2022: An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models.
  ☆131Updated 2 months ago
• nyu-mll / BBQ
  Repository for the Bias Benchmark for QA dataset.
  ☆100Updated last year
• balevinstein / Probes
  ☆47Updated last year
• nyu-mll / crows-pairs
  This repository contains the data and code introduced in the paper "CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Maske…
  ☆111Updated 11 months ago
• pliang279 / sent_debias
  [ACL 2020] Towards Debiasing Sentence Representations
  ☆64Updated 2 years ago
• joeljang / knowledge-unlearning
  [ACL 2023] Knowledge Unlearning for Mitigating Privacy Risks in Language Models
  ☆79Updated 5 months ago
• amazon-science / bold
  Dataset associated with "BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation" paper
  ☆70Updated 3 years ago
• SALT-NLP / chain-of-thought-bias
  ☆25Updated 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…
  ☆31Updated last year
• vinid / safety-tuned-llamas
  ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.
  ☆77Updated 9 months ago
• CharlesYu2000 / PCGU-UnlearningBias
  ☆15Updated last year
• tatsu-lab / opinions_qa
  ☆104Updated 9 months ago
• SALT-NLP / Efficient_Unlearning
  ☆37Updated last year
• W4ngatang / sent-bias
  Code and test data for "On Measuring Bias in Sentence Encoders", to appear at NAACL 2019.
  ☆54Updated 3 years ago
• tianlu-wang / Identifying-and-Mitigating-Spurious-Correlations-for-Improving-Robustness-in-NLP-Models
  NAACL 2022 Findings
  ☆15Updated 2 years ago
• facebookresearch / ResponsibleNLP
  Repository for research in the field of Responsible NLP at Meta.
  ☆194Updated 2 months ago
• Irenehere / Auto-Debias
  ☆29Updated 2 years ago
• pliang279 / LM_bias
  [ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models
  ☆60Updated 2 years ago
• chrisliu298 / awesome-representation-engineering
  A resource repository for representation engineering in large language models
  ☆102Updated 3 months ago
• princeton-nlp / corpus-poisoning
  [EMNLP 2023] Poisoning Retrieval Corpora by Injecting Adversarial Passages https://arxiv.org/abs/2310.19156
  ☆29Updated last year
• Libr-AI / fairlib
  A framework for assessing and improving classification fairness.
  ☆34Updated last year
• lorenzkuhn / semantic_uncertainty
  ☆154Updated 8 months ago
• HanjieChen / Reading-List
  ☆41Updated last year
• moinnadeem / StereoSet
  StereoSet: Measuring stereotypical bias in pretrained language models
  ☆172Updated 2 years ago
• launchnlp / LitCab
  ☆22Updated 4 months ago
• SALT-NLP / implicit-hate
  ☆38Updated last year
• paul-rottger / xstest
  Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"
  ☆84Updated last week
• chujiezheng / LLM-Safeguard
  Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"
  ☆84Updated 5 months ago
• skywalker023 / confaide
  🤫 Code and benchmark for our ICLR 2024 spotlight paper: "Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Con…
  ☆39Updated last year
• allenai / unqover
  UnQovering Stereotyping Biases via Underspecified Questions - EMNLP 2020 (Findings)
  ☆20Updated 3 years ago