JFChi / PLUE

Related projects ⓘ

Alternatives and complementary repositories for PLUE

• nyu-mll / BBQ
  Repository for the Bias Benchmark for QA dataset.
  ☆85Updated 10 months ago
• beinborn / relative_importance
  ☆16Updated 2 years ago
• peterbhase / LAS-NL-Explanations
  Code for paper "Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?"
  ☆20Updated 4 years ago
• pliang279 / sent_debias
  [ACL 2020] Towards Debiasing Sentence Representations
  ☆61Updated last year
• tatsu-lab / opinions_qa
  ☆94Updated 6 months ago
• ruiqi-zhong / DescribeDistributionalDifferences
  Code for preprint: Summarizing Differences between Text Distributions with Natural Language
  ☆42Updated last year
• pliang279 / LM_bias
  [ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models
  ☆60Updated 2 years ago
• hkust-nlp / felm
  Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)
  ☆54Updated 10 months ago
• leix28 / prompt-universal-vulnerability
  Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022
  ☆27Updated 2 years ago
• dannyallover / overthinking_the_truth
  ☆26Updated 6 months ago
• nayeon7lee / FactualityPrompt
  ☆78Updated 2 years ago
• teacherpeterpan / ProgramFC
  Codes for ACL 2023 Paper "Fact-Checking Complex Claims with Program-Guided Reasoning"
  ☆27Updated last year
• yasumasaonoe / entity_knowledge_propagation
  ☆16Updated last year
• mireshghallah / mixmatch
  Repository for ACL 2022 paper Mix and Match: Learning-free Controllable Text Generation using Energy Language Models
  ☆41Updated 2 years ago
• archiki / GrIPS
  Code for our paper: "GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models"
  ☆51Updated last year
• epfl-dlab / invariant-language-models
  A framework to train language models to learn invariant representations.
  ☆12Updated 2 years ago
• yanaiela / pararel
  ☆42Updated 9 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
• edenbiran / HoppingTooLate
  Exploring the Limitations of Large Language Models on Multi-Hop Queries
  ☆15Updated 4 months ago
• SALT-NLP / Efficient_Unlearning
  ☆35Updated last year
• Betswish / MIRAGE
  Easy-to-use MIRAGE code for faithful answer attribution in RAG applications. Paper: https://arxiv.org/abs/2406.13663
  ☆15Updated 3 weeks ago
• hsajjad / Interpretability-Tutorial-NAACL2021
  ☆24Updated 3 years ago
• allenai / mice
  ☆26Updated 2 years ago
• paul-rottger / exaggerated-safety
  Röttger et al. (2023): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"
  ☆61Updated 10 months ago
• Yixiao-Song / VeriScore
  ☆11Updated last month
• kanekomasahiro / context-debias
  ☆25Updated 2 years ago
• joeljang / knowledge-unlearning
  [ACL 2023] Knowledge Unlearning for Mitigating Privacy Risks in Language Models
  ☆76Updated 2 months ago
• i-gallegos / Fair-LLM-Benchmark
  ☆109Updated last year
• easonnie / ChaosNLI
  [EMNLP 2020] Collective HumAn OpinionS on Natural Language Inference Data
  ☆33Updated 2 years ago
• cookielee77 / CLARE
  Contextualized Perturbation for Textual Adversarial Attack, NAACL 2021
  ☆43Updated 3 years ago