Alternatives and similar repositories for chain-of-thought-bias

Users that are interested in chain-of-thought-bias are comparing it to the libraries listed below

• joeljang / knowledge-unlearning
  [ACL 2023] Knowledge Unlearning for Mitigating Privacy Risks in Language Models
  ☆85Updated last year
• eric-mitchell / serac
  Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model
  ☆70Updated 3 years ago
• declare-lab / red-instruct
  Codes and datasets of the paper Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment
  ☆109Updated last year
• HillZhang1999 / ICD
  Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"
  ☆69Updated last year
• SALT-NLP / Efficient_Unlearning
  ☆38Updated 2 years ago
• snw2021 / LLM_Unlearning_Papers
  ☆26Updated 2 years ago
• Yangyi-Chen / PaperList-Trustworthy-Applications
  Mostly recording papers about models' trustworthy applications. Intending to include topics like model evaluation & analysis, security, c…
  ☆21Updated 2 years ago
• RUCAIBox / HaluEval-2.0
  ☆47Updated last year
• hkust-nlp / felm
  Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)
  ☆61Updated last year
• paul-rottger / xstest
  Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"
  ☆116Updated 9 months ago
• vinid / safety-tuned-llamas
  ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.
  ☆89Updated last year
• 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…
  ☆36Updated 2 years ago
• declare-lab / resta
  Restore safety in fine-tuned language models through task arithmetic
  ☆29Updated last year
• launchnlp / LitCab
  ☆25Updated 5 months ago
• Nanami18 / Snowballed_Hallucination
  ☆44Updated last year
• genglinliu / UnknownBench
  Repo for paper: Examining LLMs' Uncertainty Expression Towards Questions Outside Parametric Knowledge
  ☆14Updated last year
• epfl-dlab / llm-latent-language
  Repo accompanying our paper "Do Llamas Work in English? On the Latent Language of Multilingual Transformers".
  ☆80Updated last year
• hongshi97 / CAD
  Unofficial re-implementation of "Trusting Your Evidence: Hallucinate Less with Context-aware Decoding"
  ☆33Updated last year
• balevinstein / Probes
  ☆57Updated 2 years ago
• princeton-nlp / MQuAKE
  [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
  ☆119Updated last year
• zthang / Focus
  ☆21Updated last year
• jinzhuoran / RWKU
  RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024
  ☆86Updated last year
• lyy1994 / awesome-data-contamination
  The Paper List on Data Contamination for Large Language Models Evaluation.
  ☆106Updated 2 weeks ago
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆63Updated last year
• princeton-nlp / MABEL
  EMNLP 2022: "MABEL: Attenuating Gender Bias using Textual Entailment Data" https://arxiv.org/abs/2210.14975
  ☆38Updated last year
• vr25 / hallucination-foundation-model-survey
  A Survey of Hallucination in Large Foundation Models
  ☆55Updated last year
• princeton-nlp / benign-data-breaks-safety
  ☆42Updated last year
• penguinnnnn / awesome-llm-and-society
  Recent papers on (1) Psychology of LLMs; (2) Biases in LLMs.
  ☆50Updated 2 years ago
• yihuaihong / ConceptVectors
  [EMNLP 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"
  ☆38Updated 3 months ago
• GAIR-NLP / alignment-for-honesty
  ☆76Updated last year