Alternatives and similar repositories for awesome-data-contamination:

Users that are interested in awesome-data-contamination are comparing it to the libraries listed below

• tatsu-lab / test_set_contamination
  ☆37Updated last year
• alisawuffles / proxy-tuning
  Code associated with Tuning Language Models by Proxy (Liu et al., 2024)
  ☆109Updated last year
• princeton-nlp / MQuAKE
  [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
  ☆109Updated 7 months ago
• yuzhaouoe / SAE-based-representation-engineering
  [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
  ☆53Updated 5 months ago
• roeehendel / icl_task_vectors
  ☆93Updated last year
• RZFan525 / Awesome-ScalingLaws
  A curated list of awesome resources dedicated to Scaling Laws for LLMs
  ☆71Updated 2 years ago
• vinid / safety-tuned-llamas
  ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.
  ☆80Updated 11 months ago
• edenbiran / RippleEdits
  Evaluating the Ripple Effects of Knowledge Editing in Language Models
  ☆55Updated last year
• fc2869 / lo-fit
  LoFiT: Localized Fine-tuning on LLM Representations
  ☆37Updated 3 months ago
• zepingyu0512 / neuron-attribution
  code for EMNLP 2024 paper: Neuron-Level Knowledge Attribution in Large Language Models
  ☆30Updated 5 months ago
• xingyaoww / mint-bench
  Official Repo for ICLR 2024 paper MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback by Xingyao Wang*, Ziha…
  ☆122Updated 10 months ago
• GAIR-NLP / alignment-for-honesty
  ☆73Updated 11 months ago
• balevinstein / Probes
  ☆49Updated last year
• paul-rottger / xstest
  Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"
  ☆95Updated 2 months ago
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆57Updated last year
• QwenLM / ProcessBench
  ☆149Updated 4 months ago
• vr25 / hallucination-foundation-model-survey
  A Survey of Hallucination in Large Foundation Models
  ☆54Updated last year
• chujiezheng / LLM-MCQ-Bias
  Official repository for ICLR 2024 Spotlight paper "Large Language Models Are Not Robust Multiple Choice Selectors"
  ☆38Updated 10 months ago
• SuperBruceJia / Awesome-LLM-Self-Consistency
  Awesome LLM Self-Consistency: a curated list of Self-consistency in Large Language Models
  ☆96Updated 8 months ago
• GAIR-NLP / ReasonEval
  [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy
  ☆60Updated 4 months ago
• OSU-NLP-Group / LLM-Knowledge-Conflict
  [ICLR'24 Spotlight] "Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts"
  ☆67Updated last year
• Thartvigsen / GRACE
  [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
  ☆75Updated 4 months ago
• GAIR-NLP / Preference-Dissection
  ☆25Updated 11 months ago
• Edward-Sun / easy-to-hard
  Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
  ☆120Updated 7 months ago
• GAIR-NLP / weak-to-strong-reasoning
  ☆59Updated 7 months ago
• ntunlp / LLMSanitize
  An open-source library for contamination detection in NLP datasets and Large Language Models (LLMs).
  ☆52Updated 8 months ago
• chujiezheng / LLM-Extrapolation
  Official repository for paper "Weak-to-Strong Extrapolation Expedites Alignment"
  ☆74Updated 10 months ago
• SparkJiao / dpo-trajectory-reasoning
  [EMNLP 2024] Source code for the paper "Learning Planning-based Reasoning with Trajectory Collection and Process Rewards Synthesizing".
  ☆76Updated 3 months ago
• SihengLi99 / LLM-Honesty-Survey
  A Survey on the Honesty of Large Language Models
  ☆57Updated 4 months ago
• MikaStars39 / FeatureAlignment
  FeatureAlignment = Alignment + Mechanistic Interpretability
  ☆28Updated last month