Alternatives and similar repositories for test_set_contamination

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

• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆99Updated last year
• lyy1994 / awesome-data-contamination
  The Paper List on Data Contamination for Large Language Models Evaluation.
  ☆101Updated last month
• alisawuffles / proxy-tuning
  Code associated with Tuning Language Models by Proxy (Liu et al., 2024)
  ☆121Updated last year
• HillZhang1999 / ICD
  Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"
  ☆69Updated last year
• hkust-nlp / Activation_Decoding
  In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation (ICML 2024)
  ☆61Updated 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
• yihuaihong / ConceptVectors
  [EMNLP 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"
  ☆35Updated 2 months ago
• eric-mitchell / serac
  Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model
  ☆68Updated 2 years ago
• Glaciohound / LM-Steer
  Official Code Repository for LM-Steer Paper: "Word Embeddings Are Steers for Language Models" (ACL 2024 Outstanding Paper Award)
  ☆125Updated 3 months ago
• princeton-nlp / LLMBar
  [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following
  ☆132Updated last year
• dannyallover / overthinking_the_truth
  ☆29Updated last year
• Reason-Wang / NAT
  [NAACL 2025] The official implementation of paper "Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language M…
  ☆29Updated last year
• lmarena / PPE
  ☆55Updated 5 months ago
• shizhediao / R-Tuning
  [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…
  ☆122Updated last year
• Thartvigsen / GRACE
  [NeurIPS'23] Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors
  ☆81Updated 10 months ago
• liyucheng09 / Contamination_Detector
  Lightweight tool to identify Data Contamination in LLMs evaluation
  ☆52Updated last year
• RZFan525 / Awesome-ScalingLaws
  A curated list of awesome resources dedicated to Scaling Laws for LLMs
  ☆79Updated 2 years ago
• hkust-nlp / PEM_composition
  [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"
  ☆61Updated last year
• yuzhaouoe / SAE-based-representation-engineering
  [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
  ☆66Updated 11 months ago
• declare-lab / resta
  Restore safety in fine-tuned language models through task arithmetic
  ☆29Updated last year
• TIGER-AI-Lab / LongICLBench
  Code and Data for "Long-context LLMs Struggle with Long In-context Learning" [TMLR2025]
  ☆108Updated 8 months ago
• edenbiran / RippleEdits
  Evaluating the Ripple Effects of Knowledge Editing in Language Models
  ☆56Updated last year
• ericwtodd / function_vectors
  Function Vectors in Large Language Models (ICLR 2024)
  ☆181Updated 6 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…
  ☆35Updated 2 years ago
• QingruZhang / PASTA
  PASTA: Post-hoc Attention Steering for LLMs
  ☆125Updated 11 months ago
• activatedgeek / calibration-tuning
  ☆52Updated 6 months ago
• JasonForJoy / Model-Editing-Hurt
  EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
  ☆37Updated 5 months ago
• zjysteven / mink-plus-plus
  [ICLR'25 Spotlight] Min-K%++: Improved baseline for detecting pre-training data of LLMs
  ☆45Updated 5 months ago
• THU-KEG / RM-Bench
  [ICLR 25 Oral] RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style
  ☆64Updated 3 months ago
• princeton-nlp / MQuAKE
  [EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
  ☆117Updated last year