The Paper List on Data Contamination for Large Language Models Evaluation.
☆118Sep 28, 2026Updated last month
Alternatives and similar repositories for awesome-data-contamination
Users that are interested in awesome-data-contamination are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆16Nov 26, 2024Updated last year
- An open-source library for contamination detection in NLP datasets and Large Language Models (LLMs).☆60Aug 13, 2024Updated 2 years ago
- DICE: Detecting In-distribution Data Contamination with LLM's Internal State☆11Sep 21, 2024Updated 2 years ago
- The official repo for DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph☆19Oct 13, 2024Updated 2 years ago
- [ACL 2025] Official code for ''Learning to Reason from Feedback at Test-Time''.☆13May 16, 2025Updated last year
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Official completion of “Training on the Benchmark Is Not All You Need”.☆40Dec 31, 2024Updated last year
- This repository provides an original implementation of Detecting Pretraining Data from Large Language Models by *Weijia Shi, *Anirudh Aji…☆244Nov 3, 2023Updated 2 years ago
- [ICLR'25 Spotlight] Min-K%++: Improved baseline for detecting pre-training data of LLMs☆61May 26, 2025Updated last year
- The LM Contamination Index is a manually created database of contamination evidences for LMs.☆82Apr 11, 2024Updated 2 years ago
- Lightweight tool to identify Data Contamination in LLMs evaluation☆52Mar 8, 2024Updated 2 years ago
- Code for the paper "Rethinking Benchmark and Contamination for Language Models with Rephrased Samples"☆327Dec 20, 2023Updated 2 years ago
- The official implementation of the paper "Data Contamination Calibration for Black-box LLMs"☆17May 21, 2024Updated 2 years ago
- [ICLR 2025] Permute-and-Flip: An optimally robust and watermarkable decoder for LLMs☆19Mar 20, 2025Updated last year
- SVIP: Towards Verifiable Inference of Open-Source Large Language Models☆15Jun 3, 2025Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- BeHonest: Benchmarking Honesty in Large Language Models☆36Aug 15, 2024Updated 2 years ago
- ☆16Oct 15, 2025Updated last year
- Xlore2.0 Code[BaiduExtractor, HudongExtractor, WikiExtractor, XloreData, XloreWeb]☆12Apr 5, 2017Updated 9 years ago
- ☆27Dec 18, 2024Updated last year
- Official code for ICLR 2024 paper, SEABO: A Simple Search-Based Method for Offline Imitation Learning☆14Jan 19, 2024Updated 2 years ago
- Code and data to support Bamman et al. (2020), "A Dataset of Literary Coreference" (LREC)☆11Dec 8, 2022Updated 3 years ago
- Code for LLM_Catastrophic_Forgetting via SAM.☆11Jun 7, 2024Updated 2 years ago
- ☆20Oct 24, 2023Updated 3 years ago
- A simple unified framework for evaluating LLMs☆273Apr 14, 2025Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- The implementation of Teachability-Aware On-Policy Distillation (TA-OPD), the method introduced in Not All Disagreement Is Learnable: Tok…☆21May 25, 2026Updated 5 months ago
- Learning from Negative samples for Biomedical Generative Entity Linking☆19May 25, 2025Updated last year
- Paper list for the paper "Authorship Attribution in the Era of Large Language Models: Problems, Methodologies, and Challenges (SIGKDD Exp…☆20May 25, 2026Updated 5 months ago
- [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models☆60Feb 7, 2025Updated last year
- ☆36Mar 10, 2025Updated last year
- Python package developed to evaluate textual overlap (N-Grams) between two volumes of text.☆11Sep 23, 2021Updated 5 years ago
- ☆14May 12, 2026Updated 5 months ago
- Code for NeurIPS 2024 paper "Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs"☆48Feb 20, 2025Updated last year
- [NAACL'25 Oral] Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering☆88Jun 20, 2026Updated 4 months ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Benchmarking Dark Patterns in LLMs (ICLR 2025)☆19Mar 29, 2025Updated last year
- Benchmarking Benchmark Leakage in Large Language Models☆61May 20, 2024Updated 2 years ago
- Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models☆839Oct 24, 2026Updated last week
- A bibliography and survey of the papers surrounding o1☆1,214Jul 7, 2026Updated 3 months ago
- [NeurIPS 2024] OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI☆106Mar 6, 2025Updated last year
- Codes and data for EMNLP 2021 paper "Self- and Pseudo-self-supervised Prediction of Speaker and Key-utterance for Multi-party Dialogue Re…☆16Oct 15, 2022Updated 4 years ago
- ☆36Aug 14, 2026Updated 2 months ago