liyucheng09 / Contamination_DetectorLinks
Lightweight tool to identify Data Contamination in LLMs evaluation
☆52Updated last year
Alternatives and similar repositories for Contamination_Detector
Users that are interested in Contamination_Detector are comparing it to the libraries listed below
Sorting:
- [ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following☆131Updated last year
- [NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't…☆120Updated last year
- Source code of "Reasons to Reject? Aligning Language Models with Judgments"☆58Updated last year
- A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.☆87Updated last year
- Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models [NeurIPS 2024]☆74Updated 10 months ago
- Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.☆132Updated 2 years ago
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆188Updated last year
- ☆105Updated 2 months ago
- Official repository for ACL 2025 paper "Model Extrapolation Expedites Alignment"☆75Updated 4 months ago
- Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model☆70Updated 2 years ago
- Code and Data for "Long-context LLMs Struggle with Long In-context Learning" [TMLR2025]☆108Updated 7 months ago
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆69Updated last year
- ☆86Updated 2 years ago
- We have released the code and demo program required for LLM with self-verification☆62Updated last year
- ☆54Updated last year
- An open-source library for contamination detection in NLP datasets and Large Language Models (LLMs).☆56Updated last year
- Code for ACL2023 paper: Pre-Training to Learn in Context☆107Updated last year
- Evaluating the Ripple Effects of Knowledge Editing in Language Models☆56Updated last year
- [ICML'2024] Can AI Assistants Know What They Don't Know?☆83Updated last year
- ☆44Updated last year
- Grade-School Math with Irrelevant Context (GSM-IC) benchmark is an arithmetic reasoning dataset built upon GSM8K, by adding irrelevant se…☆62Updated 2 years ago
- Do Large Language Models Know What They Don’t Know?☆99Updated 10 months ago
- ☆41Updated last year
- Official code for "MAmmoTH2: Scaling Instructions from the Web" [NeurIPS 2024]☆148Updated 11 months ago
- ☆102Updated last year
- ☆35Updated last year
- Code for "Small Models are Valuable Plug-ins for Large Language Models"☆131Updated 2 years ago
- [ICLR'24 spotlight] Tool-Augmented Reward Modeling☆51Updated 3 months ago
- Towards Systematic Measurement for Long Text Quality☆37Updated last year
- [AAAI 2025 oral] Evaluating Mathematical Reasoning Beyond Accuracy☆69Updated 9 months ago