Skip to content
conftrace_

data contamination

79 papers

Papers

Improving Model Evaluation using SMART Filtering of Benchmark Datasets NAACL 2025 Infilling Score: A Pretraining Data Detection Algorithm for Large Language Models ICLR 2025 Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models NAACL 2025 In Search of Forgotten Domain Generalization ICLR 2025 LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code ICLR 2025 LLM-as-an-Interviewer: Beyond Static Testing Through Dynamic LLM Evaluation ACL 2025 LNE-Blocking: An Efficient Framework for Contamination Mitigation Evaluation on Large Language Models EMNLP 2025 Min-K%++: Improved Baseline for Pre-Training Data Detection from Large Language Models ICLR 2025 QualBench: Benchmarking Chinese LLMs with Localized Professional Qualifications for Vertical Domain Evaluation EMNLP 2025 SWE-MERA: A Dynamic Benchmark for Agenticly Evaluating Large Language Models on Software Engineering Tasks EMNLP 2025 Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle Challenges COLING 2025 Training on the Test Task Confounds Evaluation and Emergence ICLR 2025 TripleFact: Defending Data Contamination in the Evaluation of LLM-driven Fake News Detection ACL 2025 UnSeenTimeQA: Time-Sensitive Question-Answering Beyond LLMs’ Memorization ACL 2025 User Behavior Prediction as a Generic, Robust, Scalable, and Low-Cost Evaluation Strategy for Estimating Generalization in LLMs ACL 2025 An Open-Source Data Contamination Report for Large Language Models EMNLP 2024 A Taxonomy for Data Contamination in Large Language Models ACL 2024 CLEAN–EVAL: Clean Evaluation on Contaminated Large Language Models NAACL 2024 Competition-Level Problems are Effective LLM Evaluators ACL 2024 Confounders in Instance Variation for the Analysis of Data Contamination ACL 2024 ConStat: Performance-Based Contamination Detection in Large Language Models NeurIPS 2024 DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph NeurIPS 2024 Data Contamination Calibration for Black-box LLMs ACL 2024 Data Contamination Can Cross Language Barriers EMNLP 2024 Data Contamination Report from the 2024 CONDA Shared Task ACL 2024