model comparison

LLM BiasScope: A Real-Time Bias Analysis Platform for Comparative LLM Evaluation EACL 2026 A Comparative Analysis of Ethical and Safety Gaps in LLMs using Relative Danger Coefficient NAACL 2025 Arena-lite: Efficient and Reliable Large Language Model Evaluation via Tournament-Based Direct Comparisons EMNLP 2025 BehaviorBox: Automated Discovery of Fine-Grained Performance Differences Between Language Models ACL 2025 Can LLMs Rank the Harmfulness of Smaller LLMs? We are Not There Yet ACL 2025 Discriminating image representations with principal distortions ICLR 2025 Error Profiling of Machine Learning Models: An Exploratory Visualization MLHC 2025 Explaining Differences Between Model Pairs in Natural Language through Sample Learning EMNLP 2025 Flaw or Artifact? Rethinking Prompt Sensitivity in Evaluating LLMs EMNLP 2025 HELMET: How to Evaluate Long-context Models Effectively and Thoroughly ICLR 2025 In Benchmarks We Trust ... Or Not? EMNLP 2025 Instance-level Randomization: Toward More Stable LLM Evaluations EMNLP 2025 Language Models can Categorize System Inputs for Performance Analysis NAACL 2025 Less Can be More: An Empirical Evaluation of Small and Large Language Models for Sentence-level Claim Detection ACL 2025 Mapping 1,000+ Language Models via the Log-Likelihood Vector ACL 2025 Multi-centric Comparison of Deep Learning Models for Lesion Detection in Breast MRI MIDL 2025 OLMES: A Standard for Language Model Evaluations NAACL 2025 PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation ICLR 2025 PuerAI at SemEval-2025 Task 9: Research on Food Safety Data Classification Using ModernBERT SemEval 2025 Representational Similarity via Interpretable Visual Concepts ICLR 2025 Specialized Foundation Models Struggle to Beat Supervised Baselines ICLR 2025 What’s the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token Patterns ACL 2025 A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark CVPR 2024 ConStat: Performance-Based Contamination Detection in Large Language Models NeurIPS 2024 GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond NAACL 2024