ground truth

Assessing the Quality of 3D Reconstruction in the Absence of Ground Truth: Application to a Multimodal Archaeological Dataset WACV 2025 Discrete Distribution Networks ICLR 2025 Limits to scalable evaluation at the frontier: LLM as judge won’t beat twice the data ICLR 2025 M³GQA: A Multi-Entity Multi-Hop Multi-Setting Graph Question Answering Benchmark ACL 2025 Med-CoDE: Medical Critique based Disagreement Evaluation Framework NAACL 2025 Robust ML Auditing using Prior Knowledge ICML 2025 Sanity Checking Causal Representation Learning on a Simple Real-World System ICML 2025 Single Ground Truth Is Not Enough: Adding Flexibility to Aspect-Based Sentiment Analysis Evaluation NAACL 2025 causalAssembly: Generating Realistic Production Data for Benchmarking Causal Discovery CLeaR 2024 CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM NeurIPS 2024 Learnability Matters: Active Learning for Video Captioning NeurIPS 2024 Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning ICML 2024 MCD: Diverse Large-Scale Multi-Campus Dataset for Robot Perception CVPR 2024 NumberLie: a game-based experiment to understand the acoustics of deception and truthfulness Interspeech 2024 Online Algorithms with Uncertainty-Quantified Predictions ICML 2024 Ranking Large Language Models without Ground Truth ACL 2024 Re-DiffiNet: Modeling discrepancy in tumor segmentation using diffusion models MIDL 2024 MobileBrick: Building LEGO for 3D Reconstruction on Mobile Devices CVPR 2023 Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing ICML 2023 An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity AAAI 2022 Challenges in Metadata Creation for Massive Naturalistic Team-Based Audio Data Interspeech 2022 Do Feature Attribution Methods Correctly Attribute Features? AAAI 2022 Open Challenges in Deep Stereo: The Booster Dataset CVPR 2022 Posthoc Verification and the Fallibility of the Ground Truth NAACL 2022 The “Problem” of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation EMNLP 2022