performance evaluation

RoDLA: Benchmarking the Robustness of Document Layout Analysis Models CVPR 2024 Should We Respect LLMs? A Cross-Lingual Study on the Influence of Prompt Politeness on LLM Performance EMNLP 2024 Transcendence: Generative Models Can Outperform The Experts That Train Them NeurIPS 2024 Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance Gaps EMNLP 2024 Unexpected Phenomenon: LLMs’ Spurious Associations in Information Extraction ACL 2024 What is lost in Normalization? Exploring Pitfalls in Multilingual ASR Model Evaluations EMNLP 2024 When ”A Helpful Assistant” Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models EMNLP 2024 Evaluation of a Forensic Automatic Speaker Recognition System with Emotional Speech Recordings Interspeech 2023 On Text-based Personality Computing: Challenges and Future Directions ACL 2023 Evaluation-Oriented Knowledge Distillation for Deep Face Recognition CVPR 2022 HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions NeurIPS 2022 Benchmarking: Past, Present and Future ACL 2021 Out of a Hundred Trials, How Many Errors Does Your Speaker Verifier Make? Interspeech 2021 Evaluating the Performance of Reinforcement Learning Algorithms ICML 2020 Is Big Data Performance Reproducible in Modern Cloud Networks? NSDI 2020 NLPStatTest: A Toolkit for Comparing NLP System Performance AACL 2020 Semantic Complexity in End-to-End Spoken Language Understanding Interspeech 2020 ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models NeurIPS 2019 Performance Evaluation in Machine Learning: The Good, the Bad, the Ugly, and the Way Forward AAAI 2019 An Audio Based Piano Performance Evaluation Method Using Deep Neural Network Based Acoustic Modeling Interspeech 2017 Efficient Benchmarking of NLP APIs using Multi-armed Bandits EACL 2017 Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging EMNLP 2017 Group MAD Competition - A New Methodology to Compare Objective Image Quality Models CVPR 2016 The HCI Stereo Metrics: Geometry-Aware Performance Analysis of Stereo Algorithms ICCV 2015 Online Object Tracking: A Benchmark CVPR 2013