Latest

• Conformal Language Modeling
• LAIT: Efficient Multi-Segment Encoding in Transformers with Layer-Adjustable Interaction
• PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition
• Conformal Risk Control
• UL2: Unifying Language Learning Paradigms
• Confident Adaptive Language Modeling
• Transformer Memory as a Differentiable Search Index
• Stretching Sentence-pair NLI Models to Reason over Long Documents and Clusters
• Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation
• Conformal Prediction Sets with Limited False Positives
• ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning
• Uncertainty Estimation for Natural Language Processing (Tutorial)
• Robust and Efficient Deep Learning for Misinformation Prevention
• Programming Puzzles
• Consistent Accelerated Inference via Confident Adaptive Transformers
• Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence
• Few-shot Conformal Prediction with Auxiliary Tasks
• Efficient Conformal Prediction via Cascaded Inference with Expanded Admission
• Exploiting Rules to Enhance Machine Learning in Extracting Information From Multi-Institutional Prostate Pathology Reports
• Distilling the Evidence to Augment Fact Verification Models
• The Limitations of Stylometry for Detecting Machine-Generated Fake News
• Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning
• Automatic Fact-guided Sentence Modification
• Towards Debiasing Fact Verification Models
• A Deep Learning Model to Triage Screening Mammograms: A Simulation Study
• Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing
• A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction
• Deep Learning Model to Assess Cancer Risk on the Basis of a Breast MR Image Alone
• Mammographic breast density assessment using deep learning: clinical implementation
• Optical Flow Requires Multiple Strategies (but only one network)