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QueStER: Query Specification for Generative Keyword-Based Retrieval EACL 2026 Collaborative Rational Speech Act: Pragmatic Reasoning for Multi-Turn Dialog EMNLP 2025 Fundamental Limits of Membership Inference Attacks on Machine Learning Models JMLR 2025 How Sampling Affects the Detectability of Machine-written texts: A Comprehensive Study EMNLP 2025 MOSAIC at GENAI Detection Task 3 : Zero-Shot Detection Using an Ensemble of Models COLING 2025 MOSAIC: Multiple Observers Spotting AI Content ACL 2025 (RSA)²: A Rhetorical-Strategy-Aware Rational Speech Act Framework for Figurative Language Understanding ACL 2025 Statistical Deficiency for Task Inclusion Estimation ACL 2025 A Data-Driven Measure of Relative Uncertainty for Misclassification Detection ICLR 2024 Beyond the Norms: Detecting Prediction Errors in Regression Models ICML 2024 COSMIC: Mutual Information for Task-Agnostic Summarization Evaluation ACL 2024 GLIMPSE: Pragmatically Informative Multi-Document Summarization for Scholarly Reviews ACL 2024 Optimal Zero-Shot Detector for Multi-Armed Attacks AISTATS 2024 Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection AAAI 2024 When is an Embedding Model More Promising than Another? NeurIPS 2024 A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification IJCNLP 2023 Open-Set Likelihood Maximization for Few-Shot Learning CVPR 2023 Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation ACL 2023 RainProof: An Umbrella to Shield Text Generator from Out-Of-Distribution Data EMNLP 2023 The Glass Ceiling of Automatic Evaluation in Natural Language Generation IJCNLP 2023 Toward Stronger Textual Attack Detectors EMNLP 2023 Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models EMNLP 2023 A Differential Entropy Estimator for Training Neural Networks ICML 2022 Beyond Mahalanobis Distance for Textual OOD Detection NeurIPS 2022 Igeood: An Information Geometry Approach to Out-of-Distribution Detection ICLR 2022 InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation AAAI 2022 Learning Disentangled Textual Representations via Statistical Measures of Similarity ACL 2022 Leveraging Adversarial Examples To Quantify Membership Information Leakage CVPR 2022 On the Impossibility of Non-trivial Accuracy in Presence of Fairness Constraints AAAI 2022 A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations ACL 2021 Automatic Text Evaluation through the Lens of Wasserstein Barycenters EMNLP 2021 DOCTOR: A Simple Method for Detecting Misclassification Errors NeurIPS 2021 Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CVPR 2021 Realistic evaluation of transductive few-shot learning NeurIPS 2021 A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses ECCV 2020 Information Maximization for Few-Shot Learning NeurIPS 2020 On Direct Distribution Matching for Adapting Segmentation Networks MIDL 2020