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40 papers · 2020–2026 · 15 conferences · across top CS/AI conferences
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Research topics
Keywords
mutual information
(6)
transductive inference
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few-shot learning
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text classification
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disentangled representation
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out-of-distribution detection
(3)
unsupervised learning
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summarization evaluation
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representation learning
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fair classification
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rational speech act
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pragmatic reasoning
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zero-shot detection
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information theory
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domain adaptation
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optimal transport
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variational inference
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semantic segmentation
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text generation
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renyi divergence
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Papers
QueStER: Query Specification for Generative Keyword-Based Retrieval
EACL 2026
(RSA)Β²: A Rhetorical-Strategy-Aware Rational Speech Act Framework for Figurative Language Understanding
ACL 2025
Statistical Deficiency for Task Inclusion Estimation
ACL 2025
Collaborative Rational Speech Act: Pragmatic Reasoning for Multi-Turn Dialog
EMNLP 2025
Fundamental Limits of Membership Inference Attacks on Machine Learning Models
JMLR 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
How Sampling Affects the Detectability of Machine-written texts: A Comprehensive Study
EMNLP 2025
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection
ICLR 2024
Beyond the Norms: Detecting Prediction Errors in Regression Models
ICML 2024
Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection
AAAI 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
When is an Embedding Model More Promising than Another?
NIPS 2024
The Glass Ceiling of Automatic Evaluation in Natural Language Generation
AACL 2023
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models
EMNLP 2023
RainProof: An Umbrella to Shield Text Generator from Out-Of-Distribution Data
EMNLP 2023
A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification
IJCNLP 2023
Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation
ACL 2023
Toward Stronger Textual Attack Detectors
EMNLP 2023
A Novel Information Theoretic Objective to Disentangle Representations for Fair Classification
AACL 2023
Open-Set Likelihood Maximization for Few-Shot Learning
CVPR 2023
The Glass Ceiling of Automatic Evaluation in Natural Language Generation
IJCNLP 2023
On the Impossibility of Non-trivial Accuracy in Presence of Fairness Constraints
AAAI 2022
A Differential Entropy Estimator for Training Neural Networks
ICML 2022
InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation
AAAI 2022
Leveraging Adversarial Examples To Quantify Membership Information Leakage
CVPR 2022
Igeood: An Information Geometry Approach to Out-of-Distribution Detection
ICLR 2022
Learning Disentangled Textual Representations via Statistical Measures of Similarity
ACL 2022
Beyond Mahalanobis Distance for Textual OOD Detection
NIPS 2022
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?
CVPR 2021
DOCTOR: A Simple Method for Detecting Misclassification Errors
NIPS 2021
Realistic evaluation of transductive few-shot learning
NIPS 2021
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
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations
IJCNLP 2021
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses
ECCV 2020
On Direct Distribution Matching for Adapting Segmentation Networks
MIDL 2020
Information Maximization for Few-Shot Learning
NIPS 2020