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TitleStatusHype
Reverse Question Answering: Can an LLM Write a Question so Hard (or Bad) that it Can't Answer?Code0
Open (Clinical) LLMs are Sensitive to Instruction PhrasingsCode0
Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local LemmaCode0
Learning Constraints for Structured Prediction Using Rectifier NetworksCode0
Distribution-Free Calibration of Statistical Confidence SetsCode0
Learning Deep Dissipative DynamicsCode0
Two Contrasting Data Annotation Paradigms for Subjective NLP TasksCode0
Automatic Transmission for LLM Tiers: Optimizing Cost and Accuracy in Large Language ModelsCode0
Learning Emphasis Selection for Written Text in Visual Media from Crowd-Sourced Label DistributionsCode0
Learning End-to-End Goal-Oriented Dialog with Multiple AnswersCode0
Distributional robustness of K-class estimators and the PULSECode0
Enhancing Dense Retrievers' Robustness with Group-level ReweightingCode0
Distributionally Robust Recourse ActionCode0
Constraining Generative Models for Engineering Design with Negative DataCode0
Automatic Generation of Word Problems for Academic Education via Natural Language Processing (NLP)Code0
Combining Symbolic Expressions and Black-box Function Evaluations in Neural ProgramsCode0
AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative ApproachCode0
Distributional conformal predictionCode0
Algebra Error Classification with Large Language ModelsCode0
Optimal Bandwidth Choice for Robust Bias Corrected Inference in Regression Discontinuity DesignsCode0
Learning joint reconstruction of hands and manipulated objectsCode0
Revisiting Likelihood-Based Out-of-Distribution Detection by Modeling RepresentationsCode0
Optimal Conformal Prediction under Epistemic UncertaintyCode0
A disjunctive cut strengthening technique for convex MINLPCode0
Discrete Object Generation with Reversible Inductive ConstructionCode0
Discovering Ancestral Instrumental Variables for Causal Inference from Observational DataCode0
Learning Nearest Neighbor Graphs from Noisy Distance SamplesCode0
Direct Encoding of Declare Constraints in ASPCode0
A Deep Discontinuity-Preserving Image Registration NetworkCode0
A Large Dimensional Study of Regularized Discriminant Analysis ClassifiersCode0
Spectral Bias Outside the Training Set for Deep Networks in the Kernel RegimeCode0
Optimal Experimental Design for Staggered RolloutsCode0
Learning Optimal Data Augmentation Policies via Bayesian Optimization for Image Classification TasksCode0
O^2PF: Oversampling via Optimum-Path Forest for Breast Cancer DetectionCode0
A principled framework to assess the information-theoretic fitness of brain functional sub-circuitsCode0
Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving AugmentationCode0
Learning Realistic Joint Space Boundaries for Range of Motion Analysis of Healthy and Impaired Human ArmsCode0
Learning Representations of Instruments for Partial Identification of Treatment EffectsCode0
Learning Representations without Compositional AssumptionsCode0
Text-Transport: Toward Learning Causal Effects of Natural LanguageCode0
Unsupervised Kinematic Motion Detection for Part-segmented 3D Shape CollectionsCode0
DINN360: Deformable Invertible Neural Network for Latitude-Aware 360deg Image RescalingCode0
Combining Evidence Across FiltrationsCode0
A Chinese Dataset with Negative Full Forms for General Abbreviation PredictionCode0
Optimal Recovery from Inaccurate Data in Hilbert Spaces: Regularize, but what of the Parameter?Code0
Learning the Regularization Strength for Deep Fine-Tuning via a Data-Emphasized Variational ObjectiveCode0
Modeling Disclosive Transparency in NLP Application DescriptionsCode0
Learning to Characterize Matching ExpertsCode0
Towards a Perspectivist Turn in Argument Quality AssessmentCode0
Learning to Compose: Improving Object Centric Learning by Injecting CompositionalityCode0
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