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Open-Ended Question Answering

Open-ended questions are defined as those that simply pose the question, without imposing any constraints on the format of the response. This distinguishes them from questions with a predetermined answer format.

Papers

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Showing 751–796 of 796 papers

TitleStatusHype
Path Planning Problems with Side Observations-When Colonels Play Hide-and-SeekCode0
Model Selection in Bayesian Neural Networks via Horseshoe PriorsCode0
Modularity maximisation for graphonsCode0
Encoder-Agnostic Adaptation for Conditional Language GenerationCode0
Monolingual or Multilingual Instruction Tuning: Which Makes a Better AlpacaCode0
Sparsistent Model DiscoveryCode0
Towards Hyperparameter-free Policy Selection for Offline Reinforcement LearningCode0
Speaking the Language of Your Listener: Audience-Aware Adaptation via Plug-and-Play Theory of MindCode0
Double Bubble, Toil and Trouble: Enhancing Certified Robustness through TransitivityCode0
Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-ColoringsCode0
What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions?Code0
Parser Training with Heterogeneous TreebanksCode0
When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLPCode0
Are Representations Built from the Ground Up? An Empirical Examination of Local Composition in Language ModelsCode0
Action Recognition based on Cross-Situational Action-object StatisticsCode0
Evaluating Explanation Methods for Deep Learning in SecurityCode0
Capacity, Bandwidth, and Compositionality in Emergent Language LearningCode0
What Do Adversarially Robust Models Look At?Code0
Downstream Trade-offs of a Family of Text WatermarksCode0
Bridging Cost-sensitive and Neyman-Pearson Paradigms for Asymmetric Binary ClassificationCode0
Near-optimal multiple testing in Bayesian linear models with finite-sample FDR controlCode0
Stable Sample Compression Schemes: New Applications and an Optimal SVM Margin BoundCode0
The Role of Relevance in Fair RankingCode0
Distinguishing Cell Phenotype Using Cell EpigenotypeCode0
Stochastic Stein DiscrepanciesCode0
Stochastic subgradient method converges at the rate O(k^-1/4) on weakly convex functionsCode0
Practical methods for graph two-sample testingCode0
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariatesCode0
An Efficient Method for the Classification of Croplands in Scarce-Label RegionsCode0
Adversaries with Limited Information in the Friedkin--Johnsen ModelCode0
Distilling Knowledge Learned in BERT for Text GenerationCode0
Structured Variational Learning of Bayesian Neural Networks with Horseshoe PriorsCode0
2D-Shapley: A Framework for Fragmented Data ValuationCode0
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear ControlCode0
End-to-End Learning on 3D Protein Structure for Interface PredictionCode0
Predictive World Models from Real-World Partial ObservationsCode0
Think Big, Teach Small: Do Language Models Distil Occam’s Razor?Code0
Benchmarking Model-Based Reinforcement LearningCode0
Think Global, Act Local: Relating DNN generalisation and node-level SNRCode0
A Unified Theory of Diversity in Ensemble LearningCode0
Understanding the Impact of Adversarial Robustness on Accuracy DisparityCode0
Nonparametric estimation of continuous DPPs with kernel methodsCode0
PRIV-QA: Privacy-Preserving Question Answering for Cloud Large Language ModelsCode0
Deep Learning for Large-Scale Traffic-Sign Detection and RecognitionCode0
Obtaining Adjustable Regularization for Free via Iterate AveragingCode0
Augmenting Neural Networks with First-order LogicCode0
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