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 201–225 of 796 papers

Title	Date	Tasks	Status	Score
Distilling Knowledge Learned in BERT for Text Generation	Nov 10, 2019	Language ModelingLanguage Modelling	CodeCode Available	5
Distinguishing Cell Phenotype Using Cell Epigenotype	Mar 20, 2020	DiversityOpen-Ended Question Answering	CodeCode Available	5
Rethinking the Role of Gradient-Based Attribution Methods for Model Interpretability	Jun 16, 2020	Open-Ended Question Answering	CodeCode Available	5
Results of a Single Blind Literary Taste Test with Short Anonymized Novel Fragments	Nov 3, 2020	BIG-bench Machine LearningOpen-Ended Question Answering	CodeCode Available	5
Full-Capacity Unitary Recurrent Neural Networks	Oct 31, 2016	Open-Ended Question AnsweringSequential Image Classification	CodeCode Available	5
Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction	Jun 28, 2018	compressed sensingMRI Reconstruction	CodeCode Available	5
Capacity, Bandwidth, and Compositionality in Emergent Language Learning	Oct 24, 2019	Open-Ended Question AnsweringSystematic Generalization	CodeCode Available	5
Simple Search Algorithms on Semantic Networks Learned from Language Use	Feb 10, 2016	Open-Ended Question AnsweringRetrieval	CodeCode Available	5
An Efficient Method for the Classification of Croplands in Scarce-Label Regions	Mar 17, 2021	ClassificationDomain Adaptation	CodeCode Available	5
2D-Shapley: A Framework for Fragmented Data Valuation	Jun 18, 2023	counterfactualData Valuation	CodeCode Available	5
Extrinsic Evaluation of Cultural Competence in Large Language Models	Jun 17, 2024	Open-Ended Question AnsweringQuestion Answering	CodeCode Available	5
Evaluating the Elementary Multilingual Capabilities of Large Language Models with MultiQ	Mar 6, 2024	Open-Ended Question AnsweringQuestion Answering	CodeCode Available	5
SoGCN: Second-Order Graph Convolutional Networks	Oct 14, 2021	Graph ClassificationGraph Regression	CodeCode Available	5
Sparsistent Model Discovery	Jun 22, 2021	modelModel Discovery	CodeCode Available	5
AutoRL Hyperparameter Landscapes	Apr 5, 2023	AutoMLHyperparameter Optimization	CodeCode Available	5
Stochastic Stein Discrepancies	Jul 6, 2020	Open-Ended Question Answering	CodeCode Available	5
Action Recognition based on Cross-Situational Action-object Statistics	Aug 15, 2022	Action RecognitionObject	CodeCode Available	5
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors	Jun 13, 2018	Model SelectionOpen-Ended Question Answering	CodeCode Available	5
Encoder-Agnostic Adaptation for Conditional Language Generation	Aug 19, 2019	Conditional Text GenerationLanguage Modeling	CodeCode Available	5
Evaluating and Characterizing Human Rationales	Oct 9, 2020	Open-Ended Question Answering	CodeCode Available	5
The Effects of Skin Lesion Segmentation on the Performance of Dermatoscopic Image Classification	Aug 28, 2020	Binary ClassificationClassification	CodeCode Available	5
Dynamics of specialization in neural modules under resource constraints	Jun 4, 2021	BIG-bench Machine LearningOpen-Ended Question Answering	CodeCode Available	5
Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image Compositing	Oct 17, 2020	Autonomous DrivingBayesian Optimization	CodeCode Available	5
Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks	Apr 8, 2023	FairnessOpen-Ended Question Answering	CodeCode Available	5
An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression	Mar 28, 2019	Open-Ended Question Answeringregression	—Unverified	0

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