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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 301–350 of 796 papers

TitleStatusHype
Optimizing Multi-Taper Features for Deep Speaker Verification—0
REAL-M: Towards Speech Separation on Real MixturesCode0
More Efficient Exploration with Symbolic Priors on Action Sequence Equivalences—0
Result Diversification by Multi-objective Evolutionary Algorithms with Theoretical GuaranteesCode0
Open Domain Question Answering with A Unified Knowledge InterfaceCode1
Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals—0
Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and RetrainingCode1
Generated Knowledge Prompting for Commonsense ReasoningCode1
SoGCN: Second-Order Graph Convolutional NetworksCode0
Rethinking Supervised Pre-training for Better Downstream Transferring—0
A Few More Examples May Be Worth Billions of ParametersCode1
A Model Selection Approach for Corruption Robust Reinforcement Learning—0
Noisy Text Data: Achilles' Heel of popular transformer based NLP models—0
LexGLUE: A Benchmark Dataset for Legal Language Understanding in EnglishCode1
Attention module improves both performance and interpretability of 4D fMRI decoding neural network—0
Boosting the Confidence of Near-Tight Generalization Bounds for Uniformly Stable Randomized Algorithms—0
Efficient Bi-level Optimization for Non-smooth Optimization—0
Better state exploration using action sequence equivalence—0
Information-Aware Time Series Meta-Contrastive Learning—0
GreaseLM: Graph REASoning Enhanced Language Models—0
Learning Neural Implicit Functions as Object Representations for Robotic Manipulation—0
Radical pairs may play a role in microtubule reorganization—0
Superquadric Object Representation for Optimization-based Semantic SLAM—0
RSI-Net: Two-Stream Deep Neural Network for Remote Sensing Imagesbased Semantic Segmentation—0
Local Augmentation for Graph Neural NetworksCode1
Is Machine Learning Ready for Traffic Engineering Optimization?Code1
Tracing Source Language Interference in Translation with Graph-Isomorphism Measures—0
What do pre-trained code models know about code?Code1
Integrating Transductive And Inductive Embeddings Improves Link Prediction Accuracy—0
EKTVQA: Generalized use of External Knowledge to empower Scene Text in Text-VQA—0
Mounting Video Metadata on Transformer-based Language Model for Open-ended Video Question Answering—0
Optimal Transport for Unsupervised Denoising LearningCode1
Predicting Zip Code-Level Vaccine Hesitancy in US Metropolitan Areas Using Machine Learning Models on Public Tweets—0
Simultaneously Self-Attending to Text and Entities for Knowledge-Informed Text Representations—0
AND does not mean OR: Using Formal Languages to Study Language Models' Representations—0
What do neuroanatomical networks reveal about the ontology of human cognitive abilities?—0
Learned Sorted Table Search and Static Indexes in Small Model SpaceCode0
Single Pass Entrywise-Transformed Low Rank Approximation—0
Near-Optimal Algorithms for Linear Algebra in the Current Matrix Multiplication Time—0
Continuous vs. Discrete Optimization of Deep Neural NetworksCode0
Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning for Reliable Simulator-Based InferenceCode1
MD-split+: Practical Local Conformal Inference in High Dimensions—0
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space—0
A Note on Utility Maximization with Proportional Transaction Costs and Stability of Optimal Portfolios—0
Explanation-Guided Diagnosis of Machine Learning Evasion Attacks—0
In-distribution adversarial attacks on object recognition models using gradient-free searchCode0
The Convergence Rate of SGD's Final Iterate: Analysis on Dimension Dependence—0
Nonparametric estimation of continuous DPPs with kernel methodsCode0
Sparsistent Model DiscoveryCode0
Towards a Query-Optimal and Time-Efficient Algorithm for Clustering with a Faulty Oracle—0
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