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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 176–200 of 796 papers

TitleStatusHype
Neuro-symbolic computing with spiking neural networksCode1
Homomorphism Autoencoder -- Learning Group Structured Representations from Observed TransitionsCode1
Leveraging Natural Supervision for Language Representation Learning and GenerationCode1
Online Lewis Weight Sampling—0
Online Prediction in Sub-linear Space—0
CoSCL: Cooperation of Small Continual Learners is Stronger than a Big OneCode1
On Merging Feature Engineering and Deep Learning for Diagnosis, Risk-Prediction and Age Estimation Based on the 12-Lead ECG—0
Synergy and Symmetry in Deep Learning: Interactions between the Data, Model, and Inference Algorithm—0
Cross-Lingual QA as a Stepping Stone for Monolingual Open QA in Icelandic—0
The Parallelism Tradeoff: Limitations of Log-Precision Transformers—0
Incorporating Centering Theory into Neural Coreference ResolutionCode0
Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting—0
Optimizing Video Prediction via Video Frame InterpolationCode1
Tackling Spoofing-Aware Speaker Verification with Multi-Model Fusion—0
Learning to Rank Rationales for Explainable RecommendationCode0
When Does Adaptivity Help for Quantum State Learning?—0
A general approximation lower bound in L^p norm, with applications to feed-forward neural networks—0
Clustering with Queries under Semi-Random Noise—0
Learning to generate imaginary tasks for improving generalization in meta-learning—0
Benchmarking Bayesian neural networks and evaluation metrics for regression tasks—0
Scaling laws in global corporations as a benchmarking approach to assess environmental performance—0
Is Mapping Necessary for Realistic PointGoal Navigation?Code1
Nearly Optimal Best-of-Both-Worlds Algorithms for Online Learning with Feedback Graphs—0
Reflections on 30 Years of Language Resource Development and Sharing—0
Split-kl and PAC-Bayes-split-kl Inequalities for Ternary Random VariablesCode1
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