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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 151–200 of 796 papers

TitleStatusHype
On the Benefit of Combining Neural, Statistical and External Features for Fake News IdentificationCode0
Nonparametric estimation of continuous DPPs with kernel methodsCode0
Near-optimal multiple testing in Bayesian linear models with finite-sample FDR controlCode0
Modularity maximisation for graphonsCode0
Deep learning-based electroencephalography analysis: a systematic reviewCode0
Maximizing Communication Efficiency for Large-scale Training via 0/1 AdamCode0
Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in BanditsCode0
A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural NetworksCode0
Monolingual or Multilingual Instruction Tuning: Which Makes a Better AlpacaCode0
Data-Efficient Training of CNNs and Transformers with Coresets: A Stability PerspectiveCode0
A Revenue Function for Comparison-Based Hierarchical ClusteringCode0
Are Representations Built from the Ground Up? An Empirical Examination of Local Composition in Language ModelsCode0
CulFiT: A Fine-grained Cultural-aware LLM Training Paradigm via Multilingual Critique Data SynthesisCode0
Learning to Rank Rationales for Explainable RecommendationCode0
Learning Representations for Time Series ClusteringCode0
Learning Theory for Distribution RegressionCode0
Last-Layer Fairness Fine-tuning is Simple and Effective for Neural NetworksCode0
Learned Sorted Table Search and Static Indexes in Small Model SpaceCode0
Data-Centric Green AI: An Exploratory Empirical StudyCode0
Langevin DQNCode0
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document UnderstandingCode0
Adversaries with Limited Information in the Friedkin--Johnsen ModelCode0
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language ModelsCode0
OPIEC: An Open Information Extraction CorpusCode0
Convolutional Analysis Operator Learning: Dependence on Training DataCode0
Incorporating Centering Theory into Neural Coreference ResolutionCode0
Continuous vs. Discrete Optimization of Deep Neural NetworksCode0
An Open-Source Framework for Adaptive Traffic Signal ControlCode0
A Nonlinear Observability Analysis of Ambient Wind Estimation with Uncalibrated Sensors, Inspired by Insect Neural EncodingCode0
Mapper Comparison with Wasserstein MetricsCode0
Deep Learning for Large-Scale Traffic-Sign Detection and RecognitionCode0
Model Selection in Bayesian Neural Networks via Horseshoe PriorsCode0
Importance of Search and Evaluation Strategies in Neural Dialogue ModelingCode0
Is Deeper Better only when Shallow is Good?Code0
How intelligence can change the course of evolutionCode0
A Bayesian Evaluation Framework for Subjectively Annotated Visual Recognition TasksCode0
gradSLAM: Automagically differentiable SLAMCode0
An Event-Driven Approach for Studying Gene Block Evolution in BacteriaCode0
FENCE: Feasible Evasion Attacks on Neural Networks in Constrained EnvironmentsCode0
On the Impossibility of Global Convergence in Multi-Loss OptimizationCode0
Combining Learned and Analytical Models for Predicting Action Effects from Sensory DataCode0
Rethinking the Role of Gradient-Based Attribution Methods for Model InterpretabilityCode0
Implicit Regularization in Deep Learning May Not Be Explainable by NormsCode0
Path Planning Problems with Side Observations-When Colonels Play Hide-and-SeekCode0
Full-Capacity Unitary Recurrent Neural NetworksCode0
Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image CompositingCode0
Extrinsic Evaluation of Cultural Competence in Large Language ModelsCode0
Dynamics of specialization in neural modules under resource constraintsCode0
Adversarial and Perceptual Refinement for Compressed Sensing MRI ReconstructionCode0
Geolocating Political Events in TextCode0
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