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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 51–100 of 796 papers

TitleStatusHype
Open Question Answering over Tables and TextCode1
Optimal Transport for Unsupervised Denoising LearningCode1
FSPO: Few-Shot Preference Optimization of Synthetic Preference Data in LLMs Elicits Effective Personalization to Real UsersCode1
PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence EmbeddingsCode1
Masked Structural Growth for 2x Faster Language Model Pre-trainingCode1
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAMLCode1
SciQAG: A Framework for Auto-Generated Science Question Answering Dataset with Fine-grained EvaluationCode1
Self-Paced Deep Reinforcement LearningCode1
Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender AssignmentCode1
Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question AnsweringCode1
Split-kl and PAC-Bayes-split-kl Inequalities for Ternary Random VariablesCode1
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural NetworksCode1
Asymmetric Gained Deep Image Compression With Continuous Rate AdaptationCode1
Dissecting graph measure performance for node clustering in LFR parameter spaceCode1
Cross-modal Contrastive Learning for Multimodal Fake News DetectionCode1
CoSCL: Cooperation of Small Continual Learners is Stronger than a Big OneCode1
Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the LeastCode1
Does CLIP Bind Concepts? Probing Compositionality in Large Image ModelsCode1
Coresets for Data-efficient Training of Machine Learning ModelsCode1
Discovering Reinforcement Learning AlgorithmsCode1
An Empirical Study of Representation Learning for Reinforcement Learning in HealthcareCode1
Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and RetrainingCode1
Few-Sample Traffic Prediction with Graph Networks using Locale as Relational Inductive BiasesCode1
FGAHOI: Fine-Grained Anchors for Human-Object Interaction DetectionCode1
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud RegistrationCode1
BiMediX: Bilingual Medical Mixture of Experts LLMCode1
Online Class-Incremental Continual Learning with Adversarial Shapley ValueCode1
GooAQ: Open Question Answering with Diverse Answer TypesCode1
When should we prefer Decision Transformers for Offline Reinforcement Learning?Code1
Hybrid Task Cascade for Instance SegmentationCode1
Improving Implicit Feedback-Based Recommendation through Multi-Behavior AlignmentCode1
Improving Passage Retrieval with Zero-Shot Question GenerationCode1
A Few More Examples May Be Worth Billions of ParametersCode1
Background Data Resampling for Outlier-Aware ClassificationCode1
Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIsCode1
Argument Mining Driven Analysis of Peer-ReviewsCode1
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture SearchCode1
Large Language Models Encode Clinical KnowledgeCode1
Learning to Cluster Faces on an Affinity GraphCode1
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over ModulesCode1
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax DiseasesCode1
Leveraging Natural Supervision for Language Representation Learning and GenerationCode1
Likelihood-Free Frequentist Inference: Bridging Classical Statistics and Machine Learning for Reliable Simulator-Based InferenceCode1
Linearly Mapping from Image to Text SpaceCode1
Ranked Voting based Self-Consistency of Large Language ModelsCode1
Attack of the Tails: Yes, You Really Can Backdoor Federated LearningCode1
DORO: Distributional and Outlier Robust OptimizationCode1
kNN-Prompt: Nearest Neighbor Zero-Shot InferenceCode1
O^2-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question AnsweringCode1
HEAR: Holistic Evaluation of Audio RepresentationsCode1
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