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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

Showing 2650 of 796 papers

TitleStatusHype
HEAR: Holistic Evaluation of Audio RepresentationsCode1
Masked Structural Growth for 2x Faster Language Model Pre-trainingCode1
Evidentiality-guided Generation for Knowledge-Intensive NLP TasksCode1
Identifying Learning Rules From Neural Network ObservablesCode1
Improving Implicit Feedback-Based Recommendation through Multi-Behavior AlignmentCode1
FGAHOI: Fine-Grained Anchors for Human-Object Interaction DetectionCode1
GooAQ: Open Question Answering with Diverse Answer TypesCode1
Dissecting graph measure performance for node clustering in LFR parameter spaceCode1
Coresets for Data-efficient Training of Machine Learning ModelsCode1
An Empirical Study of Representation Learning for Reinforcement Learning in HealthcareCode1
Discovering Reinforcement Learning AlgorithmsCode1
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity RecognitionCode1
Online Class-Incremental Continual Learning with Adversarial Shapley ValueCode1
Background Data Resampling for Outlier-Aware ClassificationCode1
Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and RetrainingCode1
A Few More Examples May Be Worth Billions of ParametersCode1
Argument Mining Driven Analysis of Peer-ReviewsCode1
Does CLIP Bind Concepts? Probing Compositionality in Large Image ModelsCode1
Attack of the Tails: Yes, You Really Can Backdoor Federated LearningCode1
Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question AnsweringCode1
FSPO: Few-Shot Preference Optimization of Synthetic Preference Data in LLMs Elicits Effective Personalization to Real UsersCode1
Ranked Voting based Self-Consistency of Large Language ModelsCode1
BiMediX: Bilingual Medical Mixture of Experts LLMCode1
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural NetworksCode1
Cross-modal Contrastive Learning for Multimodal Fake News DetectionCode1
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