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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 1–50 of 796 papers

TitleStatusHype
Chain-of-Discussion: A Multi-Model Framework for Complex Evidence-Based Question AnsweringCode4
Leveraging Latent Features for Local ExplanationsCode2
Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs?Code2
Legal Case Document Summarization: Extractive and Abstractive Methods and their EvaluationCode2
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-trainingCode2
M2I: From Factored Marginal Trajectory Prediction to Interactive PredictionCode2
Neptune: The Long Orbit to Benchmarking Long Video UnderstandingCode2
GreaseLM: Graph REASoning Enhanced Language Models for Question AnsweringCode2
Language Models Can See: Plugging Visual Controls in Text GenerationCode2
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language ModelsCode2
Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam GenerationCode2
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax DiseasesCode1
Improving the Efficiency and Robustness of Deepfakes Detection through Precise Geometric FeaturesCode1
Improving Passage Retrieval with Zero-Shot Question GenerationCode1
Homomorphism Autoencoder -- Learning Group Structured Representations from Observed TransitionsCode1
Asymmetric Gained Deep Image Compression With Continuous Rate AdaptationCode1
Hybrid Task Cascade for Instance SegmentationCode1
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image VotesCode1
Attention-guided Context Feature Pyramid Network for Object DetectionCode1
Robust Optimization as Data Augmentation for Large-scale GraphsCode1
Few-Sample Traffic Prediction with Graph Networks using Locale as Relational Inductive BiasesCode1
Generated Knowledge Prompting for Commonsense ReasoningCode1
CoSCL: Cooperation of Small Continual Learners is Stronger than a Big OneCode1
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture SearchCode1
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud RegistrationCode1
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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