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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
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-trainingCode2
Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs?Code2
Legal Case Document Summarization: Extractive and Abstractive Methods and their EvaluationCode2
Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam GenerationCode2
M2I: From Factored Marginal Trajectory Prediction to Interactive PredictionCode2
Neptune: The Long Orbit to Benchmarking Long Video UnderstandingCode2
Leveraging Latent Features for Local ExplanationsCode2
Language Models Can See: Plugging Visual Controls in Text GenerationCode2
GreaseLM: Graph REASoning Enhanced Language Models for Question AnsweringCode2
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language ModelsCode2
Hybrid Task Cascade for Instance SegmentationCode1
Improving the Efficiency and Robustness of Deepfakes Detection through Precise Geometric FeaturesCode1
Improving Passage Retrieval with Zero-Shot Question GenerationCode1
Asymmetric Gained Deep Image Compression With Continuous Rate AdaptationCode1
GooAQ: Open Question Answering with Diverse Answer TypesCode1
HEAR: Holistic Evaluation of Audio RepresentationsCode1
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image VotesCode1
Dissecting graph measure performance for node clustering in LFR parameter spaceCode1
Evidentiality-guided Generation for Knowledge-Intensive NLP TasksCode1
Cross-modal Contrastive Learning for Multimodal Fake News DetectionCode1
Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and RetrainingCode1
FSPO: Few-Shot Preference Optimization of Synthetic Preference Data in LLMs Elicits Effective Personalization to Real UsersCode1
Generated Knowledge Prompting for Commonsense ReasoningCode1
Graph Neural Network Based Coarse-Grained Mapping PredictionCode1
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax DiseasesCode1
Masked Structural Growth for 2x Faster Language Model Pre-trainingCode1
Homomorphism Autoencoder -- Learning Group Structured Representations from Observed TransitionsCode1
Identifying Learning Rules From Neural Network ObservablesCode1
Improving Implicit Feedback-Based Recommendation through Multi-Behavior AlignmentCode1
Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the LeastCode1
Few-Sample Traffic Prediction with Graph Networks using Locale as Relational Inductive BiasesCode1
Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine SynergyCode1
Attention-guided Context Feature Pyramid Network for Object DetectionCode1
Background Data Resampling for Outlier-Aware ClassificationCode1
BiMediX: Bilingual Medical Mixture of Experts LLMCode1
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity RecognitionCode1
Online Class-Incremental Continual Learning with Adversarial Shapley ValueCode1
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud RegistrationCode1
An Empirical Study of Representation Learning for Reinforcement Learning in HealthcareCode1
A Few More Examples May Be Worth Billions of ParametersCode1
CoSCL: Cooperation of Small Continual Learners is Stronger than a Big OneCode1
Coresets for Data-efficient Training of Machine Learning ModelsCode1
Discovering Reinforcement Learning AlgorithmsCode1
Does CLIP Bind Concepts? Probing Compositionality in Large Image ModelsCode1
DORO: Distributional and Outlier Robust OptimizationCode1
Ranked Voting based Self-Consistency of Large Language ModelsCode1
Robust Optimization as Data Augmentation for Large-scale GraphsCode1
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural NetworksCode1
Argument Mining Driven Analysis of Peer-ReviewsCode1
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