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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
Neptune: The Long Orbit to Benchmarking Long Video UnderstandingCode2
Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam GenerationCode2
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language ModelsCode2
Legal Case Document Summarization: Extractive and Abstractive Methods and their EvaluationCode2
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-trainingCode2
Language Models Can See: Plugging Visual Controls in Text GenerationCode2
M2I: From Factored Marginal Trajectory Prediction to Interactive PredictionCode2
GreaseLM: Graph REASoning Enhanced Language Models for Question AnsweringCode2
Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs?Code2
Leveraging Latent Features for Local ExplanationsCode2
O^2-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question AnsweringCode1
Ranked Voting based Self-Consistency of Large Language ModelsCode1
FSPO: Few-Shot Preference Optimization of Synthetic Preference Data in LLMs Elicits Effective Personalization to Real UsersCode1
LLaSA: A Multimodal LLM for Human Activity Analysis Through Wearable and Smartphone SensorsCode1
SCAR: Efficient Instruction-Tuning for Large Language Models via Style Consistency-Aware Response RankingCode1
SciQAG: A Framework for Auto-Generated Science Question Answering Dataset with Fine-grained EvaluationCode1
BiMediX: Bilingual Medical Mixture of Experts LLMCode1
On Early Detection of Hallucinations in Factual Question AnsweringCode1
PRD: Peer Rank and Discussion Improve Large Language Model based EvaluationsCode1
Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous TuningCode1
mPLM-Sim: Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language ModelsCode1
When should we prefer Decision Transformers for Offline Reinforcement Learning?Code1
Improving Implicit Feedback-Based Recommendation through Multi-Behavior AlignmentCode1
Masked Structural Growth for 2x Faster Language Model Pre-trainingCode1
Time Series Contrastive Learning with Information-Aware AugmentationsCode1
SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained ModelCode1
Cross-modal Contrastive Learning for Multimodal Fake News DetectionCode1
Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the LeastCode1
Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question AnsweringCode1
FGAHOI: Fine-Grained Anchors for Human-Object Interaction DetectionCode1
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud RegistrationCode1
Large Language Models Encode Clinical KnowledgeCode1
Training language models to summarize narratives improves brain alignmentCode1
Does CLIP Bind Concepts? Probing Compositionality in Large Image ModelsCode1
Instance Segmentation for Chinese Character Stroke Extraction, Datasets and BenchmarksCode1
OpenCQA: Open-ended Question Answering with ChartsCode1
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-TrainingCode1
Linearly Mapping from Image to Text SpaceCode1
Benchmarking Compositionality with Formal LanguagesCode1
Semantic Communications with Discrete-time Analog Transmission: A PAPR PerspectiveCode1
Neuro-symbolic computing with spiking neural networksCode1
Homomorphism Autoencoder -- Learning Group Structured Representations from Observed TransitionsCode1
Leveraging Natural Supervision for Language Representation Learning and GenerationCode1
CoSCL: Cooperation of Small Continual Learners is Stronger than a Big OneCode1
Optimizing Video Prediction via Video Frame InterpolationCode1
Is Mapping Necessary for Realistic PointGoal Navigation?Code1
Split-kl and PAC-Bayes-split-kl Inequalities for Ternary Random VariablesCode1
kNN-Prompt: Nearest Neighbor Zero-Shot InferenceCode1
The First Optimal Acceleration of High-Order Methods in Smooth Convex OptimizationCode1
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