SOTAVerified

Question Answering

Question answering can be segmented into domain-specific tasks like community question answering and knowledge-base question answering. Popular benchmark datasets for evaluation question answering systems include SQuAD, HotPotQA, bAbI, TriviaQA, WikiQA, and many others. Models for question answering are typically evaluated on metrics like EM and F1. Some recent top performing models are T5 and XLNet.

( Image credit: SQuAD )

Papers

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Showing 4651–4700 of 10817 papers

TitleStatusHype
Adaptable Text Matching via Meta-Weight Regulator—0
Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions—0
Exploring the Feasibility of ChatGPT for Event Extraction—0
Challenges in Generalization in Open Domain Question Answering—0
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models—0
Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning? An Extensive Investigation into the Capabilities and Limitations of LVLMs—0
Exploring the Effectiveness of GPT Models in Test-Taking: A Case Study of the Driver's License Knowledge Test—0
Exploring the Effectiveness of Convolutional Neural Networks for Answer Selection in End-to-End Question Answering—0
Challenges for Information Extraction from Dialogue in Criminal Law—0
Exploring the BERT Cross-Lingual Transferability: a Case Study in Reading Comprehension—0
Are Large Language Models Reliable Judges? A Study on the Factuality Evaluation Capabilities of LLMs—0
A Large Batch Optimizer Reality Check: Traditional, Generic Optimizers Suffice Across Batch Sizes—0
Exploring Temporal Vagueness with Mechanical Turk—0
Exploring Spatial Language Grounding Through Referring Expressions—0
Challenge Closed-book Science Exam: A Meta-learning Based Question Answering System—0
Exploring Sparse Spatial Relation in Graph Inference for Text-Based VQA—0
Exploring Question Understanding and Adaptation in Neural-Network-Based Question Answering—0
Chain of Thought Prompt Tuning in Vision Language Models—0
A Large Automatically-Acquired All-Words List of Multiword Expressions Scored for Compositionality—0
Adaptable and Interpretable Neural MemoryOver Symbolic Knowledge—0
Exploring Question Decomposition for Zero-Shot VQA—0
Exploring Neural Net Augmentation to BERT for Question Answering on SQUAD 2.0—0
Exploring Markov Logic Networks for Question Answering—0
Explicit Utilization of General Knowledge in Machine Reading Comprehension—0
Chain-of-Retrieval Augmented Generation—0
Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?—0
Exploring Knowledge Boundaries in Large Language Models for Retrieval Judgment—0
Chain of Reasoning for Visual Question Answering—0
Exploring Jailbreak Attacks on LLMs through Intent Concealment and Diversion—0
Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text—0
Chain-of-Questions Training with Latent Answers for Robust Multistep Question Answering—0
Exploring Hybrid Question Answering via Program-based Prompting—0
Exploring Human-like Attention Supervision in Visual Question Answering—0
A Reinforcement Learning Framework for Natural Question Generation using Bi-discriminators—0
A Language-independent Approach to Extracting Derivational Relations from an Inflectional Lexicon—0
Exploring Graph-structured Passage Representation for Multi-hop Reading Comprehension with Graph Neural Networks—0
Exploring Fluent Query Reformulations with Text-to-Text Transformers and Reinforcement Learning—0
Exploring Fine-grained Entity Type Constraints for Distantly Supervised Relation Extraction—0
Exploring Embedding Priors in Prompt-Tuning for Improved Interpretability and Control—0
Chain of Condition: Construct, Verify and Solve Conditions for Conditional Question Answering—0
A reinforcement learning approach for VQA validation: an application to diabetic macular edema grading—0
Exploring Diverse Methods in Visual Question Answering—0
Exploring Diverse Expressions for Paraphrase Generation—0
Chain of Agents: Large Language Models Collaborating on Long-Context Tasks—0
A Regularized Competition Model for Question Difficulty Estimation in Community Question Answering Services—0
Exploring BERT Parameter Efficiency on the Stanford Question Answering Dataset v2.0—0
Exploring and Evaluating Personalized Models for Code Generation—0
Chain Based RNN for Relation Classification—0
Can Generative AI Support Patients' & Caregivers' Informational Needs? Towards Task-Centric Evaluation Of AI Systems—0
Exploring Advanced Techniques for Visual Question Answering: A Comprehensive Comparison—0
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All datasetsSQuAD2.0SQuAD1.1HotpotQAPIQABoolQCOPATriviaQASQuAD1.1 devNatural QuestionsOpenBookQATruthfulQAMultiRC

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94—Unverified
2FPNet (ensemble)EM90.87—Unverified
3IE-NetV2 (ensemble)EM90.86—Unverified
4SA-Net on Albert (ensemble)EM90.72—Unverified
5SA-Net-V2 (ensemble)EM90.68—Unverified
6FPNet (ensemble)EM90.6—Unverified
7Retro-Reader (ensemble)EM90.58—Unverified
8EntitySpanFocusV2 (ensemble)EM90.52—Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49—Unverified
10EntitySpanFocus+AT (ensemble)EM90.45—Unverified