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 8351–8400 of 10817 papers

TitleStatusHype
Science Question Answering using Instructional Materials—0
RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge—0
Generating Syntactic Paraphrases—0
Robust Question Answering Through Sub-part Alignment—0
Robust Training for Conversational Question Answering Models with Reinforced Reformulation Generation—0
Robust Visual Question Answering: Datasets, Methods, and Future Challenges—0
Robust Visual Reasoning via Language Guided Neural Module Networks—0
Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence—0
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering—0
Role play-based question-answering by real users for building chatbots with consistent personalities—0
Romanian TimeBank: An Annotated Parallel Corpus for Temporal Information—0
Generating Extractive Summaries of Scientific Paradigms—0
RoseRAG: Robust Retrieval-augmented Generation with Small-scale LLMs via Margin-aware Preference Optimization—0
Rhetorical relations markers in Russian RST Treebank—0
RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering—0
ALS at IJCNLP-2017 Task 5: Answer Localization System for Multi-Choice Question Answering in Exams—0
Generating Explanations in Medical Question-Answering by Expectation Maximization Inference over Evidence—0
Combining Impression Feature Representation for Multi-turn Conversational Question Answering—0
ReXVQA: A Large-scale Visual Question Answering Benchmark for Generalist Chest X-ray Understanding—0
``Look, some Green Circles!'': Learning to Quantify from Images—0
Generating Dialogue Agents via Automated Planning—0
Rewriting Conversational Utterances with Instructed Large Language Models—0
RS-MoE: Mixture of Experts for Remote Sensing Image Captioning and Visual Question Answering—0
RS-RAG: Bridging Remote Sensing Imagery and Comprehensive Knowledge with a Multi-Modal Dataset and Retrieval-Augmented Generation Model—0
Combining Heterogeneous Models for Measuring Relational Similarity—0
ReWind: Understanding Long Videos with Instructed Learnable Memory—0
Revolutionizing Retrieval-Augmented Generation with Enhanced PDF Structure Recognition—0
RSVQA: Visual Question Answering for Remote Sensing Data—0
Combining dependency information and generalization in a pattern-based approach to the classification of lexical-semantic relation instances—0
Generating clickbait spoilers with an ensemble of large language models—0
Ask Your Neurons: A Neural-based Approach to Answering Questions about Images—0
Generating Answering Patterns from Factoid Arabic Questions—0
Combining Deep Neural Reranking and Unsupervised Extraction for Multi-Query Focused Summarization—0
Revisiting the Superficial Alignment Hypothesis—0
Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer—0
RubyStar: A Non-Task-Oriented Mixture Model Dialog System—0
Rule-Based Semantic Tagging. An Application Undergoing Dictionary Glosses—0
Rule Extraction for Tree-to-Tree Transducers by Cost Minimization—0
Generating Answer Candidates for Quizzes and Answer-Aware Question Generators—0
SberQuAD -- Russian Reading Comprehension Dataset: Description and Analysis—0
Ruminating Reader: Reasoning with Gated Multi-Hop Attention—0
Generative Long-form Question Answering: Relevance, Faithfulness and Succinctness—0
Scalable Neural Theorem Proving on Knowledge Bases and Natural Language—0
Revisiting the Open-Domain Question Answering Pipeline—0
Revisiting the Evaluation of Theory of Mind through Question Answering—0
Development of an Extractive Clinical Question Answering Dataset with Multi-Answer and Multi-Focus Questions—0
Generate, Transform, Answer: Question Specific Tool Synthesis for Tabular Data—0
Revisiting the Evaluation for Cross Document Event Coreference—0
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge—0
Combined Distributional and Logical Semantics—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