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 8401–8450 of 10817 papers

TitleStatusHype
Rewriting Conversational Utterances with Instructed Large Language Models—0
Commonsense Knowledge in Wikidata—0
SafePath: Conformal Prediction for Safe LLM-Based Autonomous Navigation—0
Generative Relation Linking for Question Answering over Knowledge Bases—0
Combining Heterogeneous Models for Measuring Relational Similarity—0
SC-ML: Self-supervised Counterfactual Metric Learning for Debiased Visual Question Answering—0
SAGAN: A Machine Translation Approach for Cross-Lingual Textual Entailment—0
SAGAN: An approach to Semantic Textual Similarity based on Textual Entailment—0
SConU: Selective Conformal Uncertainty in Large Language Models—0
SAIL: Search-Augmented Instruction Learning—0
ReWind: Understanding Long Videos with Instructed Learnable Memory—0
Salience-Aware Event Chain Modeling for Narrative Understanding—0
Revolutionizing Retrieval-Augmented Generation with Enhanced PDF Structure Recognition—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
Genie: Achieving Human Parity in Content-Grounded Datasets Generation—0
Combining Deep Neural Reranking and Unsupervised Extraction for Multi-Query Focused Summarization—0
Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models—0
Samsung Poland NLP Team at SemEval-2016 Task 1: Necessity for diversity; combining recursive autoencoders, WordNet and ensemble methods to measure semantic similarity.—0
Samsung Research Poland (SRPOL) at SemEval-2022 Task 9: Hybrid Question Answering Using Semantic Roles—0
Revisiting the Superficial Alignment Hypothesis—0
Samvaadhana: A Telugu Dialogue System in Hospital Domain—0
SandboxAQ's submission to MRL 2024 Shared Task on Multi-lingual Multi-task Information Retrieval—0
Sanitizing Synthetic Training Data Generation for Question Answering over Knowledge Graphs—0
Sanity Check: A Strong Alignment and Information Retrieval Baseline for Question Answering—0
Sanskrit Knowledge-based Systems: Annotation and Computational Tools—0
Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer—0
Generating Answer Candidates for Quizzes and Answer-Aware Question Generators—0
SCIR-QA at SemEval-2017 Task 3: CNN Model Based on Similar and Dissimilar Information between Keywords for Question Similarity—0
Revisiting the Open-Domain Question Answering Pipeline—0
Revisiting the Evaluation of Theory of Mind through Question Answering—0
Generate, Transform, Answer: Question Specific Tool Synthesis for Tabular Data—0
Savaal: Scalable Concept-Driven Question Generation to Enhance Human Learning—0
SA-VQA: Structured Alignment of Visual and Semantic Representations for Visual Question Answering—0
Say Less, Mean More: Leveraging Pragmatics in Retrieval-Augmented Generation—0
Geometric Feature Enhanced Knowledge Graph Embedding and Spatial Reasoning—0
SberQuAD -- Russian Reading Comprehension Dataset: Description and Analysis—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
Revisiting Multi-Modal LLM Evaluation—0
Scalable Semantic Parsing with Partial Ontologies—0
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering—0
Adaptive Token Boundaries: Integrating Human Chunking Mechanisms into Multimodal LLMs—0
Revisiting Large Language Models as Zero-shot Relation Extractors—0
Ask to Understand: Question Generation for Multi-hop Question Answering—0
Revisiting EmbodiedQA: A Simple Baseline and Beyond—0
Evidentiality-aware Retrieval for Overcoming Abstractiveness in Open-Domain Question Answering—0
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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