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 5051–5075 of 10817 papers

TitleStatusHype
Improving Lexical Embeddings for Robust Question Answering—0
Is Relevance Propagated from Retriever to Generator in RAG?—0
Is Retriever Merely an Approximator of Reader?—0
Improving Legal Information Retrieval by Distributional Composition with Term Order Probabilities—0
CoTAR: Chain-of-Thought Attribution Reasoning with Multi-level Granularity—0
Improving Large-Scale Fact-Checking using Decomposable Attention Models and Lexical Tagging—0
Is Summary Useful or Not? An Extrinsic Human Evaluation of Text Summaries on Downstream Tasks—0
Is Table Retrieval a Solved Problem? Exploring Join-Aware Multi-Table Retrieval—0
Attention-based Pairwise Multi-Perspective Convolutional Neural Network for Answer Selection in Question Answering—0
Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions—0
"Is This It?": Towards Ecologically Valid Benchmarks for Situated Collaboration—0
Is This Just Fantasy? Language Model Representations Reflect Human Judgments of Event Plausibility—0
Cost-efficient Knowledge-based Question Answering with Large Language Models—0
Iterated learning for emergent systematicity in VQA—0
Improving Knowledge Base Construction from Robust Infobox Extraction—0
Cost-Adaptive Recourse Recommendation by Adaptive Preference Elicitation—0
Attention-based model for predicting question relatedness on Stack Overflow—0
Iterative Multi-document Neural Attention for Multiple Answer Prediction—0
Iterative Scene Graph Generation with Generative Transformers—0
Iterative Utility Judgment Framework via LLMs Inspired by Relevance in Philosophy—0
ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset—0
Improving Implicit Discourse Relation Recognition Through Feature Set Optimization—0
It is AI’s Turn to Ask Human a Question: Question and Answer Pair Generation for Children Storybooks in FairytaleQA Dataset—0
It is AI’s Turn to Ask Humans a Question: Question-Answer Pair Generation for Children’s Story Books—0
Improving Implicit Discourse Relation Recognition with Discourse-specific Word Embeddings—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