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 7026–7050 of 10817 papers

TitleStatusHype
A Supervised Word Alignment Method based on Cross-Language Span Prediction using Multilingual BERT—0
Hanfu-Bench: A Multimodal Benchmark on Cross-Temporal Cultural Understanding and Transcreation—0
OMoS-QA: A Dataset for Cross-Lingual Extractive Question Answering in a German Migration Context—0
Accelerating Manufacturing Scale-Up from Material Discovery Using Agentic Web Navigation and Retrieval-Augmented AI for Process Engineering Schematics Design—0
On Advances in Text Generation from Images Beyond Captioning: A Case Study in Self-Rationalization—0
Opinion Holder and Target Extraction on Opinion Compounds – A Linguistic Approach—0
Evaluation of ChatGPT on Biomedical Tasks: A Zero-Shot Comparison with Fine-Tuned Generative Transformers—0
On-Demand Distributional Semantic Distance and Paraphrasing—0
On-demand Injection of Lexical Knowledge for Recognising Textual Entailment—0
Handling Multiword Expressions in Causality Estimation—0
OneEncoder: A Lightweight Framework for Progressive Alignment of Modalities—0
Handling Anomalies of Synthetic Questions in Unsupervised Question Answering—0
Hand in Glove: Deep Feature Fusion Network Architectures for Answer Quality Prediction in Community Question Answering—0
HAMMR: HierArchical MultiModal React agents for generic VQA—0
A Supervised Approach for Enriching the Relational Structure of Frame Semantics in FrameNet—0
A Multi-answer Multi-task Framework for Real-world Machine Reading Comprehension—0
Evaluation of medium-large Language Models at zero-shot closed book generative question answering—0
Opinion Mining with Deep Recurrent Neural Networks—0
OneStop QAMaker: Extract Question-Answer Pairs from Text in a One-Stop Approach—0
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering—0
On Evaluating Embedding Models for Knowledge Base Completion—0
On Evaluating the Integration of Reasoning and Action in LLM Agents with Database Question Answering—0
One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations—0
Open-Vocabulary Functional 3D Scene Graphs for Real-World Indoor Spaces—0
ConSens: Assessing context grounding in open-book question answering—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