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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5026–5050 of 10817 papers

TitleStatusHype
CALOR-QUEST : generating a training corpus for Machine Reading Comprehension models from shallow semantic annotations—0
API-Assisted Code Generation for Question Answering on Varied Table Structures—0
AHP-Powered LLM Reasoning for Multi-Criteria Evaluation of Open-Ended Responses—0
ActiveDPO: Active Direct Preference Optimization for Sample-Efficient Alignment—0
Abduction of Domain Relationships from Data for VQA—0
Entity Resolution and Federated Learning get a Federated Resolution—0
CALM: Unleashing the Cross-Lingual Self-Aligning Ability of Language Model Question Answering—0
Entity Linking Meets Deep Learning: Techniques and Solutions—0
Entity-Focused Dense Passage Retrieval for Outside-Knowledge Visual Question Answering—0
APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing—0
Entity/Event-Level Sentiment Detection and Inference—0
Entity based Q\&A Retrieval—0
CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation—0
A High Precision Pipeline for Financial Knowledge Graph Construction—0
Dynamic Retrieval-Augmented Generation—0
Calibration of Machine Reading Systems at Scale—0
Enter the Mind Palace: Reasoning and Planning for Long-term Active Embodied Question Answering—0
ENTER: Event Based Interpretable Reasoning for VideoQA—0
Calibration of Machine Reading Systems at Scale—0
"A Passage to India": Pre-trained Word Embeddings for Indian Languages—0
Calibrating Uncertainty Quantification of Multi-Modal LLMs using Grounding—0
Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning—0
Ensembling Strategies for Answering Natural Questions—0
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes—0
``A Passage to India'': Pre-trained Word Embeddings for Indian Languages—0
Show:102550
← PrevPage 202 of 433Next →
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