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 2751–2775 of 10817 papers

TitleStatusHype
ActiveDPO: Active Direct Preference Optimization for Sample-Efficient Alignment—0
Active entailment encoding for explanation tree construction using parsimonious generation of hard negatives—0
Embedding Methods for Fine Grained Entity Type Classification—0
Embedding NomLex-BR nominalizations into OpenWordnet-PT—0
API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access—0
A Picture May Be Worth a Hundred Words for Visual Question Answering—0
Can a GPT4-Powered AI Agent Be a Good Enough Performance Attribution Analyst?—0
AHP-Powered LLM Reasoning for Multi-Criteria Evaluation of Open-Ended Responses—0
Can a Frozen Pretrained Language Model be used for Zero-shot Neural Retrieval on Entity-centric Questions?—0
CamelEval: Advancing Culturally Aligned Arabic Language Models and Benchmarks—0
A picture is worth a thousand words: Using OpenClipArt library for enriching IndoWordNet—0
CALOR-QUEST : un corpus d'entra\^ et d'\'evaluation pour la compr\'ehension automatique de textes (Machine reading comprehension is a task related to Question-Answering where questions are not generic in scope but are related to a particular document)—0
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
Promotion of Answer Value Measurement with Domain Effects in Community Question Answering Systems—0
Embodied Multimodal Multitask Learning—0
CALM: Unleashing the Cross-Lingual Self-Aligning Ability of Language Model Question Answering—0
APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing—0
A High Precision Pipeline for Financial Knowledge Graph Construction—0
CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation—0
Active Data Curation Effectively Distills Large-Scale Multimodal Models—0
Calibration of Machine Reading Systems at Scale—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
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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