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 2251–2275 of 10817 papers

TitleStatusHype
Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking—0
Co-attentional Transformers for Story-Based Video Understanding—0
All-in-one: Understanding and Generation in Multimodal Reasoning with the MAIA Benchmark—0
Asking questions on handwritten document collections—0
Adaptive Memory Networks—0
Coarse-to-Fine Question Answering for Long Documents—0
Coarse-to-Fine Query Focused Multi-Document Summarization—0
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models—0
Coarse to Fine Grained Sense Disambiguation in Wikipedia—0
Asking More Informative Questions for Grounded Retrieval—0
DH-RAG: A Dynamic Historical Context-Powered Retrieval-Augmented Generation Method for Multi-Turn Dialogue—0
DialDoc 2021 Shared Task: Goal-Oriented Document-grounded Dialogue Modeling—0
Coarse-to-Fine Attention Models for Document Summarization—0
Coarse-to-Careful: Seeking Semantic-related Knowledge for Open-domain Commonsense Question Answering—0
Coarse Lexical Frame Acquisition at the Syntax--Semantics Interface Using a Latent-Variable PCFG Model—0
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering—0
Asking Clarification Questions in Knowledge-Based Question Answering—0
Coarse-grained decomposition and fine-grained interaction for multi-hop question answering—0
Coal Mining Question Answering with LLMs—0
Ask & Explore: Grounded Question Answering for Curiosity-Driven Exploration—0
Abstract Meaning Representation of Constructions: The More We Include, the Better the Representation—0
DGRAG: Distributed Graph-based Retrieval-Augmented Generation in Edge-Cloud Systems—0
CNGL: Grading Student Answers by Acts of Translation—0
CMU LiveMedQA at TREC 2017 LiveQA: A Consumer Health Question Answering System—0
Ask-EDA: A Design Assistant Empowered by LLM, Hybrid RAG and Abbreviation De-hallucination—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