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

Showing 59515975 of 10817 papers

TitleStatusHype
Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database0
COV19IR : COVID-19 Domain Literature Information RetrievalCode0
Toward a Neural Semantic Parsing System for EHR Question Answering0
CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question AnsweringCode0
NAPG: Non-Autoregressive Program Generation for Hybrid Tabular-Textual Question Answering0
Bridging Speech and Textual Pre-trained Models with Unsupervised ASR0
Miko Team: Deep Learning Approach for Legal Question Answering in ALQAC 20220
Measuring Progress on Scalable Oversight for Large Language Models0
How Stable is Knowledge Base Knowledge?0
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models0
Chinese Movie Dialogue Question Answering Dataset0
Leveraging Pre-trained Models for Failure Analysis Triplets Generation0
Learning to Navigate Wikipedia by Taking Random Walks0
QuaLA-MiniLM: a Quantized Length Adaptive MiniLM0
Query Refinement Prompts for Closed-Book Long-Form Question Answering0
Towards Zero-Shot and Few-Shot Table Question Answering using GPT-30
Transfer Learning with Synthetic Corpora for Spatial Role Labeling and ReasoningCode0
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models0
Zero-Shot Text Matching for Automated Auditing using Sentence Transformers0
Fast DistilBERT on CPUs0
TASA: Deceiving Question Answering Models by Twin Answer Sentences AttackCode0
Reinforced Question Rewriting for Conversational Question Answering0
DyREx: Dynamic Query Representation for Extractive Question AnsweringCode0
Look to the Right: Mitigating Relative Position Bias in Extractive Question Answering0
What's Different between Visual Question Answering for Machine "Understanding" Versus for Accessibility?Code0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94Unverified
2FPNet (ensemble)EM90.87Unverified
3IE-NetV2 (ensemble)EM90.86Unverified
4SA-Net on Albert (ensemble)EM90.72Unverified
5SA-Net-V2 (ensemble)EM90.68Unverified
6FPNet (ensemble)EM90.6Unverified
7Retro-Reader (ensemble)EM90.58Unverified
8EntitySpanFocusV2 (ensemble)EM90.52Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49Unverified
10EntitySpanFocus+AT (ensemble)EM90.45Unverified