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 5026–5050 of 10817 papers

TitleStatusHype
Measuring Progress on Scalable Oversight for Large Language Models—0
Miko Team: Deep Learning Approach for Legal Question Answering in ALQAC 2022—0
Crosslingual Generalization through Multitask FinetuningCode2
RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the QuestionCode1
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models—0
How Stable is Knowledge Base Knowledge?—0
Chinese Movie Dialogue Question Answering Dataset—0
T5lephone: Bridging Speech and Text Self-supervised Models for Spoken Language Understanding via Phoneme level T5Code1
Query Refinement Prompts for Closed-Book Long-Form Question Answering—0
QuaLA-MiniLM: a Quantized Length Adaptive MiniLM—0
Learning to Navigate Wikipedia by Taking Random Walks—0
Towards Zero-Shot and Few-Shot Table Question Answering using GPT-3—0
Leveraging Pre-trained Models for Failure Analysis Triplets Generation—0
Lila: A Unified Benchmark for Mathematical ReasoningCode1
Transfer Learning with Synthetic Corpora for Spatial Role Labeling and ReasoningCode0
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP TasksCode1
Two is Better than Many? Binary Classification as an Effective Approach to Multi-Choice Question AnsweringCode1
Zero-Shot Text Matching for Automated Auditing using Sentence Transformers—0
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models—0
Fast DistilBERT on CPUs—0
Reinforced Question Rewriting for Conversational Question Answering—0
MorphTE: Injecting Morphology in Tensorized EmbeddingsCode1
TASA: Deceiving Question Answering Models by Twin Answer Sentences AttackCode0
Look to the Right: Mitigating Relative Position Bias in Extractive Question Answering—0
DyREx: Dynamic Query Representation for Extractive Question AnsweringCode0
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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