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 7651–7675 of 10817 papers

TitleStatusHype
Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning—0
It's High Time: A Survey of Temporal Information Retrieval and Question Answering—0
It's About Time: Incorporating Temporality in Retrieval Augmented Language Models—0
Prune Once for All: Sparse Pre-Trained Language Models—0
ITNLP-AiKF at SemEval-2016 Task 3 a quesiton answering system using community QA repository—0
DAHRS: Divergence-Aware Hallucination-Remediated SRL Projection—0
Automatically Developing a Fine-grained Arabic Named Entity Corpus and Gazetteer by utilizing Wikipedia—0
PSLM: Parallel Generation of Text and Speech with LLMs for Low-Latency Spoken Dialogue Systems—0
It is AI’s Turn to Ask Humans a Question: Question-Answer Pair Generation for Children’s Story Books—0
It is AI’s Turn to Ask Human a Question: Question and Answer Pair Generation for Children Storybooks in FairytaleQA Dataset—0
Psy-LLM: Scaling up Global Mental Health Psychological Services with AI-based Large Language Models—0
DAFE: LLM-Based Evaluation Through Dynamic Arbitration for Free-Form Question-Answering—0
ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset—0
DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension—0
Automated Utterance Generation—0
Punctuation Prediction with Transition-based Parsing—0
An Effective Multi-Stage Approach For Question Answering—0
Pushing the boundary on Natural Language Inference—0
Pushing the Limits of AMR Parsing with Self-Learning—0
Pushing the Limits of ChatGPT on NLP Tasks—0
Advancements and Challenges in Bangla Question Answering Models: A Comprehensive Review—0
Pushing the Limits of Radiology with Joint Modeling of Visual and Textual Information—0
Iterative Utility Judgment Framework via LLMs Inspired by Relevance in Philosophy—0
Iterative Scene Graph Generation with Generative Transformers—0
Iterative Multi-document Neural Attention for Multiple Answer Prediction—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