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 3026–3050 of 10817 papers

TitleStatusHype
Biomedical Question Answering via Weighted Neural Network Passage Retrieval—0
A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documents—0
Evaluating Machine Reading Systems through Comprehension Tests—0
Biomedical Question Answering via Multi-Level Summarization on a Local Knowledge Graph—0
Biomedical Question Answering: A Survey of Approaches and Challenges—0
Answer Candidate Type Selection: Text-to-Text Language Model for Closed Book Question Answering Meets Knowledge Graphs—0
Answer, Assemble, Ace: Understanding How Transformers Answer Multiple Choice Questions—0
Biomedical Multi-hop Question Answering Using Knowledge Graph Embeddings and Language Models—0
A General FOFE-net Framework for Simple and Effective Question Answering over Knowledge Bases—0
1-PAGER: One Pass Answer Generation and Evidence Retrieval—0
Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data—0
Answerable or Not: Devising a Dataset for Extending Machine Reading Comprehension—0
Evaluating LLMs Capabilities Towards Understanding Social Dynamics—0
Answerability in Retrieval-Augmented Open-Domain Question Answering—0
Dynamic Uncertainty Ranking: Enhancing In-Context Learning for Long-Tail Knowledge in LLMs—0
Dynamic-TinyBERT: Boost TinyBERT's Inference Efficiency by Dynamic Sequence Length—0
Biomedical Entity Linking with Triple-aware Pre-Training—0
A General and Flexible Multi-concept Parsing Framework for Multilingual Semantic Matching—0
Evaluating LLMs on Document-Based QA: Exact Answer Selection and Numerical Extraction using Cogtale dataset—0
Answerability Fields: Answerable Location Estimation via Diffusion Models—0
Dynamic Strategy Planning for Efficient Question Answering with Large Language Models—0
An Overview Of Temporal Commonsense Reasoning and Acquisition—0
Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation—0
DynamicVL: Benchmarking Multimodal Large Language Models for Dynamic City Understanding—0
Biomedical Document Retrieval for Clinical Decision Support System—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