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 6601–6625 of 10817 papers

TitleStatusHype
Language Model-Guided Knowledge Subgraphs for Question Answering—0
Despite "super-human" performance, current LLMs are unsuited for decisions about ethics and safety—0
LEMON: LanguagE ModeL for Negative Sampling of Knowledge Graph Embeddings—0
Language Is Not All You Need: Aligning Perception with Language Models—0
Bactrainus: Optimizing Large Language Models for Multi-hop Complex Question Answering Tasks—0
Multi-Row, Multi-Span Distant Supervision For Table+Text Question—0
A Neural Comprehensive Ranker (NCR) for Open-Domain Question Answering—0
Multi-Level Alignments As An Extensible Representation Basis for Textual Entailment Algorithms—0
Multi-Level Attention Networks for Visual Question Answering—0
Multi-Level Explanations for Generative Language Models—0
Multi-level Gated Recurrent Neural Network for Dialog Act Classification—0
Adversarial Attacks Beyond the Image Space—0
Multilingual Aliasing for Auto-Generating Proposition Banks—0
Multilingual Answer Sentence Reranking via Automatically Translated Data—0
Multilingual Augmentation for Robust Visual Question Answering in Remote Sensing Images—0
Multilingual European Language Models: Benchmarking Approaches and Challenges—0
Multilingual Image Corpus – Towards a Multimodal and Multilingual Dataset—0
Multilingual Medical Question Answering and Information Retrieval for Rural Health Intelligence Access—0
Language Independent Sentence-Level Subjectivity Analysis with Feature Selection—0
Designing Templates for Eliciting Commonsense Knowledge from Pretrained Sequence-to-Sequence Models—0
Language-Image Models with 3D Understanding—0
Multilingual Question Answering from Formatted Text applied to Conversational Agents—0
BACON: Improving Clarity of Image Captions via Bag-of-Concept Graphs—0
Multilingual Retrieval-Augmented Generation for Knowledge-Intensive Task—0
Language Features Matter: Effective Language Representations for Vision-Language Tasks—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