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 5801–5850 of 10817 papers

TitleStatusHype
Linguistic Embeddings as a Common-Sense Knowledge Repository: Challenges and Opportunities—0
Linguistic Resources for Entity Linking Evaluation: from Monolingual to Cross-lingual—0
idT5: Indonesian Version of Multilingual T5 Transformer—0
Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA—0
LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs—0
Conversational Text Extraction with Large Language Models Using Retrieval-Augmented Systems—0
LinkedHealthAnswers: Towards Linked Data-driven Question Answering for the Health Care Domain—0
Linking, Searching, and Visualizing Entities in Wikipedia—0
A Three-Step Transition-Based System for Non-Projective Dependency Parsing—0
LIORI at SemEval-2021 Task 2: Span Prediction and Binary Classification approaches to Word-in-Context Disambiguation—0
LIORI at SemEval-2021 Task 8: Ask Transformer for measurements—0
LIPN-CORE: Semantic Text Similarity using n-grams, WordNet, Syntactic Analysis, ESA and Information Retrieval based Features—0
MAQA: A Multimodal QA Benchmark for Negation—0
Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models—0
Conversational Question Answering with Reformulations over Knowledge Graph—0
Listening to the Wise Few: Select-and-Copy Attention Heads for Multiple-Choice QA—0
Do LLMs Understand Ambiguity in Text? A Case Study in Open-world Question Answering—0
LIST-LUX: Disorder Identification from Clinical Texts—0
Idest: Learning a Distributed Representation for Event Patterns—0
Identifying Various Kinds of Event Mentions in K-Parser Output—0
A Thousand Words Are Worth More Than a Picture: Natural Language-Centric Outside-Knowledge Visual Question Answering—0
LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling—0
MapQA: Open-domain Geospatial Question Answering on Map Data—0
Identifying the Provision of Choices in Privacy Policy Text—0
LittleBird: Efficient Faster & Longer Transformer for Question Answering—0
Annotating Educational Questions for Student Response Analysis—0
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks—0
LiveVLM: Efficient Online Video Understanding via Streaming-Oriented KV Cache and Retrieval—0
Identifying Shopping Intent in Product QA for Proactive Recommendations—0
LiVLR: A Lightweight Visual-Linguistic Reasoning Framework for Video Question Answering—0
利用图像描述与知识图谱增强表示的视觉问答(Exploiting Image Captions and External Knowledge as Representation Enhancement for Visual Question Answering)—0
LK2022 at Qur’an QA 2022: Simple Transformers Model for Finding Answers to Questions from Qur’an—0
Conversational Question Answering on Heterogeneous Sources—0
A Theoretically Grounded Benchmark for Evaluating Machine Commonsense—0
A Deep Cascade Model for Multi-Document Reading Comprehension—0
MAPWise: Evaluating Vision-Language Models for Advanced Map Queries—0
MARAGS: A Multi-Adapter System for Multi-Task Retrieval Augmented Generation Question Answering—0
Identifying Purpose Behind Electoral Tweets—0
Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation—0
Domain Mismatch Doesn’t Always Prevent Cross-lingual Transfer Learning—0
Identifying Participation of Individual Verbs or VerbNet Classes in the Causative Alternation—0
LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning—0
Conversational Question Answering in Low Resource Scenarios: A Dataset and Case Study for Basque—0
Identifying Nuggets of Information in GALE Distillation Evaluation—0
Identifying Constant and Unique Relations by using Time-Series Text—0
Conversational Question Answering: A Survey—0
A temporal expression recognition system for medical documents by—0
LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding—0
Identifying Causal Relations Using Parallel Wikipedia Articles—0
Identifying and Mitigating Position Bias of Multi-image Vision-Language Models—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