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 3601–3625 of 10817 papers

TitleStatusHype
LLM-aided explanations of EDA synthesis errors—0
FQuAD2.0: French Question Answering and Learning When You Don’t Know—0
FQuAD: French Question Answering Dataset—0
DoT: An efficient Double Transformer for NLP tasks with tables—0
Explanation as Question Answering based on Design Knowledge—0
Explanation as Question Answering based on a Task Model of the Agent's Design—0
Do Smaller Language Models Answer Contextualised Questions Through Memorisation Or Generalisation?—0
ExplanationLP: Abductive Reasoning for Explainable Science Question Answering—0
Architecture for a Trustworthy Quantum Chatbot—0
Explanations for CommonsenseQA: New Dataset and Models—0
Explanation vs Attention: A Two-Player Game to Obtain Attention for VQA—0
CAVL: Learning Contrastive and Adaptive Representations of Vision and Language—0
Annotation and Analysis of Discourse Relations, Temporal Relations and Multi-Layered Situational Relations in Japanese Texts—0
Explicit Bias Discovery in Visual Question Answering Models—0
Do Sentence Transformers Learn Quasi-Geospatial Concepts from General Text?—0
DOSA: A Dataset of Social Artifacts from Different Indian Geographical Subcultures—0
A Concept-Centric Approach to Multi-Modality Learning—0
DoReMi: Grounding Language Model by Detecting and Recovering from Plan-Execution Misalignment—0
Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering—0
Beyond Profile: From Surface-Level Facts to Deep Persona Simulation in LLMs—0
Exploiting Attention to Reveal Shortcomings in Memory Models—0
Exploiting Bilingual Translation for Question Retrieval in Community-Based Question Answering—0
A Framework for Rationale Extraction for Deep QA models—0
Exploiting Hybrid Semantics of Relation Paths for Multi-hop Question Answering Over Knowledge Graphs—0
DoQA - Accessing Domain-Specific FAQs via Conversational QA—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