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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3101–3125 of 10817 papers

TitleStatusHype
Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG Systems—0
E-ViLM: Efficient Video-Language Model via Masked Video Modeling with Semantic Vector-Quantized Tokenizer—0
Dynamic Multistep Reasoning based on Video Scene Graph for Video Question Answering—0
Effectiveness of Deep Networks in NLP using BiDAF as an example architecture—0
Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering—0
Effective shared representations with Multitask Learning for Community Question Answering—0
DynamicMind: A Tri-Mode Thinking System for Large Language Models—0
Effect of Non-linear Deep Architecture in Sequence Labeling—0
BioMedBERT: A Pre-trained Biomedical Language Model for QA and IR—0
Effects of Prompt Length on Domain-specific Tasks for Large Language Models—0
An Overview of Distant Supervision for Relation Extraction with a Focus on Denoising and Pre-training Methods—0
Dynamic Knowledge Integration for Enhanced Vision-Language Reasoning—0
Efficiency in Focus: LayerNorm as a Catalyst for Fine-tuning Medical Visual Language Pre-trained Models—0
Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction—0
A Novel Word Sense Disambiguation Approach Using WordNet Knowledge Graph—0
Efficient and Interpretable Neural Models for Entity Tracking—0
Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering—0
Dynamic Knowledge-Base Alignment for Coreference Resolution—0
Efficient Bilinear Attention-based Fusion for Medical Visual Question Answering—0
Efficient Context Selection for Long-Context QA: No Tuning, No Iteration, Just Adaptive-k—0
BioInstruct: Instruction Tuning of Large Language Models for Biomedical Natural Language Processing—0
A Fully Coreference-annotated Corpus of Scholarly Papers from the ACL Anthology—0
Dynamic-KGQA: A Scalable Framework for Generating Adaptive Question Answering Datasets—0
Blocks as Probes: Dissecting Categorization Ability of Large Multimodal Models—0
A novel knowledge graph development for industry design: A case study on indirect coal liquefaction process—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