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 3951–3975 of 10817 papers

TitleStatusHype
Decomposed Prompting to Answer Questions on a Course Discussion BoardCode0
From Feature Importance to Natural Language Explanations Using LLMs with RAGCode0
Pyramid Coder: Hierarchical Code Generator for Compositional Visual Question Answering—0
Assessing Graphical Perception of Image Embedding Models using Channel Effectiveness—0
Take A Step Back: Rethinking the Two Stages in Visual Reasoning—0
VolDoGer: LLM-assisted Datasets for Domain Generalization in Vision-Language Tasks—0
Harnessing Large Vision and Language Models in Agriculture: A Review—0
A Study on the Implementation Method of an Agent-Based Advanced RAG System Using Graph—0
Concise Thoughts: Impact of Output Length on LLM Reasoning and Cost—0
Prometheus Chatbot: Knowledge Graph Collaborative Large Language Model for Computer Components RecommendationCode0
AdaCoder: Adaptive Prompt Compression for Programmatic Visual Question Answering—0
Integrating Cognitive AI with Generative Models for Enhanced Question Answering in Skill-based Learning—0
A Role-specific Guided Large Language Model for Ophthalmic Consultation Based on Stylistic DifferentiationCode0
Answerability Fields: Answerable Location Estimation via Diffusion Models—0
Constructing the CORD-19 Vaccine Dataset—0
The Geometry of Queries: Query-Based Innovations in Retrieval-Augmented Generation—0
UOUO: Uncontextualized Uncommon Objects for Measuring Knowledge Horizons of Vision Language Models—0
ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering—0
3D Question Answering for City Scene Understanding—0
I Could've Asked That: Reformulating Unanswerable QuestionsCode0
A Survey Forest Diagram : Gain a Divergent Insight View on a Specific Research Topic—0
Knowledge Models for Cancer Clinical Practice Guidelines : Construction, Management and Usage in Question Answering—0
Shared Imagination: LLMs Hallucinate Alike—0
Causal Understanding For Video Question Answering—0
Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large 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