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 7601–7625 of 10817 papers

TitleStatusHype
AstroLLaVA: towards the unification of astronomical data and natural language—0
Graph-Structured Representations for Visual Question Answering—0
Prompt-Aware Adapter: Towards Learning Adaptive Visual Tokens for Multimodal Large Language Models—0
Prompt-based Conservation Learning for Multi-hop Question Answering—0
Prompt-based Learning for Unpaired Image Captioning—0
Prompt-based Personalized Federated Learning for Medical Visual Question Answering—0
Graph Relation Transformer: Incorporating pairwise object features into the Transformer architecture—0
Compound Type Identification in Sanskrit: What Roles do the Corpus and Grammar Play?—0
Bilinear Graph Networks for Visual Question Answering—0
Graph Reasoning for Question Answering with Triplet Retrieval—0
Compound Tokens: Channel Fusion for Vision-Language Representation Learning—0
Prompt Engineering for Healthcare: Methodologies and Applications—0
Prompt Generate Train (PGT): Few-shot Domain Adaption of Retrieval Augmented Generation Models for Open Book Question-Answering—0
Prompt Guided Copy Mechanism for Conversational Question Answering—0
AstroLLaMA-Chat: Scaling AstroLLaMA with Conversational and Diverse Datasets—0
Fast Node Embeddings: Learning Ego-Centric Representations—0
Prompting Explicit and Implicit Knowledge for Multi-hop Question Answering Based on Human Reading Process—0
A Methodology for Creating Question Answering Corpora Using Inverse Data Annotation—0
Prompting Large Language Models with Knowledge Graphs for Question Answering Involving Long-tail Facts—0
Prompting Large Language Models with Rationale Heuristics for Knowledge-based Visual Question Answering—0
Compounds and distributional thesauri—0
Prompting Large Language Models with Speech Recognition Abilities—0
Prompting Video-Language Foundation Models with Domain-specific Fine-grained Heuristics for Video Question Answering—0
Prompting Whisper for QA-driven Zero-shot End-to-end Spoken Language Understanding—0
Graphologue: Exploring Large Language Model Responses with Interactive Diagrams—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