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 7651–7675 of 10817 papers

TitleStatusHype
Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning—0
Feature-Rich Twitter Named Entity Recognition and Classification—0
Graph Guided Question Answer Generation for Procedural Question-Answering—0
Prune Once for All: Sparse Pre-Trained Language Models—0
Compositional pre-training for neural semantic parsing—0
Structured Pruning of a BERT-based Question Answering Model—0
Pseudo Ambiguous and Clarifying Questions Based on Sentence Structures Toward Clarifying Question Answering System—0
PSLM: Parallel Generation of Text and Speech with LLMs for Low-Latency Spoken Dialogue Systems—0
Compositional Memory for Visual Question Answering—0
Psycholinguistics meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering—0
Psy-LLM: Scaling up Global Mental Health Psychological Services with AI-based Large Language Models—0
Federated Retrieval Augmented Generation for Multi-Product Question Answering—0
AsthmaBot: Multi-modal, Multi-Lingual Retrieval Augmented Generation For Asthma Patient Support—0
A Dataset for Research on Short-Text Conversations—0
PUMGPT: A Large Vision-Language Model for Product Understanding—0
Punctuation Prediction with Transition-based Parsing—0
PurdueNLP at SemEval-2017 Task 1: Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings—0
Pushing the boundary on Natural Language Inference—0
Pushing the Limits of AMR Parsing with Self-Learning—0
Pushing the Limits of ChatGPT on NLP Tasks—0
GraphEQA: Using 3D Semantic Scene Graphs for Real-time Embodied Question Answering—0
Pushing the Limits of Radiology with Joint Modeling of Visual and Textual Information—0
Argument-Based Comparative Question Answering Evaluation Benchmark—0
Systems' Agreements and Disagreements in Temporal Processing: An Extensive Error Analysis of the TempEval-3 Task—0
Graph Collaborative Reasoning—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