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 4701–4725 of 10817 papers

TitleStatusHype
Explore until Confident: Efficient Exploration for Embodied Question Answering—0
CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs—0
Explore then Determine: A GNN-LLM Synergy Framework for Reasoning over Knowledge Graph—0
CG-Bench: Clue-grounded Question Answering Benchmark for Long Video Understanding—0
A Refined End-to-End Discourse Parser—0
A Knowledge storage and semantic space alignment Method for Multi-documents dialogue generation—0
AdaDARE-gamma: Balancing Stability and Plasticity in Multi-modal LLMs through Efficient Adaptation—0
A Benchmark to Understand the Role of Knowledge Graphs on Large Language Model's Accuracy for Question Answering on Enterprise SQL Databases—0
Explore the Hallucination on Low-level Perception for MLLMs—0
Explore Person Specific Evidence in Web Person Name Disambiguation—0
Read and Think: An Efficient Step-wise Multimodal Language Model for Document Understanding and Reasoning—0
Explore before Moving: A Feasible Path Estimation and Memory Recalling Framework for Embodied Navigation—0
Exploiting WordNet Synset and Hypernym Representations for Answer Selection—0
CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases—0
Exploiting User Search Sessions for the Semantic Categorization of Question-like Informational Search Queries—0
Exploiting Timegraphs in Temporal Relation Classification—0
Exploiting the Human Computational Effort Dedicated to Message Reply Formatting for Training Discursive Email Segmenters—0
Exploiting Structure in Representation of Named Entities using Active Learning—0
CFO: A Framework for Building Production NLP Systems—0
CFMatch: Aligning Automated Answer Equivalence Evaluation with Expert Judgments For Open-Domain Question Answering—0
Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning—0
Certainly Uncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness—0
Exploiting Sentence Embedding for Medical Question Answering—0
Exploiting Rich Syntax for Better Knowledge Base Question Answering—0
Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? A Study on Several Typical Tasks—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