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 2251–2275 of 10817 papers

TitleStatusHype
Synthetic Multimodal Question Generation—0
Referring Atomic Video Action RecognitionCode1
Neurocache: Efficient Vector Retrieval for Long-range Language ModelingCode0
The Solution for the ICCV 2023 Perception Test Challenge 2023 -- Task 6 -- Grounded videoQA—0
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs—0
Searching for Best Practices in Retrieval-Augmented GenerationCode3
Dynamic Few-Shot Learning for Knowledge Graph Question Answering—0
M2QA: Multi-domain Multilingual Question AnsweringCode0
An Empirical Comparison of Generative Approaches for Product Attribute-Value IdentificationCode0
CVLUE: A New Benchmark Dataset for Chinese Vision-Language Understanding EvaluationCode1
Calibrated Large Language Models for Binary Question Answering—0
Optimization of Retrieval-Augmented Generation Context with Outlier Detection—0
Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation—0
Eliminating Position Bias of Language Models: A Mechanistic ApproachCode1
Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuningCode1
Hierarchical Memory for Long Video QA—0
PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility GraphCode1
H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on TablesCode1
Financial Knowledge Large Language Model—0
Too Late to Train, Too Early To Use? A Study on Necessity and Viability of Low-Resource Bengali LLMs—0
BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical ScienceCode0
Assistive Image Annotation Systems with Deep Learning and Natural Language Capabilities: A Review—0
MM-Instruct: Generated Visual Instructions for Large Multimodal Model AlignmentCode1
STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical Question-AnsweringCode1
Efficient Large Multi-modal Models via Visual Context CompressionCode2
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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