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 3851–3875 of 10817 papers

TitleStatusHype
HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications—0
LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments—0
Can Visual Language Models Replace OCR-Based Visual Question Answering Pipelines in Production? A Case Study in Retail—0
Can SAR improve RSVQA performance?—0
Boosting Lossless Speculative Decoding via Feature Sampling and Partial Alignment Distillation—0
Zero-Shot Visual Reasoning by Vision-Language Models: Benchmarking and Analysis—0
Evidence-Enhanced Triplet Generation Framework for Hallucination Alleviation in Generative Question Answering—0
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis—0
A Statistical Framework for Data-dependent Retrieval-Augmented Models—0
Question answering system of bridge design specification based on large language modelCode0
MMR: Evaluating Reading Ability of Large Multimodal Models—0
Towards Graph Prompt Learning: A Survey and Beyond—0
Evaluating Attribute Comprehension in Large Vision-Language ModelsCode0
Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data—0
DHP Benchmark: Are LLMs Good NLG Evaluators?—0
Towards Reliable Medical Question Answering: Techniques and Challenges in Mitigating Hallucinations in Language Models—0
CoT Rerailer: Enhancing the Reliability of Large Language Models in Complex Reasoning Tasks through Error Detection and Correction—0
Knowledge-Aware Reasoning over Multimodal Semi-structured Tables—0
Integrating Multi-Head Convolutional Encoders with Cross-Attention for Improved SPARQL Query Translation—0
Towards Human-Level Understanding of Complex Process Engineering Schematics: A Pedagogical, Introspective Multi-Agent Framework for Open-Domain Question Answering—0
IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering—0
Utilizing Large Language Models for Named Entity Recognition in Traditional Chinese Medicine against COVID-19 Literature: Comparative Study—0
Examining the Commitments and Difficulties Inherent in Multimodal Foundation Models for Street View Imagery—0
Internal and External Knowledge Interactive Refinement Framework for Knowledge-Intensive Question Answering—0
Foundational Model for Electron Micrograph Analysis: Instruction-Tuning Small-Scale Language-and-Vision Assistant for Enterprise Adoption—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