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 5476–5500 of 10817 papers

TitleStatusHype
DynamicVL: Benchmarking Multimodal Large Language Models for Dynamic City Understanding—0
Dynamic Uncertainty Ranking: Enhancing In-Context Learning for Long-Tail Knowledge in LLMs—0
Dynamic-TinyBERT: Boost TinyBERT's Inference Efficiency by Dynamic Sequence Length—0
Biomedical Entity Linking with Triple-aware Pre-Training—0
Answerability in Retrieval-Augmented Open-Domain Question Answering—0
A General and Flexible Multi-concept Parsing Framework for Multilingual Semantic Matching—0
Dynamic Strategy Planning for Efficient Question Answering with Large Language Models—0
Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation—0
Biomedical Document Retrieval for Clinical Decision Support System—0
Answerability Fields: Answerable Location Estimation via Diffusion Models—0
Dynamic Relevance Graph Network for Knowledge-Aware Question Answering—0
Biomedical/Clinical NLP—0
Dynamic Q&A of Clinical Documents with Large Language Models—0
Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes—0
BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine—0
An Overview Of Temporal Commonsense Reasoning and Acquisition—0
A Gaze-grounded Visual Question Answering Dataset for Clarifying Ambiguous Japanese Questions—0
A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documents—0
Dynamic Multistep Reasoning based on Video Scene Graph for Video Question Answering—0
DynamicMind: A Tri-Mode Thinking System for Large Language Models—0
BioMedBERT: A Pre-trained Biomedical Language Model for QA and IR—0
An Overview of Distant Supervision for Relation Extraction with a Focus on Denoising and Pre-training Methods—0
Dynamic Knowledge Integration for Enhanced Vision-Language Reasoning—0
Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering—0
Dynamic Knowledge-Base Alignment for Coreference Resolution—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