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 3801–3825 of 10817 papers

TitleStatusHype
Progressive Evidence Refinement for Open-domain Multimodal Retrieval Question Answering—0
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer—0
In-Context Learning with Iterative Demonstration SelectionCode1
CarExpert: Leveraging Large Language Models for In-Car Conversational Question Answering—0
MiniGPT-v2: large language model as a unified interface for vision-language multi-task learningCode7
Enhancing BERT-Based Visual Question Answering through Keyword-Driven Sentence Selection—0
From Words and Exercises to Wellness: Farsi Chatbot for Self-Attachment Technique—0
ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language ModelsCode2
Exploring Sparse Spatial Relation in Graph Inference for Text-Based VQA—0
Qilin-Med: Multi-stage Knowledge Injection Advanced Medical Large Language ModelCode1
The Consensus Game: Language Model Generation via Equilibrium Search—0
Mitigating Bias for Question Answering Models by Tracking Bias Influence—0
From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language ModelsCode2
ClimateBERT-NetZero: Detecting and Assessing Net Zero and Reduction Targets—0
Expanding the Vocabulary of BERT for Knowledge Base ConstructionCode0
GraphextQA: A Benchmark for Evaluating Graph-Enhanced Large Language ModelsCode0
Large Language Models for Scientific Synthesis, Inference and ExplanationCode1
Question Answering for Electronic Health Records: A Scoping Review of datasets and models—0
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language ModelsCode2
Training Generative Question-Answering on Synthetic Data Obtained from an Instruct-tuned Model—0
Low-Resource Clickbait Spoiling for Indonesian via Question Answering—0
From Large Language Models to Knowledge Graphs for Biomarker Discovery in Cancer—0
QASiNa: Religious Domain Question Answering using Sirah NabawiyahCode0
Open-Set Knowledge-Based Visual Question Answering with Inference PathsCode0
Ziya-Visual: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning—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