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 4451–4475 of 10817 papers

TitleStatusHype
Few-shot Multimodal Multitask Multilingual Learning—0
ChitroJera: A Regionally Relevant Visual Question Answering Dataset for Bangla—0
Argument structure of adverbial derivatives in Russian—0
Aligning a medium-size GPT model in English to a small closed domain in Spanish—0
Few-shot Multi-hop Question Answering over Knowledge Base—0
Few-Shot Image Classification and Segmentation as Visual Question Answering Using Vision-Language Models—0
Argument Similarity Assessment in German for Intelligent Tutoring: Crowdsourced Dataset and First Experiments—0
Chinese Whispers: Cooperative Paraphrase Acquisition—0
FEUP at SemEval-2018 Task 5: An Experimental Study of a Question Answering System—0
Chinese Tense Labelling and Causal Analysis—0
ArgumenText: Searching for Arguments in Heterogeneous Sources—0
AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM—0
Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges—0
A Biomedical Knowledge Graph for Biomarker Discovery in Cancer—0
SAGE: A Framework of Precise Retrieval for RAG—0
Prompting Medical Large Vision-Language Models to Diagnose Pathologies by Visual Question Answering—0
Fermi at SemEval-2019 Task 8: An elementary but effective approach to Question Discernment in Community QA Forums—0
Chinese Semantic Role Labeling using High-quality Syntactic Knowledge—0
FedPIA -- Permuting and Integrating Adapters leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning—0
Argument-Based Comparative Question Answering Evaluation Benchmark—0
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks—0
Chinese Open Relation Extraction for Knowledge Acquisition—0
Chinese Named Entity Abbreviation Generation Using First-Order Logic—0
Aligned Vector Quantization for Edge-Cloud Collabrative Vision-Language Models—0
Federated Retrieval Augmented Generation for Multi-Product Question Answering—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