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 6151–6175 of 10817 papers

TitleStatusHype
Learning Hybrid Representations to Retrieve Semantically Equivalent Questions—0
DiscoGraMS: Enhancing Movie Screen-Play Summarization using Movie Character-Aware Discourse Graph—0
Benchmarking Answer Verification Methods for Question Answering-Based Summarization Evaluation Metrics—0
A New Neural Search and Insights Platform for Navigating and Organizing AI Research—0
Learning How To Ask: Cycle-Consistency Refines Prompts in Multimodal Foundation Models—0
Learning Grounded Meaning Representations with Autoencoders—0
MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering—0
MedExpQA: Multilingual Benchmarking of Large Language Models for Medical Question Answering—0
Learning from Limited Labels for Long Legal Dialogue—0
@Bench: Benchmarking Vision-Language Models for Human-centered Assistive Technology—0
Learning from Inside: Self-driven Siamese Sampling and Reasoning for Video Question Answering—0
Disambiguation in Conversational Question Answering in the Era of LLM: A Survey—0
Learning from a Neighbor: Adapting a Japanese Parser for Korean Through Feature Transfer Learning—0
Disaggregating Hops: Can We Guide a Multi-Hop Reasoning Language Model to Incrementally Learn at each Hop?—0
MedGPT: Medical Concept Prediction from Clinical Narratives—0
MedHal: An Evaluation Dataset for Medical Hallucination Detection—0
Benben: A Chinese Intelligent Conversational Robot—0
A New Minimally-Supervised Framework for Domain Word Sense Disambiguation—0
MeDiaQA: A Question Answering Dataset on Medical Dialogues—0
Adversarial Training for Community Question Answer Selection Based on Multi-scale Matching—0
Learning Fine-Grained Knowledge about Contingent Relations between Everyday Events—0
Medical Knowledge-enriched Textual Entailment Framework—0
Learning Faithful Representations of Causal Graphs—0
Learning Executable Semantic Parsers for Natural Language Understanding—0
Direct optimization of F-measure for retrieval-based personal 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