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 8176–8200 of 10817 papers

TitleStatusHype
Integrating Frequency-Domain Representations with Low-Rank Adaptation in Vision-Language Models—0
Rephrasing visual questions by specifying the entropy of the answer distribution—0
Cross-lingual Inference with A Chinese Entailment Graph—0
An approach based on Open Research Knowledge Graph for Knowledge Acquisition from scientific papers—0
Integrating Deep Linguistic Features in Factuality Prediction over Unified Datasets—0
Integrating Cognitive AI with Generative Models for Enhanced Question Answering in Skill-based Learning—0
Crosslingual Induction of Semantic Roles—0
Integer Linear Programming formulations in Natural Language Processing—0
Insurance Question Answering via Single-turn Dialogue Modeling—0
Representations for Question Answering from Documents with Tables and Text—0
Representing Movie Characters in Dialogues—0
Cross-Lingual Open-Domain Question Answering with Answer Sentence Generation—0
RepsNet: Combining Vision with Language for Automated Medical Reports—0
Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering—0
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining—0
Instruction Tuning and CoT Prompting for Contextual Medical QA with LLMs—0
Instruction-Oriented Preference Alignment for Enhancing Multi-Modal Comprehension Capability of MLLMs—0
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding—0
Anaphora Annotation in Hindi Dependency TreeBank—0
Instruction-Guided Scene Text Recognition—0
Cross-language Learning with Adversarial Neural Networks: Application to Community Question Answering—0
Instruction-augmented Multimodal Alignment for Image-Text and Element Matching—0
Cross-language Learning with Adversarial Neural Networks—0
Augmenting LLM Reasoning with Dynamic Notes Writing for Complex QA—0
Instant Answering in E-Commerce Buyer-Seller Messaging using Message-to-Question Reformulation—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