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 4351–4400 of 10817 papers

TitleStatusHype
BARTPhoBEiT: Pre-trained Sequence-to-Sequence and Image Transformers Models for Vietnamese Visual Question Answering—0
Detecting Ongoing Events Using Contextual Word and Sentence Embeddings—0
DHP Benchmark: Are LLMs Good NLG Evaluators?—0
DGRAG: Distributed Graph-based Retrieval-Augmented Generation in Edge-Cloud Systems—0
Barriers in Integrating Medical Visual Question Answering into Radiology Workflows: A Scoping Review and Clinicians' Insights—0
A Neural Question Answering Model Based on Semi-Structured Tables—0
Development of Hybrid Algorithm for Automatic Extraction of Multiword Expressions from Monolingual and Parallel Corpus of English and Punjabi—0
A Neural Network Model for Low-Resource Universal Dependency Parsing—0
Developing Question-Answering Models in Low-Resource Languages: A Case Study on Turkish Medical Texts Using Transformer-Based Approaches—0
Developing ML-based Systems to Extract Medical Information from Japanese Medical History Summaries—0
Barking Up The Syntactic Tree: Enhancing VLM Training with Syntactic Losses—0
A Competence-aware Curriculum for Visual Concepts Learning via Question Answering—0
Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness Control—0
Developing ChatGPT for Biology and Medicine: A Complete Review of Biomedical Question Answering—0
Developing a How-to Tip Machine Comprehension Dataset and its Evaluation in Machine Comprehension by BERT—0
BanglaQuAD: A Bengali Open-domain Question Answering Dataset—0
Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning Based Methods—0
Detours for Navigating Instructional Videos—0
A Neural Network for Factoid Question Answering over Paragraphs—0
REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language Models—0
Determining is-a relationships for Textual Entailment—0
Determining Event Durations: Models and Error Analysis—0
Detect, Retrieve, Comprehend: A Flexible Framework for Zero-Shot Document-Level Question Answering—0
Detection-based Intermediate Supervision for Visual Question Answering—0
BanditRank: Learning to Rank Using Contextual Bandits—0
3D Concept Grounding on Neural Fields—0
Improving Cross-Modal Understanding in Visual Dialog via Contrastive Learning—0
A Neural Model for Joint Document and Snippet Ranking in Question Answering for Large Document Collections—0
Detecting Subevent Structure for Event Coreference Resolution—0
Towards Understanding Domain Adapted Sentence Embeddings for Document Retrieval—0
Detecting Spammers in Community Question Answering—0
Detecting Semantically Equivalent Questions in Online User Forums—0
Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization—0
A Neural Method for Goal-Oriented Dialog Systems to interact with Named Entities—0
Detecting Bot-Answerable Questions in Ubuntu Chat—0
Balancing Performance and Efficiency in Zero-shot Robotic Navigation—0
Improving Conditioning in Context-Aware Sequence to Sequence Models—0
Improving Cross-lingual Representation for Semantic Retrieval with Code-switching—0
Improving Data Augmentation for Robust Visual Question Answering with Effective Curriculum Learning—0
Detecting Asymmetric Semantic Relations in Context: A Case-Study on Hypernymy Detection—0
Detecting and Resolving Shell Nouns in German—0
Detecting and Evaluating Medical Hallucinations in Large Vision Language Models—0
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE—0
A neural document language modeling framework for spoken document retrieval—0
Detect, Describe, Discriminate: Moving Beyond VQA for MLLM Evaluation—0
Detect2Interact: Localizing Object Key Field in Visual Question Answering (VQA) with LLMs—0
A Neural Comprehensive Ranker (NCR) for Open-Domain Question Answering—0
Despite "super-human" performance, current LLMs are unsuited for decisions about ethics and safety—0
Bactrainus: Optimizing Large Language Models for Multi-hop Complex Question Answering Tasks—0
Adversarial Attacks Beyond the Image Space—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