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 3801–3850 of 10817 papers

TitleStatusHype
Image Question Answering using Convolutional Neural Network with Dynamic Parameter PredictionCode0
Imitation Learning of Agenda-based Semantic ParsersCode0
Contextual Embeddings for Arabic-English Code-Switched DataCode0
Contextual embedding and model weighting by fusing domain knowledge on Biomedical Question AnsweringCode0
Image Content Generation with Causal ReasoningCode0
Fast Linear Model for Knowledge Graph EmbeddingsCode0
Contextual Dropout: An Efficient Sample-Dependent Dropout ModuleCode0
IMAD: IMage-Augmented multi-modal DialogueCode0
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language TasksCode0
ILLUME: Rationalizing Vision-Language Models through Human InteractionsCode0
IIU: Independent Inference Units for Knowledge-based Visual Question AnsweringCode0
FAT ALBERT: Finding Answers in Large Texts using Semantic Similarity Attention Layer based on BERTCode0
Illusory VQA: Benchmarking and Enhancing Multimodal Models on Visual IllusionsCode0
Image Captioning for Effective Use of Language Models in Knowledge-Based Visual Question AnsweringCode0
Improving Health Question Answering with Reliable and Time-Aware Evidence RetrievalCode0
Toward Multi-Granularity Decision-Making: Explicit Visual Reasoning with Hierarchical KnowledgeCode0
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question AnsweringCode0
Towards a Benchmark for Causal Business Process Reasoning with LLMsCode0
Context Transformer with Stacked Pointer Networks for Conversational Question Answering over Knowledge GraphsCode0
If the Sources Could Talk: Evaluating Large Language Models for Research Assistance in HistoryCode0
ChiMed: A Chinese Medical Corpus for Question AnsweringCode0
Identifying Unclear Questions in Community Question Answering WebsitesCode0
A Survey on Deep Learning for Named Entity RecognitionCode0
Idiom Paraphrases: Seventh Heaven vs Cloud NineCode0
I Could've Asked That: Reformulating Unanswerable QuestionsCode0
Context Independent Term Mapper for European LanguagesCode0
Identifying relevant common sense information in knowledge graphsCode0
II-MMR: Identifying and Improving Multi-modal Multi-hop Reasoning in Visual Question AnsweringCode0
HyTE: Hyperplane-based Temporally aware Knowledge Graph EmbeddingCode0
Towards Consistent Natural-Language Explanations via Explanation-Consistency FinetuningCode0
Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMsCode0
Hyperbolic Representation Learning for Fast and Efficient Neural Question AnsweringCode0
Hypercube-RAG: Hypercube-Based Retrieval-Augmented Generation for In-domain Scientific Question-AnsweringCode0
Towards End-to-End Open Conversational Machine ReadingCode0
IIT-UHH at SemEval-2017 Task 3: Exploring Multiple Features for Community Question Answering and Implicit Dialogue IdentificationCode0
Improving Knowledge-aware Dialogue Generation via Knowledge Base Question AnsweringCode0
Incremental and Iterative Learning of Answer Set Programs from Mutually Distinct ExamplesCode0
HRIBench: Benchmarking Vision-Language Models for Real-Time Human Perception in Human-Robot InteractionCode0
A Survey of Video Datasets for Grounded Event UnderstandingCode0
How Well Do Large Language Models Understand Syntax? An Evaluation by Asking Natural Language QuestionsCode0
Context-Aware Representations for Knowledge Base Relation ExtractionCode0
How Well Do Multi-hop Reading Comprehension Models Understand Date Information?Code0
How to Determine the Preferred Image Distribution of a Black-Box Vision-Language Model?Code0
How to Tune a Multilingual Encoder Model for Germanic Languages: A Study of PEFT, Full Fine-Tuning, and Language AdaptersCode0
Context-aware Frame-Semantic Role LabelingCode0
How much do LLMs learn from negative examples?Code0
How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?Code0
How Much Do LLMs Hallucinate across Languages? On Multilingual Estimation of LLM Hallucination in the WildCode0
Neural Correction Model for Open-Domain Named Entity RecognitionCode0
How Modular Should Neural Module Networks Be for Systematic Generalization?Code0
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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