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 2751–2800 of 10817 papers

TitleStatusHype
Limited Ability of LLMs to Simulate Human Psychological Behaviours: a Psychometric AnalysisCode0
Llama SLayer 8B: Shallow Layers Hold the Key to Knowledge InjectionCode0
Length Optimization in Conformal PredictionCode0
Beyond Language: Learning Commonsense from Images for ReasoningCode0
LEGAL-UQA: A Low-Resource Urdu-English Dataset for Legal Question AnsweringCode0
Learning What is Essential in QuestionsCode0
Learning Visual Question Answering by Bootstrapping Hard AttentionCode0
Learning to Search in Long Documents Using Document StructureCode0
Beyond Bilinear: Generalized Multimodal Factorized High-order Pooling for Visual Question AnsweringCode0
Learning to Select from Multiple OptionsCode0
Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-TuningCode0
Learning to Skim TextCode0
Less is More: Rejecting Unreliable Reviews for Product Question AnsweringCode0
Beyond Accuracy: A Consolidated Tool for Visual Question Answering BenchmarkingCode0
Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document MatchingCode0
Learning to Rank Query Graphs for Complex Question Answering over Knowledge GraphsCode0
Better RAG using Relevant Information GainCode0
Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMsCode0
Annotating and Characterizing Clinical Sentences with Explicit Why-QA CuesCode0
Better Explain Transformers by Illuminating Important InformationCode0
Learning to Model and Ignore Dataset Bias with Mixed Capacity EnsemblesCode0
Learning to Exploit Structured Resources for Lexical InferenceCode0
Sentence Embeddings for Russian NLUCode0
Annobot: Platform for Annotating and Creating Datasets through Conversation with a ChatbotCode0
Learning to Follow Object-Centric Image Editing Instructions FaithfullyCode0
Learning to Compose Neural Networks for Question AnsweringCode0
BERT with History Answer Embedding for Conversational Question AnsweringCode0
Learning to Deceive Knowledge Graph Augmented Models via Targeted PerturbationCode0
Learning to Generalize for Cross-domain QACode0
Learning to Represent Bilingual DictionariesCode0
BERTSel: Answer Selection with Pre-trained ModelsCode0
aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching ModelCode0
BERTnesia: Investigating the capture and forgetting of knowledge in BERTCode0
Learning to Answer Biomedical Questions: OAQA at BioASQ 4BCode0
BERTnesia: Investigating the capture and forgetting of knowledge in BERTCode0
BERT Knows Punta Cana is not just beautiful, it's gorgeous: Ranking Scalar Adjectives with Contextualised RepresentationsCode0
Learning to Perform Role-Filler Binding with Schematic KnowledgeCode0
E-BERT: Efficient-Yet-Effective Entity Embeddings for BERTCode0
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease DiagnosisCode0
Learning Semantic Textual Similarity from ConversationsCode0
Learning the meanings of function words from grounded language using a visual question answering modelCode0
Learning Representation Mapping for Relation Detection in Knowledge Base Question AnsweringCode0
Learning Relation Entailment with Structured and Textual InformationCode0
Learning Representations of Sets through Optimized PermutationsCode0
BERT Based Multilingual Machine Comprehension in English and HindiCode0
An Interpretable Reasoning Network for Multi-Relation Question AnsweringCode0
Learning Recurrent Span Representations for Extractive Question AnsweringCode0
Learning from Explanations with Neural Execution TreeCode0
BEnQA: A Question Answering and Reasoning Benchmark for Bengali and EnglishCode0
Learning from Lexical Perturbations for Consistent Visual Question AnsweringCode0
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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