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 6051–6100 of 10817 papers

TitleStatusHype
An Exploration of Data Augmentation and RNN Architectures for Question Ranking in Community Question Answering—0
Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations—0
A Systematic Evaluation of GPT-4V's Multimodal Capability for Medical Image Analysis—0
Learning to answer questions—0
Learning to Answer Multilingual and Code-Mixed Questions—0
MappSent: a Textual Mapping Approach for Question-to-Question Similarity—0
MappSent at IJCNLP-2017 Task 5: A Textual Similarity Approach Applied to Multi-choice Question Answering in Examinations—0
Learning to Answer by Learning to Ask: Getting the Best of GPT-2 and BERT Worlds—0
Discovering the Real Association: Multimodal Causal Reasoning in Video Question Answering—0
Benchmarking Large Language Models for Conversational Question Answering in Multi-instructional Documents—0
Learning to Answer Ambiguous Questions with Knowledge Graph—0
MAQA: A Multimodal QA Benchmark for Negation—0
Learning Term Embeddings for Taxonomic Relation Identification Using Dynamic Weighting Neural Network—0
MARAGS: A Multi-Adapter System for Multi-Task Retrieval Augmented Generation Question Answering—0
MarCQAp: Effective Context Modeling for Conversational Question Answering—0
Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets—0
Discovering Pathology Rationale and Token Allocation for Efficient Multimodal Pathology Reasoning—0
Markov Logic Networks for Natural Language Question Answering—0
Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-to-Text Transformation—0
An Exploration of Data Augmentation and Sampling Techniques for Domain-Agnostic Question Answering—0
Learning Structures of Negations from Flat Annotations—0
Learning Structured Embeddings of Knowledge Graphs with Adversarial Learning Framework—0
Learning Sparsity for Effective and Efficient Music Performance Question Answering—0
MaScQA: A Question Answering Dataset for Investigating Materials Science Knowledge of Large Language Models—0
Learning Sparse Mixture of Experts for Visual Question Answering—0
Discovering Implicit Discourse Relations Through Brown Cluster Pair Representation and Coreference Patterns—0
Learning Sentiment Lexicons in Spanish—0
Learning Semantic Textual Similarity with Structural Representations—0
Discovering Fine-Grained Semantics in Knowledge Graph Relations—0
Discovering Bias in Latent Space: An Unsupervised Debiasing Approach—0
MASSIVE Multilingual Abstract Meaning Representation: A Dataset and Baselines for Hallucination Detection—0
MASTER: A Multi-Agent System with LLM Specialized MCTS—0
Mastering Board Games by External and Internal Planning with Language Models—0
Match^2: A Matching over Matching Model for Similar Question Identification—0
An experimental study of the vision-bottleneck in VQA—0
Learning Semantic Structure through First-Order-Logic Translation—0
Learning Semantic Relatedness in Community Question Answering Using Neural Models—0
Discovering Better Model Architectures for Medical Query Understanding—0
Learning Scalar Adjective Intensity from Paraphrases—0
MATE: Multi-view Attention for Table Transformer Efficiency—0
Discourse-sensitive Automatic Identification of Generic Expressions—0
Learning Rich Representation of Keyphrases from Text—0
Learning Rich Image Region Representation for Visual Question Answering—0
Learning Representations of Entities and Relations—0
Discourse Parsing with Attention-based Hierarchical Neural Networks—0
Benchmarking Foundation Models with Language-Model-as-an-Examiner—0
MATTER: Memory-Augmented Transformer Using Heterogeneous Knowledge Sources—0
MAUPQA: Massive Automatically-created Polish Question Answering Dataset—0
An Exam-based Evaluation Approach Beyond Traditional Relevance Judgments—0
Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization—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