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 5451–5500 of 10817 papers

TitleStatusHype
Cooperative Self-training of Machine Reading Comprehension—0
Cooperative Reasoning on Knowledge Graph and Corpus: A Multi-agentReinforcement Learning Approach—0
DHP Benchmark: Are LLMs Good NLG Evaluators?—0
LargePiG: Your Large Language Model is Secretly a Pointer Generator—0
Large-Scale Acquisition of Commonsense Knowledge via a Quiz Game on a Dialogue System—0
Large-Scale Acquisition of Entailment Pattern Pairs by Exploiting Transitivity—0
Image Position Prediction in Multimodal Documents—0
Large-scale CCG Induction from the Groningen Meaning Bank—0
A topic-aware graph neural network model for knowledge base updating—0
Analysis of the Reasoning with Redundant Information Provided Ability of Large Language Models—0
Large Scale Generative Multimodal Attribute Extraction for E-commerce Attributes—0
Large-Scale Goodness Polarity Lexicons for Community Question Answering—0
Image Manipulation via Multi-Hop Instructions -- A New Dataset and Weakly-Supervised Neuro-Symbolic Approach—0
A Deep Learning Approach for Expert Identification in Question Answering Communities—0
Large-Scale Paraphrasing for Natural Language Understanding—0
Large Scale Question Answering using Tourism Data—0
Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning—0
Image Captioning with Compositional Neural Module Networks—0
Large Scale Scene Text Verification with Guided Attention—0
Large-Scale Semantic Indexing and Question Answering in Biomedicine—0
Cooperative Denoising for Distantly Supervised Relation Extraction—0
A tool suite for creating question answering benchmarks—0
Large Vision-Language Models for Remote Sensing Visual Question Answering—0
LARSA22 at Qur’an QA 2022: Text-to-Text Transformer for Finding Answers to Questions from Qur’an—0
Leveraging Frequent Query Substructures to Generate Formal Queries for Complex Question Answering—0
Image Captioning and Visual Question Answering Based on Attributes and External Knowledge—0
Image as a Foreign Language: BEiT Pretraining for Vision and Vision-Language Tasks—0
COOL, a Context Outlooker, and its Application to Question Answering and other Natural Language Processing Tasks—0
CLIPPO: Image-and-Language Understanding from Pixels Only—0
Bayesian Attention Belief Networks—0
Latent Question Reformulation and Information Accumulation for Multi-Hop Machine Reading—0
Latent Semantic Tensor Indexing for Community-based Question Answering—0
Cooking with Semantics—0
Latent Trees for Coreference Resolution—0
Latent Variable Models for Visual Question Answering—0
Latent-Variable PCFGs: Background and Applications—0
Analysis of Temporal Expressions Annotated in Clinical Notes—0
Leveraging Graph Retrieval-Augmented Generation to Support Learners' Understanding of Knowledge Concepts in MOOCs—0
Leveraging Linguistic Structure For Open Domain Information Extraction—0
Leveraging Pre-trained Models for Failure Analysis Triplets Generation—0
LAVIS: A Library for Language-Vision Intelligence—0
Lexical Substitution Dataset for German—0
Leveraging Chain of Thought towards Empathetic Spoken Dialogue without Corresponding Question-Answering Data—0
Convolutional Neural Network: Text Classification Model for Open Domain Question Answering System—0
Bayesian Supervised Domain Adaptation for Short Text Similarity—0
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference—0
LB-KBQA: Large-language-model and BERT based Knowledge-Based Question and Answering System—0
LCQMC:A Large-scale Chinese Question Matching Corpus—0
IJCNLP-2017 Task 5: Multi-choice Question Answering in Examinations—0
Atomic Fact Decomposition Helps Attributed Question Answering—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