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 7251–7300 of 10817 papers

TitleStatusHype
PaLI: A Jointly-Scaled Multilingual Language-Image Model—0
GUITAR: Gradient Pruning toward Fast Neural Ranking—0
PharmKE: Knowledge Extraction Platform for Pharmaceutical Texts using Transfer Learning—0
PaLM 2 Technical Report—0
Guiding Visual Question Answering with Attention Priors—0
A Study on Efficiency, Accuracy and Document Structure for Answer Sentence Selection—0
Phase Conductor on Multi-layered Attentions for Machine Comprehension—0
PALM: Pre-training an Autoencoding\&Autoregressive Language Model for Context-conditioned Generation—0
Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting—0
PALRACE: Reading Comprehension Dataset with Human Data and Labeled Rationales—0
PAM: Understanding Product Images in Cross Product Category Attribute Extraction—0
A Study of the Importance of External Knowledge in the Named Entity Recognition Task—0
Pangloss: Fast Entity Linking in Noisy Text Environments—0
Perspective Transition of Large Language Models for Solving Subjective Tasks—0
Pangu DeepDiver: Adaptive Search Intensity Scaling via Open-Web Reinforcement Learning—0
PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing—0
Guess What: A Question Answering Game via On-demand Knowledge Validation—0
Amrita\_CEN at SemEval-2016 Task 1: Semantic Relation from Word Embeddings in Higher Dimension—0
Perturbation-based Active Learning for Question Answering—0
PaperQA: Retrieval-Augmented Generative Agent for Scientific Research—0
Exploiting Rich Syntax for Better Knowledge Base Question Answering—0
Philosophers are Mortal: Inferring the Truth of Unseen Facts—0
PAQA: Toward ProActive Open-Retrieval Question Answering—0
ParaDi: Dictionary of Paraphrases of Czech Complex Predicates with Light Verbs—0
PARADIGM: Paraphrase Diagnostics through Grammar Matching—0
Guess Me if You Can: Acronym Disambiguation for Enterprises—0
Conditional Generation with a Question-Answering Blueprint—0
ParaLaw Nets -- Cross-lingual Sentence-level Pretraining for Legal Text Processing—0
Concise Thoughts: Impact of Output Length on LLM Reasoning and Cost—0
GTR-LSTM: A Triple Encoder for Sentence Generation from RDF Data—0
Parallelizing Word2Vec in Shared and Distributed Memory—0
Parallel Key-Value Cache Fusion for Position Invariant RAG—0
PARAMANU-AYN: Pretrain from scratch or Continual Pretraining of LLMs for Legal Domain Adaptation?—0
Parameter-Efficient Abstractive Question Answering over Tables and over Text—0
Exploiting User Search Sessions for the Semantic Categorization of Question-like Informational Search Queries—0
CFO: A Framework for Building Production NLP Systems—0
A Study of the Effect of Resolving Negation and Sentiment Analysis in Recognizing Text Entailment for Arabic—0
GTR: Graph-Table-RAG for Cross-Table Question Answering—0
Parameter-Efficient Neural Question Answering Models via Graph-Enriched Document Representations—0
gTBLS: Generating Tables from Text by Conditional Question Answering—0
Parameter-free Video Segmentation for Vision and Language Understanding—0
Paraphrase-Driven Learning for Open Question Answering—0
Paraphrase for Open Question Answering: New Dataset and Methods—0
Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing—0
GSQA: An End-to-End Model for Generative Spoken Question Answering—0
Paraphrasing in Affirmative Terms Improves Negation Understanding—0
G-SAP: Graph-based Structure-Aware Prompt Learning over Heterogeneous Knowledge for Commonsense Reasoning—0
Paraphrasing with Large Language Models—0
Paraphrastic Variance between European and Brazilian Portuguese—0
AMR Beyond the Sentence: the Multi-sentence AMR corpus—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