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 5151–5200 of 10817 papers

TitleStatusHype
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive LearningCode1
Multi-Modal Fusion Transformer for Visual Question Answering in Remote Sensing—0
MAMO: Masked Multimodal Modeling for Fine-Grained Vision-Language Representation Learning—0
Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering—0
Contrastive Representation Learning for Conversational Question Answering over Knowledge GraphsCode0
Enhanced vectors for top-k document retrieval in Question Answering—0
Generative Language Models for Paragraph-Level Question Generation—0
Learning Fine-Grained Visual Understanding for Video Question Answering via Decoupling Spatial-Temporal ModelingCode1
EgoTaskQA: Understanding Human Tasks in Egocentric VideosCode1
KG-MTT-BERT: Knowledge Graph Enhanced BERT for Multi-Type Medical Text Classification—0
Retrieval Augmented Visual Question Answering with Outside KnowledgeCode2
ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question AnsweringCode1
Calibrating Factual Knowledge in Pretrained Language ModelsCode1
Measuring and Narrowing the Compositionality Gap in Language ModelsCode2
Automatic Chain of Thought Prompting in Large Language ModelsCode6
A Unified Encoder-Decoder Framework with Entity MemoryCode1
ReAct: Synergizing Reasoning and Acting in Language ModelsCode4
Just ClozE! A Novel Framework for Evaluating the Factual Consistency Faster in Abstractive SummarizationCode0
Rainier: Reinforced Knowledge Introspector for Commonsense Question AnsweringCode1
MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text—0
Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question Answering—0
Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot LearnersCode1
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question AnsweringCode1
APGKT: Exploiting Associative Path on Skills Graph for Knowledge Tracing—0
Ask Me Anything: A simple strategy for prompting language modelsCode2
Emotion Twenty Questions Dialog System for Lexical Emotional IntelligenceCode0
Honest Students from Untrusted Teachers: Learning an Interpretable Question-Answering Pipeline from a Pretrained Language Model—0
Locate before Answering: Answer Guided Question Localization for Video Question Answering—0
Large Language Models are Pretty Good Zero-Shot Video Game Bug DetectorsCode1
Towards Improving Faithfulness in Abstractive SummarizationCode1
Detect, Retrieve, Comprehend: A Flexible Framework for Zero-Shot Document-Level Question Answering—0
Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question AnsweringCode1
Mining Duplicate Questions of Stack Overflow—0
Recitation-Augmented Language ModelsCode1
Transformer-based Subject Entity Detection in Wikipedia Listings—0
When to Make Exceptions: Exploring Language Models as Accounts of Human Moral JudgmentCode1
Russian Web Tables: A Public Corpus of Web Tables for Russian Language Based on WikipediaCode0
Extending Compositional Attention Networks for Social Reasoning in VideosCode0
Understanding Prior Bias and Choice Paralysis in Transformer-based Language Representation Models through Four Experimental Probes—0
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-ThoughtCode3
How Relevant is Selective Memory Population in Lifelong Language Learning?—0
Findings of the VarDial Evaluation Campaign 2022Code0
On the Effects of Video Grounding on Language Models—0
Evaluating Coreference Resolvers on Community-based Question Answering: From Rule-based to State of the ArtCode0
HaleLab_NITK@SMM4H’22: Adaptive Learning Model for Effective Detection, Extraction and Normalization of Adverse Drug Events from Social Media DataCode0
CMQA: A Dataset of Conditional Question Answering with Multiple-Span AnswersCode0
Focus on FoCus: Is FoCus focused on Context, Knowledge and Persona?—0
ArT: All-round Thinker for Unsupervised Commonsense Question AnsweringCode0
Aligning Multilingual Embeddings for Improved Code-switched Natural Language UnderstandingCode0
Are Visual-Linguistic Models Commonsense Knowledge Bases?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