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

Showing 36013650 of 10817 papers

TitleStatusHype
In-Context Principle Learning from MistakesCode0
Incorporating Label Dependency for Answer Quality Tagging in Community Question Answering via CNN-LSTM-CRFCode0
A Transition-based Algorithm for AMR ParsingCode0
Coreference Reasoning in Machine Reading ComprehensionCode0
SEVEN: Pruning Transformer Model by Reserving SentinelsCode0
Improving the Cross-Lingual Generalisation in Visual Question AnsweringCode0
Improving Retrieval-Based Question Answering with Deep Inference ModelsCode0
Improving the Robustness of Question Answering Systems to Question ParaphrasingCode0
CoQA: A Conversational Question Answering ChallengeCode0
Copy-Move Forgery Detection and Question Answering for Remote Sensing ImageCode0
Short Text Conversation Based on Deep Neural Network and Analysis on Evaluation MeasuresCode0
Expletives in Universal Dependency TreebanksCode0
ATP: Directed Graph Embedding with Asymmetric Transitivity PreservationCode0
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized ContextsCode0
Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question PromptsCode0
Improving Quality of a Post's Set of Answers in Stack OverflowCode0
Improving QA Generalization by Concurrent Modeling of Multiple BiasesCode0
Improving Question Answering over Incomplete KBs with Knowledge-Aware ReaderCode0
ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation FusionCode0
Improving Question Answering Performance Using Knowledge Distillation and Active LearningCode0
Improving Machine Reading Comprehension with General Reading StrategiesCode0
Simple and Effective Text Matching with Richer Alignment FeaturesCode0
Match-Prompt: Improving Multi-task Generalization Ability for Neural Text Matching via Prompt LearningCode0
Improving Question Answering with External KnowledgeCode0
QuASE: Question-Answer Driven Sentence EncodingCode0
Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QACode0
Analysing the Robustness of Dual Encoders for Dense Retrieval Against MisspellingsCode0
Improving language models by retrieving from trillions of tokensCode0
Improving Health Question Answering with Reliable and Time-Aware Evidence RetrievalCode0
Atomic Consistency Preference Optimization for Long-Form Question AnsweringCode0
Improving Knowledge-aware Dialogue Generation via Knowledge Base Question AnsweringCode0
Convolutional Neural Network Architectures for Matching Natural Language SentencesCode0
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented GeneratorCode0
Improving Event Duration Question Answering by Leveraging Existing Temporal Information Extraction DataCode0
Convincing Rationales for Visual Question Answering ReasoningCode0
Improving Complex Knowledge Base Question Answering via Question-to-Action and Question-to-Question AlignmentCode0
Exploiting Sentence-Level Representations for Passage RankingCode0
Improving Consistency in Large Language Models through Chain of GuidanceCode0
A Recurrent BERT-based Model for Question GenerationCode0
SILT: Efficient transformer training for inter-lingual inferenceCode0
A Knowledge-Grounded Multimodal Search-Based Conversational AgentCode0
SocialIQA: Commonsense Reasoning about Social InteractionsCode0
Improve Query Focused Abstractive Summarization by Incorporating Answer RelevanceCode0
Analysing Mathematical Reasoning Abilities of Neural ModelsCode0
Solla: Towards a Speech-Oriented LLM That Hears Acoustic ContextCode0
SOrT-ing VQA Models : Contrastive Gradient Learning for Improved ConsistencyCode0
Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted LearningCode0
Accurate and Regret-aware Numerical Problem Solver for Tabular Question AnsweringCode0
Improved RAMEN: Towards Domain Generalization for Visual Question AnsweringCode0
Combining Lexical and Dense Retrieval for Computationally Efficient Multi-hop Question AnsweringCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94Unverified
2FPNet (ensemble)EM90.87Unverified
3IE-NetV2 (ensemble)EM90.86Unverified
4SA-Net on Albert (ensemble)EM90.72Unverified
5SA-Net-V2 (ensemble)EM90.68Unverified
6FPNet (ensemble)EM90.6Unverified
7Retro-Reader (ensemble)EM90.58Unverified
8EntitySpanFocusV2 (ensemble)EM90.52Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49Unverified
10EntitySpanFocus+AT (ensemble)EM90.45Unverified