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 9511000 of 10817 papers

TitleStatusHype
Ditch the Gold Standard: Re-evaluating Conversational Question AnsweringCode1
In Defense of Grid Features for Visual Question AnsweringCode1
IndicSQuAD: A Comprehensive Multilingual Question Answering Dataset for Indic LanguagesCode1
Indirect Supervision for Relation Extraction using Question-Answer PairsCode1
InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language ModelsCode1
InfMLLM: A Unified Framework for Visual-Language TasksCode1
A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsCode1
Distinguishing Ignorance from Error in LLM HallucinationsCode1
Diversify Question Generation with Retrieval-Augmented Style TransferCode1
Distilled Dual-Encoder Model for Vision-Language UnderstandingCode1
INSIDE: LLMs' Internal States Retain the Power of Hallucination DetectionCode1
An Empirical Study of Pre-trained Transformers for Arabic Information ExtractionCode1
Distilling Knowledge from Reader to Retriever for Question AnsweringCode1
Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation ExtractorsCode1
InstructionGPT-4: A 200-Instruction Paradigm for Fine-Tuning MiniGPT-4Code1
IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerceCode1
Interactive Language Learning by Question AnsweringCode1
A Dataset for Interactive Vision-Language Navigation with Unknown Command FeasibilityCode1
Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic ReasoningCode1
Divide and Conquer: Text Semantic Matching with Disentangled Keywords and IntentsCode1
Interpreting Graph Neural Networks for NLP With Differentiable Edge MaskingCode1
Introspective Distillation for Robust Question AnsweringCode1
Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity LinkingCode1
Investigating Prompting Techniques for Zero- and Few-Shot Visual Question AnsweringCode1
Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence AnnotationCode1
Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question AnsweringCode1
It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story BooksCode1
Jack the Reader - A Machine Reading FrameworkCode1
Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence AnnotationCode1
JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense Question AnsweringCode1
Just Ask: Learning to Answer Questions from Millions of Narrated VideosCode1
K-Adapter: Infusing Knowledge into Pre-Trained Models with AdaptersCode1
Disentangling 3D Prototypical Networks For Few-Shot Concept LearningCode1
Discovering Spatio-Temporal Rationales for Video Question AnsweringCode1
A Self-Training Method for Machine Reading Comprehension with Soft Evidence ExtractionCode1
A Semantic-based Method for Unsupervised Commonsense Question AnsweringCode1
DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question AnsweringCode1
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterCode1
Kformer: Knowledge Injection in Transformer Feed-Forward LayersCode1
KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph EmbeddingsCode1
DocNLI: A Large-scale Dataset for Document-level Natural Language InferenceCode1
A Sequential Flow Control Framework for Multi-hop Knowledge Base Question AnsweringCode1
KLEJ: Comprehensive Benchmark for Polish Language UnderstandingCode1
Knowing More About Questions Can Help: Improving Calibration in Question AnsweringCode1
Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual NoiseCode1
Knowledge-Based Video Question Answering with Unsupervised Scene DescriptionsCode1
Knowledge-Driven CoT: Exploring Faithful Reasoning in LLMs for Knowledge-intensive Question AnsweringCode1
Differentiable Reasoning on Large Knowledge Bases and Natural LanguageCode1
Adaptive Information Seeking for Open-Domain Question AnsweringCode1
Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge GraphsCode1
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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