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 18011850 of 10817 papers

TitleStatusHype
AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric KnowledgeCode1
I2I: Initializing Adapters with Improvised KnowledgeCode1
Large Language Models Struggle to Learn Long-Tail KnowledgeCode1
I Can't Believe There's No Images! Learning Visual Tasks Using only Language SupervisionCode1
Benchmarking large language models for biomedical natural language processing applications and recommendationsCode1
CBench: Towards Better Evaluation of Question Answering Over Knowledge GraphsCode1
Compositional Semantic Parsing on Semi-Structured TablesCode1
CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question AnsweringCode1
RussianSuperGLUE: A Russian Language Understanding Evaluation BenchmarkCode1
R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question AnsweringCode1
CCQA: A New Web-Scale Question Answering Dataset for Model Pre-TrainingCode1
SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check ConsistencyCode1
Large Language Models in the Clinic: A Comprehensive BenchmarkCode1
QuestEval: Summarization Asks for Fact-based EvaluationCode1
Compositional Exemplars for In-context LearningCode1
Cerbero-7B: A Leap Forward in Language-Specific LLMs Through Enhanced Chat Corpus Generation and EvaluationCode1
SATORI-R1: Incentivizing Multimodal Reasoning with Spatial Grounding and Verifiable RewardsCode1
SCAI-QReCC Shared Task on Conversational Question AnsweringCode1
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual ConceptsCode1
Consistency-preserving Visual Question Answering in Medical ImagingCode1
Large language model validity via enhanced conformal prediction methodsCode1
IMPACT: A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design PatentsCode1
Lattice CNNs for Matching Based Chinese Question AnsweringCode1
Complex Reasoning over Logical Queries on Commonsense Knowledge GraphsCode1
SCAR: Efficient Instruction-Tuning for Large Language Models via Style Consistency-Aware Response RankingCode1
ChainCQG: Flow-Aware Conversational Question GenerationCode1
Complex Knowledge Base Question Answering: A SurveyCode1
Scene Text Visual Question AnsweringCode1
Large Language Models can be Guided to Evade AI-Generated Text DetectionCode1
Complex Temporal Question Answering on Knowledge GraphsCode1
Fine-tuned LLMs Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over WikidataCode1
Large Language Models are Temporal and Causal Reasoners for Video Question AnsweringCode1
Large Language Models Encode Clinical KnowledgeCode1
Improving Language Understanding by Generative Pre-TrainingCode1
LaPA: Latent Prompt Assist Model For Medical Visual Question AnsweringCode1
Chain-of-Skills: A Configurable Model for Open-domain Question AnsweringCode1
CompAct: Compressing Retrieved Documents Actively for Question AnsweringCode1
Large Language Models are Built-in Autoregressive Search EnginesCode1
Language Quantized AutoEncoders: Towards Unsupervised Text-Image AlignmentCode1
Are Large Language Models Ready for Healthcare? A Comparative Study on Clinical Language UnderstandingCode1
ComplexTempQA: A Large-Scale Dataset for Complex Temporal Question AnsweringCode1
Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base EmbeddingsCode1
Language Repository for Long Video UnderstandingCode1
Improving Passage Retrieval with Zero-Shot Question GenerationCode1
SD-QA: Spoken Dialectal Question Answering for the Real WorldCode1
Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word AlignmentCode1
Large Language Models are Pretty Good Zero-Shot Video Game Bug DetectorsCode1
Language Models as Science TutorsCode1
Language Models are Unsupervised Multitask LearnersCode1
Language Models Learn to Mislead Humans via RLHFCode1
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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