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 33013350 of 10817 papers

TitleStatusHype
Enhancing Cross-Prompt Transferability in Vision-Language Models through Contextual Injection of Target TokensCode0
Building a Non-Trivial Paraphrase Corpus Using Multiple Machine Translation SystemsCode0
"John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of FeasibilityCode0
PQA: Zero-shot Protein Question Answering for Free-form Scientific Enquiry with Large Language ModelsCode0
Joint Answering and Explanation for Visual Commonsense ReasoningCode0
cViL: Cross-Lingual Training of Vision-Language Models using Knowledge DistillationCode0
Ancient Wisdom, Modern Tools: Exploring Retrieval-Augmented LLMs for Ancient Indian PhilosophyCode0
JNLP Team: Deep Learning for Legal Processing in COLIEE 2020Code0
Building a Swedish Question-Answering ModelCode0
Enhancing Healthcare LLM Trust with Atypical Presentations RecalibrationCode0
Joint Learning of Answer Selection and Answer Summary Generation in Community Question AnsweringCode0
Customized Retrieval Augmented Generation and Benchmarking for EDA Tool Documentation QACode0
A Dual-Attention Learning Network with Word and Sentence Embedding for Medical Visual Question AnsweringCode0
JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering CapabilityCode0
IUCM at SemEval-2018 Task 11: Similar-Topic Texts as a Comprehension Knowledge SourceCode0
Jack the Reader -- A Machine Reading FrameworkCode0
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question AnsweringCode0
Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable ModelsCode0
Iterative Alternating Neural Attention for Machine ReadingCode0
Problem-Solving in Language Model NetworksCode0
Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch CorrectnessCode0
Is That Your Final Answer? Test-Time Scaling Improves Selective Question AnsweringCode0
Task-Adaptive Tokenization: Enhancing Long-Form Text Generation Efficacy in Mental Health and BeyondCode0
ANTIQUE: A Non-Factoid Question Answering BenchmarkCode0
CulFiT: A Fine-grained Cultural-aware LLM Training Paradigm via Multilingual Critique Data SynthesisCode0
CUE: An Uncertainty Interpretation Framework for Text Classifiers Built on Pre-Trained Language ModelsCode0
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural NetworksCode0
Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language ModelsCode0
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval ModelsCode0
Enhancing Paraphrase Type Generation: The Impact of DPO and RLHF Evaluated with Human-Ranked DataCode0
ISCAS at SemEval-2020 Task 5: Pre-trained Transformers for Counterfactual Statement ModelingCode0
IQ-VQA: Intelligent Visual Question AnsweringCode0
iREL at SemEval-2024 Task 9: Improving Conventional Prompting Methods for Brain TeasersCode0
Is Multimodal Vision Supervision Beneficial to Language?Code0
iParaphrasing: Extracting Visually Grounded Paraphrases via an ImageCode0
Investigating the Shortcomings of LLMs in Step-by-Step Legal ReasoningCode0
IQA: Interactive Query Construction in Semantic Question Answering SystemsCode0
Protecting multimodal large language models against misleading visualizationsCode0
ISQA: Informative Factuality Feedback for Scientific SummarizationCode0
CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMsCode0
Enhancing Retrieval in QA Systems with Derived Feature AssociationCode0
PSYCHIC: A Neuro-Symbolic Framework for Knowledge Graph Question-Answering GroundingCode0
Introducing MathQA -- A Math-Aware Question Answering SystemCode0
Investigating Post-pretraining Representation Alignment for Cross-Lingual Question AnsweringCode0
Auto-hMDS: Automatic Construction of a Large Heterogeneous Multilingual Multi-Document Summarization CorpusCode0
IntKB: A Verifiable Interactive Framework for Knowledge Base CompletionCode0
InterroLang: Exploring NLP Models and Datasets through Dialogue-based ExplanationsCode0
Intrinsic Subgraph Generation for Interpretable Graph based Visual Question AnsweringCode0
Knowledge Base Index Compression via Dimensionality and Precision ReductionCode0
Leveraging QA Datasets to Improve Generative Data AugmentationCode0
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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