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 14261450 of 10817 papers

TitleStatusHype
Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical ReasoningCode1
Invariant Grounding for Video Question AnsweringCode1
Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity LinkingCode1
Are Bias Mitigation Techniques for Deep Learning Effective?Code1
BERT-kNN: Adding a kNN Search Component to Pretrained Language Models for Better QACode1
Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual NoiseCode1
DialogLM: Pre-trained Model for Long Dialogue Understanding and SummarizationCode1
DialSim: A Real-Time Simulator for Evaluating Long-Term Multi-Party Dialogue Understanding of Conversational AgentsCode1
Bridging Anaphora Resolution as Question AnsweringCode1
AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label EmbeddingCode1
DEXTER: A Benchmark for open-domain Complex Question Answering using LLMsCode1
JaQuAD: Japanese Question Answering Dataset for Machine Reading ComprehensionCode1
BERTVision -- A Parameter-Efficient Approach for Question AnsweringCode1
DeVLBert: Learning Deconfounded Visio-Linguistic RepresentationsCode1
Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion Approach for 3D VQACode1
BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity AllocationCode1
KALA: Knowledge-Augmented Language Model AdaptationCode1
KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree SearchCode1
Dialog Inpainting: Turning Documents into DialogsCode1
KETM:A Knowledge-Enhanced Text Matching methodCode1
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning StrategiesCode1
Detecting and Preventing Hallucinations in Large Vision Language ModelsCode1
KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language ModelsCode1
Big Bird: Transformers for Longer SequencesCode1
Designing a Minimal Retrieve-and-Read System for Open-Domain Question AnsweringCode1
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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