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

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Showing 551–600 of 10817 papers

TitleStatusHype
ktrain: A Low-Code Library for Augmented Machine LearningCode2
The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and TransferabilityCode2
Reformer: The Efficient TransformerCode2
Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerCode2
A Pilot Study for Chinese SQL Semantic ParsingCode2
OpenNRE: An Open and Extensible Toolkit for Neural Relation ExtractionCode2
ALBERT: A Lite BERT for Self-supervised Learning of Language RepresentationsCode2
Unified Vision-Language Pre-Training for Image Captioning and VQACode2
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model ParallelismCode2
The Replica Dataset: A Digital Replica of Indoor SpacesCode2
Synthetic QA Corpora Generation with Roundtrip ConsistencyCode2
Document Expansion by Query PredictionCode2
Habitat: A Platform for Embodied AI ResearchCode2
Knowledge Representation Learning: A Quantitative ReviewCode2
Training RNNs as Fast as CNNsCode2
Simple Recurrent Units for Highly Parallelizable RecurrenceCode2
Tracking the World State with Recurrent Entity NetworksCode2
Dialogue Learning With Human-In-The-LoopCode2
End-To-End Memory NetworksCode2
Describe Anything Model for Visual Question Answering on Text-rich ImagesCode1
Warehouse Spatial Question Answering with LLM AgentCode1
Decoupled Seg Tokens Make Stronger Reasoning Video Segmenter and GrounderCode1
Evolving Prompts In-Context: An Open-ended, Self-replicating PerspectiveCode1
SeqPE: Transformer with Sequential Position EncodingCode1
SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative RefinementCode1
Multi-Step Visual Reasoning with Visual Tokens Scaling and VerificationCode1
ECoRAG: Evidentiality-guided Compression for Long Context RAGCode1
OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning MitigationCode1
PAKTON: A Multi-Agent Framework for Question Answering in Long Legal AgreementsCode1
VideoCAD: A Large-Scale Video Dataset for Learning UI Interactions and 3D Reasoning from CAD SoftwareCode1
Interpreting Chest X-rays Like a Radiologist: A Benchmark with Clinical ReasoningCode1
Puzzled by Puzzles: When Vision-Language Models Can't Take a HintCode1
Scaling External Knowledge Input Beyond Context Windows of LLMs via Multi-Agent CollaborationCode1
MangaVQA and MangaLMM: A Benchmark and Specialized Model for Multimodal Manga UnderstandingCode1
KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge TracingCode1
NeuSym-RAG: Hybrid Neural Symbolic Retrieval with Multiview Structuring for PDF Question AnsweringCode1
MineAnyBuild: Benchmarking Spatial Planning for Open-world AI AgentsCode1
Visualized Text-to-Image RetrievalCode1
Are Vision Language Models Ready for Clinical Diagnosis? A 3D Medical Benchmark for Tumor-centric Visual Question AnsweringCode1
SATORI-R1: Incentivizing Multimodal Reasoning with Spatial Grounding and Verifiable RewardsCode1
VEAttack: Downstream-agnostic Vision Encoder Attack against Large Vision Language ModelsCode1
MetaGen Blended RAG: Higher Accuracy for Domain-Specific Q&A Without Fine-TuningCode1
Benchmarking Retrieval-Augmented Multimomal Generation for Document Question AnsweringCode1
Mitigating Hallucinations in Vision-Language Models through Image-Guided Head SuppressionCode1
Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement LearningCode1
O^2-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question AnsweringCode1
HopWeaver: Synthesizing Authentic Multi-Hop Questions Across Text CorporaCode1
The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval AugmentationCode1
From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement LearningCode1
Reasoning-OCR: Can Large Multimodal Models Solve Complex Logical Reasoning Problems from OCR Cues?Code1
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All datasetsSQuAD2.0SQuAD1.1HotpotQAPIQABoolQCOPATriviaQASQuAD1.1 devNatural QuestionsOpenBookQATruthfulQAMultiRC

Benchmark Results

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