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 126–150 of 10817 papers

TitleStatusHype
DARWIN 1.5: Large Language Models as Materials Science Adapted LearnersCode3
Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning AgentCode3
A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and TrustworthinessCode3
Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical PerceptionCode3
LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive MemoryCode3
ReMEmbR: Building and Reasoning Over Long-Horizon Spatio-Temporal Memory for Robot NavigationCode3
RAGEval: Scenario Specific RAG Evaluation Dataset Generation FrameworkCode3
Odyssey: Empowering Minecraft Agents with Open-World SkillsCode3
Evaluating Large Language Models with fmevalCode3
Searching for Best Practices in Retrieval-Augmented GenerationCode3
Detecting hallucinations in large language models using semantic entropyCode3
VoCo-LLaMA: Towards Vision Compression with Large Language ModelsCode3
AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive ReasoningCode3
VideoGPT+: Integrating Image and Video Encoders for Enhanced Video UnderstandingCode3
Flash-VStream: Memory-Based Real-Time Understanding for Long Video StreamsCode3
Husky: A Unified, Open-Source Language Agent for Multi-Step ReasoningCode3
CRAG -- Comprehensive RAG BenchmarkCode3
GNN-RAG: Graph Neural Retrieval for Large Language Model ReasoningCode3
Hawk: Learning to Understand Open-World Video AnomaliesCode3
Efficient Multimodal Large Language Models: A SurveyCode3
From Matching to Generation: A Survey on Generative Information RetrievalCode3
MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of ExpertsCode3
View Selection for 3D Captioning via Diffusion RankingCode3
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video UnderstandingCode3
Evaluating Text-to-Visual Generation with Image-to-Text GenerationCode3
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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