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 526–550 of 10817 papers

TitleStatusHype
Evaluating LLM Reasoning in the Operations Research Domain with ORQACode2
Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerCode2
Fine-Grained Human Feedback Gives Better Rewards for Language Model TrainingCode2
AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLMCode2
ERA-CoT: Improving Chain-of-Thought through Entity Relationship AnalysisCode2
EyeCLIP: A visual-language foundation model for multi-modal ophthalmic image analysisCode2
FakeBench: Probing Explainable Fake Image Detection via Large Multimodal ModelsCode2
End-to-End Navigation with Vision Language Models: Transforming Spatial Reasoning into Question-AnsweringCode2
Are Language Models Puzzle Prodigies? Algorithmic Puzzles Unveil Serious Challenges in Multimodal ReasoningCode2
End-To-End Memory NetworksCode2
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-ImprovementCode2
AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM AgentsCode2
FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character DesignCode2
A Simple Aerial Detection Baseline of Multimodal Language ModelsCode2
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health RecordsCode2
FortisAVQA and MAVEN: a Benchmark Dataset and Debiasing Framework for Robust Multimodal ReasoningCode2
FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Visual Language ModelsCode2
EmbodiedEval: Evaluate Multimodal LLMs as Embodied AgentsCode2
A Pilot Study for Chinese SQL Semantic ParsingCode2
Egocentric Video-Language PretrainingCode2
Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-LearningCode2
E.T. Bench: Towards Open-Ended Event-Level Video-Language UnderstandingCode2
EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent EducationCode2
Efficient One-Pass End-to-End Entity Linking for QuestionsCode2
Dual Diffusion for Unified Image Generation and UnderstandingCode2
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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