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 501–525 of 10817 papers

TitleStatusHype
FinBERT-QA: Financial Question Answering with pre-trained BERT Language ModelsCode2
Are Language Models Puzzle Prodigies? Algorithmic Puzzles Unveil Serious Challenges in Multimodal ReasoningCode2
Fine-Grained Human Feedback Gives Better Rewards for Language Model TrainingCode2
Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question AnsweringCode2
F-LMM: Grounding Frozen Large Multimodal ModelsCode2
Dialogue Learning With Human-In-The-LoopCode2
All in One: Exploring Unified Video-Language Pre-trainingCode2
Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented GenerationCode2
Differential TransformerCode2
Direct Preference Optimization of Video Large Multimodal Models from Language Model RewardCode2
GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning AbilitiesCode2
Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerCode2
Explore the Limits of Omni-modal Pretraining at ScaleCode2
EyeCLIP: A visual-language foundation model for multi-modal ophthalmic image analysisCode2
Evaluating RAG-Fusion with RAGElo: an Automated Elo-based FrameworkCode2
Evaluating LLM Reasoning in the Operations Research Domain with ORQACode2
FakeBench: Probing Explainable Fake Image Detection via Large Multimodal ModelsCode2
E.T. Bench: Towards Open-Ended Event-Level Video-Language UnderstandingCode2
A Pilot Study for Chinese SQL Semantic ParsingCode2
AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLMCode2
FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language ModelsCode2
End-To-End Memory NetworksCode2
EmbodiedEval: Evaluate Multimodal LLMs as Embodied AgentsCode2
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health RecordsCode2
Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-LearningCode2
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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