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 451–500 of 10817 papers

TitleStatusHype
From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning TasksCode2
Revealing Single Frame Bias for Video-and-Language LearningCode2
FlagEvalMM: A Flexible Framework for Comprehensive Multimodal Model EvaluationCode2
An Embodied Generalist Agent in 3D WorldCode2
FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character DesignCode2
F-LMM: Grounding Frozen Large Multimodal ModelsCode2
FinBERT-QA: Financial Question Answering with pre-trained BERT Language ModelsCode2
Benchmarking Retrieval-Augmented Generation in Multi-Modal ContextsCode2
Fine-Grained Human Feedback Gives Better Rewards for Language Model TrainingCode2
Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory PredictionCode2
Atlas: Few-shot Learning with Retrieval Augmented Language ModelsCode2
Fine-grained Late-interaction Multi-modal Retrieval for Retrieval Augmented Visual Question AnsweringCode2
FortisAVQA and MAVEN: a Benchmark Dataset and Debiasing Framework for Robust Multimodal ReasoningCode2
DeBERTa: Decoding-enhanced BERT with Disentangled AttentionCode2
SensorLLM: Human-Intuitive Alignment of Multivariate Sensor Data with LLMs for Activity RecognitionCode2
ALBERT: A Lite BERT for Self-supervised Learning of Language RepresentationsCode2
Can AI Assistants Know What They Don't Know?Code2
Explore the Limits of Omni-modal Pretraining at ScaleCode2
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq ModelCode2
Evaluating LLM Reasoning in the Operations Research Domain with ORQACode2
Evaluating RAG-Fusion with RAGElo: an Automated Elo-based FrameworkCode2
Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerCode2
DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific LiteratureCode2
DanmakuTPPBench: A Multi-modal Benchmark for Temporal Point Process Modeling and UnderstandingCode2
STaR: Bootstrapping Reasoning With ReasoningCode2
Beyond Accuracy: Behavioral Testing of NLP models with CheckListCode2
Data Science with LLMs and Interpretable ModelsCode2
Streaming Video Question-Answering with In-context Video KV-Cache RetrievalCode2
E.T. Bench: Towards Open-Ended Event-Level Video-Language UnderstandingCode2
Deep Bidirectional Language-Knowledge Graph PretrainingCode2
Debiasing Multimodal Large Language ModelsCode2
Analyzing and Boosting the Power of Fine-Grained Visual Recognition for Multi-modal Large Language ModelsCode2
SynthVLM: High-Efficiency and High-Quality Synthetic Data for Vision Language ModelsCode2
Beyond Text: Frozen Large Language Models in Visual Signal ComprehensionCode2
TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document ReasoningCode2
TabPedia: Towards Comprehensive Visual Table Understanding with Concept SynergyCode2
BiMediX2: Bio-Medical EXpert LMM for Diverse Medical ModalitiesCode2
Patho-R1: A Multimodal Reinforcement Learning-Based Pathology Expert ReasonerCode2
Task Me AnythingCode2
TCMBench: A Comprehensive Benchmark for Evaluating Large Language Models in Traditional Chinese MedicineCode2
EyeCLIP: A visual-language foundation model for multi-modal ophthalmic image analysisCode2
ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language ModelsCode2
End-To-End Memory NetworksCode2
End-to-End Navigation with Vision Language Models: Transforming Spatial Reasoning into Question-AnsweringCode2
ANAH: Analytical Annotation of Hallucinations in Large Language ModelsCode2
Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-LearningCode2
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-ImprovementCode2
Egocentric Video-Language PretrainingCode2
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health RecordsCode2
EfficientRAG: Efficient Retriever for Multi-Hop Question AnsweringCode2
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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