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 2051–2075 of 10817 papers

TitleStatusHype
Enhancing Visual Question Answering through Ranking-Based Hybrid Training and Multimodal Fusion—0
Vision Language Model for Interpretable and Fine-grained Detection of Safety Compliance in Diverse Workplaces—0
MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data UncertaintyCode0
CROME: Cross-Modal Adapters for Efficient Multimodal LLM—0
Creating Arabic LLM Prompts at Scale—0
Quantum Algorithms for Compositional Text Processing—0
FastFiD: Improve Inference Efficiency of Open Domain Question Answering via Sentence SelectionCode1
Reference-free Hallucination Detection for Large Vision-Language Models—0
SWIFT:A Scalable lightWeight Infrastructure for Fine-TuningCode11
Chain of Condition: Construct, Verify and Solve Conditions for Conditional Question Answering—0
Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMsCode0
MSG-Chart: Multimodal Scene Graph for ChartQACode0
Towards a Generative Approach for Emotion Detection and Reasoning—0
Revisiting Multi-Modal LLM Evaluation—0
Surgical-VQLA++: Adversarial Contrastive Learning for Calibrated Robust Visual Question-Localized Answering in Robotic SurgeryCode1
Enhancing Robustness of Retrieval-Augmented Language Models with In-Context Learning—0
EfficientRAG: Efficient Retriever for Multi-Hop Question AnsweringCode2
Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models—0
Enhancing Healthcare through Large Language Models: A Study on Medical Question Answering—0
Target Prompting for Information Extraction with Vision Language Model—0
Optimus: Accelerating Large-Scale Multi-Modal LLM Training by Bubble Exploitation—0
NatLan: Native Language Prompting Facilitates Knowledge Elicitation Through Language Trigger Provision and Domain Trigger RetentionCode0
Citekit: A Modular Toolkit for Large Language Model Citation GenerationCode1
GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AICode2
500xCompressor: Generalized Prompt Compression for Large Language ModelsCode2
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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