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 4626–4650 of 10817 papers

TitleStatusHype
OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models—0
Prompting Explicit and Implicit Knowledge for Multi-hop Question Answering Based on Human Reading Process—0
Survey in Characterization of Semantic Change—0
Can GPT Improve the State of Prior Authorization via Guideline Based Automated Question Answering?—0
A Cognitive Evaluation Benchmark of Image Reasoning and Description for Large Vision-Language Models—0
Unsupervised multiple choices question answering via universal corpus—0
Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language ModelsCode0
ArcSin: Adaptive ranged cosine Similarity injected noise for Language-Driven Visual Tasks—0
JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering CapabilityCode0
Reasoning in Conversation: Solving Subjective Tasks through Dialogue Simulation for Large Language Models—0
MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical ReasoningCode0
VCD: Knowledge Base Guided Visual Commonsense Discovery in Images—0
Self-Refinement of Language Models from External Proxy Metrics Feedback—0
Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for LLM Web Agents—0
PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Synthesis in Question Answering—0
Read and Think: An Efficient Step-wise Multimodal Language Model for Document Understanding and Reasoning—0
Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models—0
Pre-training Cross-lingual Open Domain Question Answering with Large-scale Synthetic SupervisionCode0
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts—0
PAQA: Toward ProActive Open-Retrieval Question Answering—0
LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic SurgeryCode0
GigaPevt: Multimodal Medical Assistant—0
Deep Learning Approaches for Improving Question Answering Systems in Hepatocellular Carcinoma Research—0
Prompt Perturbation Consistency Learning for Robust Language Models—0
Multimodal Transformer With a Low-Computational-Cost Guarantee—0
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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