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 4301–4325 of 10817 papers

TitleStatusHype
Increasing the LLM Accuracy for Question Answering: Ontologies to the Rescue!—0
KG-RAG: Bridging the Gap Between Knowledge and Creativity—0
Inquire, Interact, and Integrate: A Proactive Agent Collaborative Framework for Zero-Shot Multimodal Medical Reasoning—0
EyeFound: A Multimodal Generalist Foundation Model for Ophthalmic Imaging—0
Case-Based Reasoning Approach for Solving Financial Question Answering—0
MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing—0
StackOverflowVQA: Stack Overflow Visual Question Answering Dataset—0
Evaluation of large language model performance on the Biomedical Language Understanding and Reasoning Benchmark—0
LLM-based Multi-Agent Reinforcement Learning: Current and Future Directions—0
VideoQA-SC: Adaptive Semantic Communication for Video Question Answering—0
FinTextQA: A Dataset for Long-form Financial Question Answering—0
KnowledgeHub: An end-to-end Tool for Assisted Scientific Discovery—0
Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality—0
AmazUtah_NLP at SemEval-2024 Task 9: A MultiChoice Question Answering System for Commonsense Defying Reasoning—0
STAR: A Benchmark for Situated Reasoning in Real-World Videos—0
IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues—0
Prompting-based Synthetic Data Generation for Few-Shot Question AnsweringCode0
CinePile: A Long Video Question Answering Dataset and Benchmark—0
SpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models—0
From Questions to Insightful Answers: Building an Informed Chatbot for University Resources—0
CLIP-Powered TASS: Target-Aware Single-Stream Network for Audio-Visual Question Answering—0
KET-QA: A Dataset for Knowledge Enhanced Table Question Answering—0
MetaReflection: Learning Instructions for Language Agents using Past Reflections—0
AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments—0
EconLogicQA: A Question-Answering Benchmark for Evaluating Large Language Models in Economic Sequential ReasoningCode0
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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