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 3801–3825 of 10817 papers

TitleStatusHype
Integrating SPARQL and LLMs for Question Answering over Scholarly Data Sources—0
Learning to Compress Contexts for Efficient Knowledge-based Visual Question Answering—0
VisScience: An Extensive Benchmark for Evaluating K12 Educational Multi-modal Scientific Reasoning—0
Enhancing Temporal Understanding in Audio Question Answering for Large Audio Language Models—0
Mitigating Hallucination in Visual-Language Models via Re-Balancing Contrastive Decoding—0
Accelerating Large Language Model Pretraining via LFR Pedagogy: Learn, Focus, and Review—0
MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning—0
Towards Building a Robust Knowledge Intensive Question Answering Model with Large Language Models—0
Breaking Neural Network Scaling Laws with Modularity—0
Shaking Up VLMs: Comparing Transformers and Structured State Space Models for Vision & Language ModelingCode0
Seek and Solve Reasoning for Table Question Answering—0
Just ASR + LLM? A Study on Speech Large Language Models' Ability to Identify and Understand Speaker in Spoken DialogueCode0
Question-Answering Dense Video EventsCode0
WebQuest: A Benchmark for Multimodal QA on Web Page Sequences—0
Combining LLMs and Knowledge Graphs to Reduce Hallucinations in Question Answering—0
COLUMBUS: Evaluating COgnitive Lateral Understanding through Multiple-choice reBUSesCode0
OccLLaMA: An Occupancy-Language-Action Generative World Model for Autonomous Driving—0
Enhancing Healthcare LLM Trust with Atypical Presentations RecalibrationCode0
The representation landscape of few-shot learning and fine-tuning in large language modelsCode0
RAG based Question-Answering for Contextual Response Prediction System—0
Vietnamese Legal Information Retrieval in Question-Answering System—0
MARAGS: A Multi-Adapter System for Multi-Task Retrieval Augmented Generation Question Answering—0
mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding—0
Word and Phrase Features in Graph Convolutional Network for Automatic Question Classification—0
GoT-CQA: Graph-of-Thought Guided Compositional Reasoning for Chart Question Answering—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