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 5976–6000 of 10817 papers

TitleStatusHype
An Improved Traditional Chinese Evaluation Suite for Foundation Model—0
Is your benchmark truly adversarial? AdvScore: Evaluating Human-Grounded Adversarialness—0
Low Resource Dependency Parsing: Cross-lingual Parameter Sharing in a Neural Network Parser—0
A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis—0
Low-Resource Semantic Role Labeling—0
3DLLM-Mem: Long-Term Spatial-Temporal Memory for Embodied 3D Large Language Model—0
Compositional Physical Reasoning of Objects and Events from Videos—0
LRRA:A Transparent Neural-Symbolic Reasoning Framework for Real-World Visual Question Answering—0
Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving—0
Learning to Generate Questions by Learning What not to Generate—0
DISLOG: A logic-based language for processing discourse structures—0
Learning to Focus when Ranking Answers—0
Learning to Extract Attribute Value from Product via Question Answering: A Multi-task Approach—0
Benchmarking Multimodal LLMs on Recognition and Understanding over Chemical Tables—0
Learning to Disambiguate by Asking Discriminative Questions—0
Learning-to-Defer for Extractive Question Answering—0
Disentangling Online Chats with DAG-Structured LSTMs—0
Learning to Decompose Compound Questions with Reinforcement Learning—0
Learning to Coordinate Multiple Reinforcement Learning Agents for Diverse Query Reformulation—0
Disentangling Knowledge-based and Visual Reasoning by Question Decomposition in KB-VQA—0
ADVISE: Symbolism and External Knowledge for Decoding Advertisements—0
Learning to Compute Word Embeddings On the Fly—0
Learning to Compress Contexts for Efficient Knowledge-based Visual Question Answering—0
Learning to Compose Diversified Prompts for Image Emotion Classification—0
Disease Identification From Unstructured User Input—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