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 2401–2425 of 10817 papers

TitleStatusHype
HiddenTables & PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies—0
Multi-LLM QA with Embodied Exploration—0
VCEval: Rethinking What is a Good Educational Video and How to Automatically Evaluate It—0
MMLU-SR: A Benchmark for Stress-Testing Reasoning Capability of Large Language Models—0
Large Language Models as Interpolated and Extrapolated Event PredictorsCode0
On the Hardness of Faithful Chain-of-Thought Reasoning in Large Language Models—0
Beyond Raw Videos: Understanding Edited Videos with Large Multimodal ModelCode0
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-trainingCode1
CHiSafetyBench: A Chinese Hierarchical Safety Benchmark for Large Language ModelsCode2
Integrating Large Language Models with Graph-based Reasoning for Conversational Question Answering—0
GLiNER multi-task: Generalist Lightweight Model for Various Information Extraction Tasks—0
EWEK-QA: Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems—0
VANE-Bench: Video Anomaly Evaluation Benchmark for Conversational LMMsCode1
Efficient Prompting for LLM-based Generative Internet of Things—0
CHIRON: Rich Character Representations in Long-Form NarrativesCode0
Vision-Language Models Meet Meteorology: Developing Models for Extreme Weather Events Detection with HeatmapsCode1
SHMamba: Structured Hyperbolic State Space Model for Audio-Visual Question Answering—0
Large language model validity via enhanced conformal prediction methodsCode1
BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-HaystackCode9
Detecting and Evaluating Medical Hallucinations in Large Vision Language Models—0
Enhancing Question Answering on Charts Through Effective Pre-training Tasks—0
IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerceCode1
Precision Empowers, Excess Distracts: Visual Question Answering With Dynamically Infused Knowledge In Language Models—0
Datasets for Multilingual Answer Sentence Selection—0
A Training-free Sub-quadratic Cost Transformer Model Serving Framework With Hierarchically Pruned Attention—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