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 4151–4175 of 10817 papers

TitleStatusHype
InternalInspector I^2: Robust Confidence Estimation in LLMs through Internal States—0
Refiner: Restructure Retrieval Content Efficiently to Advance Question-Answering CapabilitiesCode0
Adaptive Query Rewriting: Aligning Rewriters through Marginal Probability of Conversational Answers—0
Towards Lifelong Dialogue Agents via Timeline-based Memory Management—0
Multi-LLM QA with Embodied Exploration—0
HiddenTables & PyQTax: A Cooperative Game and Dataset For TableQA to Ensure Scale and Data Privacy Across a Myriad of Taxonomies—0
Mixture-of-Subspaces in Low-Rank AdaptationCode0
Identifying Query-Relevant Neurons in Large Language Models for Long-Form TextsCode0
Large Language Models as Interpolated and Extrapolated Event PredictorsCode0
MMLU-SR: A Benchmark for Stress-Testing Reasoning Capability of Large Language Models—0
On the Hardness of Faithful Chain-of-Thought Reasoning in Large Language Models—0
Beyond Raw Videos: Understanding Edited Videos with Large Multimodal ModelCode0
VCEval: Rethinking What is a Good Educational Video and How to Automatically Evaluate It—0
CHIRON: Rich Character Representations in Long-Form NarrativesCode0
GLiNER multi-task: Generalist Lightweight Model for Various Information Extraction Tasks—0
Precision Empowers, Excess Distracts: Visual Question Answering With Dynamically Infused Knowledge In Language Models—0
EWEK-QA: Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems—0
Enhancing Question Answering on Charts Through Effective Pre-training Tasks—0
Efficient Prompting for LLM-based Generative Internet of Things—0
Detecting and Evaluating Medical Hallucinations in Large Vision Language Models—0
Datasets for Multilingual Answer Sentence Selection—0
Integrating Large Language Models with Graph-based Reasoning for Conversational Question Answering—0
A Survey of Video Datasets for Grounded Event UnderstandingCode0
A Training-free Sub-quadratic Cost Transformer Model Serving Framework With Hierarchically Pruned Attention—0
SHMamba: Structured Hyperbolic State Space Model for Audio-Visual 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