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 8601–8650 of 10817 papers

TitleStatusHype
FabKG: A Knowledge graph of Manufacturing Science domain utilizing structured and unconventional unstructured knowledge source—0
FabricQA-Extractor: A Question Answering System to Extract Information from Documents using Natural Language Questions—0
Fabula Entropy Indexing: Objective Measures of Story Coherence—0
Face-MLLM: A Large Face Perception Model—0
Face-to-Face Contrastive Learning for Social Intelligence Question-Answering—0
FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering—0
FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering—0
Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge—0
FactTest: Factuality Testing in Large Language Models with Finite-Sample and Distribution-Free Guarantees—0
Fact-Tree Reasoning for N-ary Question Answering over Knowledge Graphs—0
Factuality or Fiction? Benchmarking Modern LLMs on Ambiguous QA with Citations—0
Fair comparison of knowledge graphs for question answering—0
FairSteer: Inference Time Debiasing for LLMs with Dynamic Activation Steering—0
Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering—0
Faithful Reasoning Using Large Language Models—0
Faithful Temporal Question Answering over Heterogeneous Sources—0
FANS -- Formal Answer Selection for Natural Language Math Reasoning Using Lean4—0
Fantastic Questions and Where to Find Them: FairytaleQA--An Authentic Dataset for Narrative Comprehension—0
Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension—0
FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions—0
FAQ-based Question Answering via Knowledge Anchors—0
FAQ-based Question Answering via Word Alignment—0
FAQ-Gen: An automated system to generate domain-specific FAQs to aid content comprehension—0
FAQ Search using Transformers—0
FashionVQA: A Domain-Specific Visual Question Answering System—0
FASIONAD++ : Integrating High-Level Instruction and Information Bottleneck in FAt-Slow fusION Systems for Enhanced Safety in Autonomous Driving with Adaptive Feedback—0
Fast and Large-scale Unsupervised Relation Extraction—0
Fast Clustering of Short Text Streams Using Efficient Cluster Indexing and Dynamic Similarity Thresholds—0
Fast DistilBERT on CPUs—0
FastHybrid: A Hybrid Model for Efficient Answer Selection—0
Fast Knowledge Graph Completion using Graphics Processing Units—0
Fast Node Embeddings: Learning Ego-Centric Representations—0
Fast or Slow? Integrating Fast Intuition and Deliberate Thinking for Enhancing Visual Question Answering—0
Fast Quantum Algorithm for Attention Computation—0
FastRAG: Retrieval Augmented Generation for Semi-structured Data—0
FaVChat: Unlocking Fine-Grained Facail Video Understanding with Multimodal Large Language Models—0
FBK-HLT: An Application of Semantic Textual Similarity for Answer Selection in Community Question Answering—0
FCICU: The Integration between Sense-Based Kernel and Surface-Based Methods to Measure Semantic Textual Similarity—0
FC-KBQA: A Fine-to-Coarse Composition Framework for Knowledge Base Question Answering—0
Fear the REAPER: A System for Automatic Multi-Document Summarization with Reinforcement Learning—0
Feature4X: Bridging Any Monocular Video to 4D Agentic AI with Versatile Gaussian Feature Fields—0
Feature-Based Selection of Dependency Paths in Ad Hoc Information Retrieval—0
Feature Engineering in Learning-to-Rank for Community Question Answering Task—0
Feature extraction and evaluation for BioMedical Question Answering—0
Feature Optimization for Constituent Parsing via Neural Networks—0
Feature-Rich Networks for Knowledge Base Completion—0
Feature-Rich Twitter Named Entity Recognition and Classification—0
Feature-Rich Two-Stage Logistic Regression for Monolingual Alignment—0
Feature Selection Using a Semantic Hierarchy for Event Recognition and Type Classification—0
Federated In-Context Learning: Iterative Refinement for Improved Answer Quality—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