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 7101–7150 of 10817 papers

TitleStatusHype
Evidence-Enhanced Triplet Generation Framework for Hallucination Alleviation in Generative Question Answering—0
Exploring the Robustness of Language Models for Tabular Question Answering via Attention Analysis—0
Hanfu-Bench: A Multimodal Benchmark on Cross-Temporal Cultural Understanding and Transcreation—0
Accelerating Manufacturing Scale-Up from Material Discovery Using Agentic Web Navigation and Retrieval-Augmented AI for Process Engineering Schematics Design—0
Handling Multiword Expressions in Causality Estimation—0
Handling Anomalies of Synthetic Questions in Unsupervised Question Answering—0
Hand in Glove: Deep Feature Fusion Network Architectures for Answer Quality Prediction in Community Question Answering—0
On the Transferability of Minimal Prediction Preserving Inputs in Question Answering—0
HAMMR: HierArchical MultiModal React agents for generic VQA—0
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law—0
A Supervised Approach for Enriching the Relational Structure of Frame Semantics in FrameNet—0
OntoLearn Reloaded: A Graph-Based Algorithm for Taxonomy Induction—0
Ontologically Grounded Multi-sense Representation Learning for Semantic Vector Space Models—0
Ontology-Aware RAG for Improved Question-Answering in Cybersecurity Education—0
Ontology-based and User-focused Automatic Text Summarization (OATS): Using COVID-19 Risk Factors as an Example—0
Ontology-based question answering over corporate structured data—0
Ontology-Based Retrieval \& Neural Approaches for BioASQ Ideal Answer Generation—0
EvolveSearch: An Iterative Self-Evolving Search Agent—0
Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering—0
A Multi-answer Multi-task Framework for Real-world Machine Reading Comprehension—0
Pangloss: Fast Entity Linking in Noisy Text Environments—0
OODTE: A Differential Testing Engine for the ONNX Optimizer—0
EVQAScore: Efficient Video Question Answering Data Evaluation—0
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering—0
ConSens: Assessing context grounding in open-book question answering—0
EWEK-QA: Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems—0
HalluMix: A Task-Agnostic, Multi-Domain Benchmark for Real-World Hallucination Detection—0
A Summary of the ALQAC 2021 Competition—0
Open-Domain Information Access with Talking Robots—0
Open-Domain Question Answering—0
PALRACE: Reading Comprehension Dataset with Human Data and Labeled Rationales—0
A Sui Generis QA Approach using RoBERTa for Adverse Drug Event Identification—0
Consecutive Question Generation with Multitask Joint Reranking and Dynamic Rationale Search—0
A Multi-Agent Framework for Mitigating Dialect Biases in Privacy Policy Question-Answering Systems—0
Hallucination-minimized Data-to-answer Framework for Financial Decision-makers—0
Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models—0
ConQuest: Contextual Question Paraphrasing through Answer-Aware Synthetic Question Generation—0
PALM: Pre-training an Autoencoding\&Autoregressive Language Model for Context-conditioned Generation—0
PAM: Understanding Product Images in Cross Product Category Attribute Extraction—0
Open Domain Question Answering with Conflicting Contexts—0
Hallucination Detection in LLMs via Topological Divergence on Attention Graphs—0
Open-Domain Why-Question Answering with Adversarial Learning to Encode Answer Texts—0
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning—0
Open-ended Commonsense Reasoning with Unrestricted Answer Scope—0
Open-Ended Long-Form Video Question Answering via Hierarchical Convolutional Self-Attention Networks—0
A Study on the Implementation Method of an Agent-Based Advanced RAG System Using Graph—0
Expanding Frozen Vision-Language Models without Retraining: Towards Improved Robot Perception—0
Categorization of Semantic Roles for Dictionary Definitions—0
Open-Ended Visual Question Answering by Multi-Modal Domain Adaptation—0
Hallucination Augmented Recitations for Language Models—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