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 8776–8800 of 10817 papers

TitleStatusHype
From Chat Logs to Collective Insights: Aggregative Question Answering—0
From Data to Commonsense Reasoning: The Use of Large Language Models for Explainable AI—0
From Easy to Hard: Learning Language-guided Curriculum for Visual Question Answering on Remote Sensing Data—0
From Easy to Hard: Two-stage Selector and Reader for Multi-hop Question Answering—0
From Entity Linking to Question Answering -- Recent Progress on Semantic Grounding Tasks—0
From FiLM to Video: Multi-turn Question Answering with Multi-modal Context—0
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project—0
From Head to Tail: Towards Balanced Representation in Large Vision-Language Models through Adaptive Data Calibration—0
From Images to Textual Prompts: Zero-Shot Visual Question Answering With Frozen Large Language Models—0
From Image to Language: A Critical Analysis of Visual Question Answering (VQA) Approaches, Challenges, and Opportunities—0
From Instructions to Constraints: Language Model Alignment with Automatic Constraint Verification—0
From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs—0
From Known to the Unknown: Transferring Knowledge to Answer Questions about Novel Visual and Semantic Concepts—0
From Large Language Models to Knowledge Graphs for Biomarker Discovery in Cancer—0
From Misleading Queries to Accurate Answers: A Three-Stage Fine-Tuning Method for LLMs—0
From Parse-Execute to Parse-Execute-Refine: Improving Semantic Parser for Complex Question Answering over Knowledge Base—0
From Pixels to Objects: Cubic Visual Attention for Visual Question Answering—0
From Pixels to Prose: Advancing Multi-Modal Language Models for Remote Sensing—0
From Pixels to Words: Leveraging Explainability in Face Recognition through Interactive Natural Language Processing—0
From Questions to Insightful Answers: Building an Informed Chatbot for University Resources—0
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries—0
From RAG to Agentic: Validating Islamic-Medicine Responses with LLM Agents—0
From Retrieval to Generation: Comparing Different Approaches—0
From Shakespeare to Twitter: What are Language Styles all about?—0
From Shallow to Deep: Compositional Reasoning over Graphs for 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