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 3326–3350 of 10817 papers

TitleStatusHype
Enhancing Multimodal LLM for Detailed and Accurate Video Captioning using Multi-Round Preference Optimization—0
Big Help or Big Brother? Auditing Tracking, Profiling, and Personalization in Generative AI Assistants—0
EyeFound: A Multimodal Generalist Foundation Model for Ophthalmic Imaging—0
Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models—0
A Heterogeneous Graph with Factual, Temporal and Logical Knowledge for Question Answering Over Dynamic Contexts—0
Enhancing Pipeline-Based Conversational Agents with Large Language Models—0
Enhancing Post-Hoc Attributions in Long Document Comprehension via Coarse Grained Answer Decomposition—0
Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG—0
Enhancing Q&A with Domain-Specific Fine-Tuning and Iterative Reasoning: A Comparative Study—0
A Novel Approach Towards Incorporating Context Processing Capabilities in NLIDB System—0
Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models—0
Enhancing Question Answering on Charts Through Effective Pre-training Tasks—0
Enhancing Question Answering Precision with Optimized Vector Retrieval and Instructions—0
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy—0
Enhancing Retrieval-Augmented LMs with a Two-stage Consistency Learning Compressor—0
But What Do We Actually Know?—0
Enhancing Review Comprehension with Domain-Specific Commonsense—0
Look Before You Decide: Prompting Active Deduction of MLLMs for Assumptive Reasoning—0
Enhancing Root Extractors Using Light Stemmers—0
A Novel Approach for Automatic Bengali Question Answering System using Semantic Similarity Analysis—0
Enhancing Scientific Visual Question Answering through Multimodal Reasoning and Ensemble Modeling—0
Bidirectional Long Short-Term Memory Networks for Relation Classification—0
Enhancing Software-Related Information Extraction via Single-Choice Question Answering with Large Language Models—0
AfriMed-QA: A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark Dataset—0
DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines—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