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 3051–3075 of 10817 papers

TitleStatusHype
VLM-Assisted Continual learning for Visual Question Answering in Self-Driving—0
Hypo3D: Exploring Hypothetical Reasoning in 3D—0
Multilingual State Space Models for Structured Question Answering in Indic LanguagesCode0
Memory-Efficient Fine-Tuning of Transformers via Token SelectionCode0
CALM: Unleashing the Cross-Lingual Self-Aligning Ability of Language Model Question Answering—0
General Embedding vs. Task-Specific Embedding: A Comparative Approach to Enhancing NLP Performance—0
Hybrid Graphs for Table-and-Text based Question Answering using LLMs—0
Anatomy Might Be All You Need: Forecasting What to Do During Surgery—0
Cross-Language Approach for Quranic QA—0
InnerThoughts: Disentangling Representations and Predictions in Large Language Models—0
3D-MoE: A Mixture-of-Experts Multi-modal LLM for 3D Vision and Pose Diffusion via Rectified Flow—0
Multiple Abstraction Level Retrieve Augment Generation—0
Comprehensive Evaluation for a Large Scale Knowledge Graph Question Answering Service—0
Options-Aware Dense Retrieval for Multiple-Choice query Answering—0
Large Models in Dialogue for Active Perception and Anomaly DetectionCode0
Provence: efficient and robust context pruning for retrieval-augmented generation—0
PISCO: Pretty Simple Compression for Retrieval-Augmented Generation—0
A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis—0
URAG: Implementing a Unified Hybrid RAG for Precise Answers in University Admission Chatbots -- A Case Study at HCMUT—0
Scaling Large Vision-Language Models for Enhanced Multimodal Comprehension In Biomedical Image Analysis—0
Adapting Biomedical Abstracts into Plain language using Large Language Models—0
How to Mitigate Information Loss in Knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback—0
Complete Chess Games Enable LLM Become A Chess Master—0
CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs—0
Federated Retrieval Augmented Generation for Multi-Product 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