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 3926–3950 of 10817 papers

TitleStatusHype
Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMsCode0
Revisiting Multi-Modal LLM Evaluation—0
MSG-Chart: Multimodal Scene Graph for ChartQACode0
Towards a Generative Approach for Emotion Detection and Reasoning—0
Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models—0
Enhancing Robustness of Retrieval-Augmented Language Models with In-Context Learning—0
Enhancing Healthcare through Large Language Models: A Study on Medical Question Answering—0
NatLan: Native Language Prompting Facilitates Knowledge Elicitation Through Language Trigger Provision and Domain Trigger RetentionCode0
Optimus: Accelerating Large-Scale Multi-Modal LLM Training by Bubble Exploitation—0
Target Prompting for Information Extraction with Vision Language Model—0
Targeted Visual Prompting for Medical Visual Question AnsweringCode0
Leveraging Inter-Chunk Interactions for Enhanced Retrieval in Large Language Model-Based Question Answering—0
Entity Retrieval for Answering Entity-Centric Questions—0
Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset ConstructionCode0
REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language Models—0
Knowledge AI: Fine-tuning NLP Models for Facilitating Scientific Knowledge Extraction and Understanding—0
MMPKUBase: A Comprehensive and High-quality Chinese Multi-modal Knowledge Graph—0
Compositional Physical Reasoning of Objects and Events from Videos—0
BioRAG: A RAG-LLM Framework for Biological Question Reasoning—0
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts—0
Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMs—0
Towards Flexible Evaluation for Generative Visual Question AnsweringCode0
Cost-Effective Hallucination Detection for LLMs—0
Prompting Medical Large Vision-Language Models to Diagnose Pathologies by Visual Question Answering—0
SimpleLLM4AD: An End-to-End Vision-Language Model with Graph Visual Question Answering for Autonomous Driving—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