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

Showing 35763600 of 10817 papers

TitleStatusHype
Double Retrieval and Ranking for Accurate Question Answering0
Expediting and Elevating Large Language Model Reasoning via Hidden Chain-of-Thought Decoding0
Categorizing Concepts With Basic Level for Vision-to-Language0
Do Transformers Dream of Inference, or Can Pretrained Generative Models Learn Implicit Inferential Rules?0
Experiments on Hybrid Corpus-Based Sentiment Lexicon Acquisition0
Experiments with Easy-first nonprojective constituent parsing0
Expert Finding in Community Question Answering: A Review0
Annotation Methodologies for Vision and Language Dataset Creation0
Do Transformer Networks Improve the Discovery of Rules from Text?0
Beyond Retrieval: Joint Supervision and Multimodal Document Ranking for Textbook Question Answering0
A Framework for the Classification and Annotation of Multiword Expressions in Dialectal Arabic0
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey0
Explainable Artificial Intelligence Recommendation System by Leveraging the Semantics of Adverse Childhood Experiences: Proof-of-Concept Prototype Development0
Font-Agent: Enhancing Font Understanding with Large Language Models0
Explainable Assessment of Healthcare Articles with QA0
DoT: An efficient Double Transformer for NLP tasks with tables0
Do Smaller Language Models Answer Contextualised Questions Through Memorisation Or Generalisation?0
Explainable Fact-checking through Question Answering0
A RAG-based Question Answering System Proposal for Understanding Islam: MufassirQAS LLM0
Annotation and Analysis of Discourse Relations, Temporal Relations and Multi-Layered Situational Relations in Japanese Texts0
Case-Based Abductive Natural Language Inference0
Do Sentence Transformers Learn Quasi-Geospatial Concepts from General Text?0
DOSA: A Dataset of Social Artifacts from Different Indian Geographical Subcultures0
A Concept-Centric Approach to Multi-Modality Learning0
DoReMi: Grounding Language Model by Detecting and Recovering from Plan-Execution Misalignment0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94Unverified
2FPNet (ensemble)EM90.87Unverified
3IE-NetV2 (ensemble)EM90.86Unverified
4SA-Net on Albert (ensemble)EM90.72Unverified
5SA-Net-V2 (ensemble)EM90.68Unverified
6FPNet (ensemble)EM90.6Unverified
7Retro-Reader (ensemble)EM90.58Unverified
8EntitySpanFocusV2 (ensemble)EM90.52Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49Unverified
10EntitySpanFocus+AT (ensemble)EM90.45Unverified