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 7476–7500 of 10817 papers

TitleStatusHype
A Structured Distributional Semantic Model : Integrating Structure with Semantics—0
Amharic Question Answering for Biography, Definition, and Description Questions—0
Post-training an LLM for RAG? Train on Self-Generated Demonstrations—0
GRILLBot: A multi-modal conversational agent for complex real-world tasks—0
Griffon-G: Bridging Vision-Language and Vision-Centric Tasks via Large Multimodal Models—0
Power in Numbers: Robust reading comprehension by finetuning with four adversarial sentences per example—0
Poze: Sports Technique Feedback under Data Constraints—0
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding—0
Extractive Question Answering on Queries in Hindi and Tamil—0
ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution—0
PQuAD: A Persian Question Answering Dataset—0
Grid Search Hyperparameter Benchmarking of BERT, ALBERT, and LongFormer on DuoRC—0
Grid-LOGAT: Grid Based Local and Global Area Transcription for Video Question Answering—0
Practical Semantic Parsing for Spoken Language Understanding—0
Practice in Synonym Extraction at Large Scale—0
Extrinsic Evaluation of Machine Translation Metrics—0
PR-Attack: Coordinated Prompt-RAG Attacks on Retrieval-Augmented Generation in Large Language Models via Bilevel Optimization—0
Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs—0
A Structured Distributional Semantic Model for Event Co-reference—0
Precise Length Control in Large Language Models—0
Precise Model Benchmarking with Only a Few Observations—0
Precision Empowers, Excess Distracts: Visual Question Answering With Dynamically Infused Knowledge In Language Models—0
Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute—0
A dataset of clinically generated visual questions and answers about radiology images—0
Proceedings of the Workshop on Human-Computer 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