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 3551–3575 of 10817 papers

TitleStatusHype
Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases—0
Fine-Tuning LLMs for Reliable Medical Question-Answering Services—0
ComPO: Community Preferences for Language Model Personalization—0
Reverse Question Answering: Can an LLM Write a Question so Hard (or Bad) that it Can't Answer?Code0
Evaluating Consistencies in LLM responses through a Semantic Clustering of Question Answering—0
MedLogic-AQA: Enhancing Medical Question Answering with Abstractive Models Focusing on Logical StructuresCode0
CROPE: Evaluating In-Context Adaptation of Vision and Language Models to Culture-Specific ConceptsCode0
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models—0
ChitroJera: A Regionally Relevant Visual Question Answering Dataset for Bangla—0
LLaVA-Ultra: Large Chinese Language and Vision Assistant for Ultrasound—0
NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples—0
Make LLMs better zero-shot reasoners: Structure-orientated autonomous reasoningCode0
SwaQuAD-24: QA Benchmark Dataset in Swahili—0
ELOQ: Resources for Enhancing LLM Detection of Out-of-Scope QuestionsCode0
Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens—0
Electrocardiogram-Language Model for Few-Shot Question Answering with Meta Learning—0
ViConsFormer: Constituting Meaningful Phrases of Scene Texts using Transformer-based Method in Vietnamese Text-based Visual Question AnsweringCode0
E3D-GPT: Enhanced 3D Visual Foundation for Medical Vision-Language Model—0
RA-BLIP: Multimodal Adaptive Retrieval-Augmented Bootstrapping Language-Image Pre-training—0
DiscoGraMS: Enhancing Movie Screen-Play Summarization using Movie Character-Aware Discourse Graph—0
SPFresh: Incremental In-Place Update for Billion-Scale Vector Search—0
Optimizing Retrieval-Augmented Generation with Elasticsearch for Enhanced Question-Answering Systems—0
Zero-shot Action Localization via the Confidence of Large Vision-Language Models—0
Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models—0
MCSFF: Multi-modal Consistency and Specificity Fusion Framework for Entity Alignment—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