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 4026–4050 of 10817 papers

TitleStatusHype
Automatic Extraction of Disease Risk Factors from Medical PublicationsCode0
Adapting LLMs to Hebrew: Unveiling DictaLM 2.0 with Enhanced Vocabulary and Instruction Capabilities—0
Using Pretrained Large Language Model with Prompt Engineering to Answer Biomedical Questions—0
Performance Evaluation of Knowledge Graph Embedding Approaches under Non-adversarial Attacks—0
VQA-Diff: Exploiting VQA and Diffusion for Zero-Shot Image-to-3D Vehicle Asset Generation in Autonomous Driving—0
Listen and Speak Fairly: A Study on Semantic Gender Bias in Speech Integrated Large Language ModelsCode0
Large Language Models for Judicial Entity Extraction: A Comparative Study—0
MST5 -- Multilingual Question Answering over Knowledge GraphsCode0
Large Language Models Understand LayoutCode0
MFE-ETP: A Comprehensive Evaluation Benchmark for Multi-modal Foundation Models on Embodied Task PlanningCode0
Question Answering with Texts and Tables through Deep Reinforcement Learning—0
Jailbreak Attacks and Defenses Against Large Language Models: A Survey—0
On scalable oversight with weak LLMs judging strong LLMs—0
Second Place Solution of WSDM2023 Toloka Visual Question Answering Challenge—0
From Data to Commonsense Reasoning: The Use of Large Language Models for Explainable AI—0
MAMA: Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation LearningCode0
Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models—0
VDMA: Video Question Answering with Dynamically Generated Multi-Agents—0
Black-box Model Ensembling for Textual and Visual Question Answering via Information FusionCode0
STOC-TOT: Stochastic Tree-of-Thought with Constrained Decoding for Complex Reasoning in Multi-Hop Question Answering—0
Leveraging Topic Specificity and Social Relationships for Expert Finding in Community Question Answering PlatformsCode0
Meta-prompting Optimized Retrieval-augmented Generation—0
Align and Aggregate: Compositional Reasoning with Video Alignment and Answer Aggregation for Video Question-Answering—0
FSM: A Finite State Machine Based Zero-Shot Prompting Paradigm for Multi-Hop Question Answering—0
KeyVideoLLM: Towards Large-scale Video Keyframe Selection—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