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 3851–3900 of 10817 papers

TitleStatusHype
Image Content Generation with Causal ReasoningCode0
Context Independent Term Mapper for European LanguagesCode0
Image Question Answering using Convolutional Neural Network with Dynamic Parameter PredictionCode0
Choice Fusion as Knowledge for Zero-Shot Dialogue State TrackingCode0
Improving Complex Knowledge Base Question Answering via Question-to-Action and Question-to-Question AlignmentCode0
Illusory VQA: Benchmarking and Enhancing Multimodal Models on Visual IllusionsCode0
ArNLI: Arabic Natural Language Inference for Entailment and Contradiction DetectionCode0
ILLUME: Rationalizing Vision-Language Models through Human InteractionsCode0
IMAD: IMage-Augmented multi-modal DialogueCode0
IIT-UHH at SemEval-2017 Task 3: Exploring Multiple Features for Community Question Answering and Implicit Dialogue IdentificationCode0
IIU: Independent Inference Units for Knowledge-based Visual Question AnsweringCode0
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language TasksCode0
If the Sources Could Talk: Evaluating Large Language Models for Research Assistance in HistoryCode0
Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMsCode0
Filling the Image Information Gap for VQA: Prompting Large Language Models to Proactively Ask QuestionsCode0
C-HTS: A Concept-based Hierarchical Text Segmentation approachCode0
Identifying Unclear Questions in Community Question Answering WebsitesCode0
Idiom Paraphrases: Seventh Heaven vs Cloud NineCode0
II-MMR: Identifying and Improving Multi-modal Multi-hop Reasoning in Visual Question AnsweringCode0
Image Captioning for Effective Use of Language Models in Knowledge-Based Visual Question AnsweringCode0
Improving Consistency in Large Language Models through Chain of GuidanceCode0
Improving Question Answering with External KnowledgeCode0
A Survey of Video Datasets for Grounded Event UnderstandingCode0
Context-Aware Representations for Knowledge Base Relation ExtractionCode0
Finding Generalizable Evidence by Learning to Convince Q&A ModelsCode0
Aligning Large Language Models for Clinical TasksCode0
HyTE: Hyperplane-based Temporally aware Knowledge Graph EmbeddingCode0
Hypercube-RAG: Hypercube-Based Retrieval-Augmented Generation for In-domain Scientific Question-AnsweringCode0
Context-aware Frame-Semantic Role LabelingCode0
Hybrid Autoregressive Inference for Scalable Multi-hop Explanation RegenerationCode0
Temporally-Grounded Language Generation: A Benchmark for Real-Time Vision-Language ModelsCode0
Hyperbolic Representation Learning for Fast and Efficient Neural Question AnsweringCode0
I Could've Asked That: Reformulating Unanswerable QuestionsCode0
How to Tune a Multilingual Encoder Model for Germanic Languages: A Study of PEFT, Full Fine-Tuning, and Language AdaptersCode0
How Well Do Large Language Models Understand Syntax? An Evaluation by Asking Natural Language QuestionsCode0
How to Determine the Preferred Image Distribution of a Black-Box Vision-Language Model?Code0
How Well Do Multi-hop Reading Comprehension Models Understand Date Information?Code0
TrustScore: Reference-Free Evaluation of LLM Response TrustworthinessCode0
How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?Code0
How Much Do LLMs Hallucinate across Languages? On Multilingual Estimation of LLM Hallucination in the WildCode0
Adding Gradient Noise Improves Learning for Very Deep NetworksCode0
How much do LLMs learn from negative examples?Code0
How Robust are the Tabular QA Models for Scientific Tables? A Study using Customized DatasetCode0
HRIBench: Benchmarking Vision-Language Models for Real-Time Human Perception in Human-Robot InteractionCode0
How Modular Should Neural Module Networks Be for Systematic Generalization?Code0
How FaR Are Large Language Models From Agents with Theory-of-Mind?Code0
Constraint-Based Question Answering with Knowledge GraphCode0
ACCEPT: Adaptive Codebook for Composite and Efficient Prompt TuningCode0
Consistency Training by Synthetic Question Generation for Conversational Question AnsweringCode0
Consistency of Compositional Generalization across Multiple LevelsCode0
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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