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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2101–2150 of 10817 papers

TitleStatusHype
DyGKT: Dynamic Graph Learning for Knowledge TracingCode1
Boosting Audio Visual Question Answering via Key Semantic-Aware CuesCode1
From Feature Importance to Natural Language Explanations Using LLMs with RAGCode0
SynthVLM: High-Efficiency and High-Quality Synthetic Data for Vision Language ModelsCode2
Pyramid Coder: Hierarchical Code Generator for Compositional Visual Question Answering—0
Assessing Graphical Perception of Image Embedding Models using Channel Effectiveness—0
VolDoGer: LLM-assisted Datasets for Domain Generalization in Vision-Language Tasks—0
Harnessing Large Vision and Language Models in Agriculture: A Review—0
Take A Step Back: Rethinking the Two Stages in Visual Reasoning—0
Prometheus Chatbot: Knowledge Graph Collaborative Large Language Model for Computer Components RecommendationCode0
Advancing Multimodal Large Language Models in Chart Question Answering with Visualization-Referenced Instruction TuningCode2
Concise Thoughts: Impact of Output Length on LLM Reasoning and Cost—0
A Study on the Implementation Method of an Agent-Based Advanced RAG System Using Graph—0
AdaCoder: Adaptive Prompt Compression for Programmatic Visual Question Answering—0
Integrating Cognitive AI with Generative Models for Enhanced Question Answering in Skill-based Learning—0
Towards A Generalizable Pathology Foundation Model via Unified Knowledge DistillationCode2
A Role-specific Guided Large Language Model for Ophthalmic Consultation Based on Stylistic DifferentiationCode0
Answerability Fields: Answerable Location Estimation via Diffusion Models—0
Constructing the CORD-19 Vaccine Dataset—0
UOUO: Uncontextualized Uncommon Objects for Measuring Knowledge Horizons of Vision Language Models—0
The Geometry of Queries: Query-Based Innovations in Retrieval-Augmented Generation—0
ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question Answering—0
I Could've Asked That: Reformulating Unanswerable QuestionsCode0
3D Question Answering for City Scene Understanding—0
A Survey Forest Diagram : Gain a Divergent Insight View on a Specific Research Topic—0
Causal Understanding For Video Question Answering—0
Knowledge Models for Cancer Clinical Practice Guidelines : Construction, Management and Usage in Question Answering—0
Structure-aware Domain Knowledge Injection for Large Language ModelsCode1
Learning Trimodal Relation for AVQA with Missing ModalityCode1
Enhancing LLM's Cognition via StructurizationCode1
Shared Imagination: LLMs Hallucinate Alike—0
Imperfect Vision Encoders: Efficient and Robust Tuning for Vision-Language Models—0
Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models—0
KaPQA: Knowledge-Augmented Product Question-Answering—0
Enhancing Temporal Understanding in LLMs for Semi-structured Tables—0
RadioRAG: Factual large language models for enhanced diagnostics in radiology using online retrieval augmented generationCode0
HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal ReasoningCode1
Odyssey: Empowering Minecraft Agents with Open-World SkillsCode3
Knowledge Acquisition Disentanglement for Knowledge-based Visual Question Answering with Large Language ModelsCode0
LongVideoBench: A Benchmark for Long-context Interleaved Video-Language UnderstandingCode2
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models—0
OMoS-QA: A Dataset for Cross-Lingual Extractive Question Answering in a German Migration Context—0
NV-Retriever: Improving text embedding models with effective hard-negative mining—0
MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive DiversityCode2
Retrieval with Learned SimilaritiesCode2
Customized Retrieval Augmented Generation and Benchmarking for EDA Tool Documentation QACode0
Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis—0
End-to-End Video Question Answering with Frame Scoring Mechanisms and Adaptive Sampling—0
Answer, Assemble, Ace: Understanding How Transformers Answer Multiple Choice Questions—0
Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data—0
Show:102550
← PrevPage 43 of 217Next →
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