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 951–1000 of 10817 papers

TitleStatusHype
FoQA: A Faroese Question-Answering Dataset—0
Who Taught You That? Tracing Teachers in Model Distillation—0
RoToR: Towards More Reliable Responses for Order-Invariant InputsCode0
Learning Musical Representations for Music Performance Question AnsweringCode0
Generative Distribution Prediction: A Unified Approach to Multimodal Learning—0
ClinKD: Cross-Modal Clinical Knowledge Distiller For Multi-Task Medical ImagesCode0
Self-Training Large Language Models for Tool-Use Without Demonstrations—0
LM2: Large Memory ModelsCode1
Performance Analysis of Traditional VQA Models Under Limited Computational Resources—0
Temporal Working Memory: Query-Guided Segment Refinement for Enhanced Multimodal UnderstandingCode3
Evolving LLMs' Self-Refinement Capability via Iterative Preference Optimization—0
Investigating the Shortcomings of LLMs in Step-by-Step Legal ReasoningCode0
Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment—0
Uncertainty Quantification for LLMs through Minimum Bayes Risk: Bridging Confidence and Consistency—0
Efficient Knowledge Feeding to Language Models: A Novel Integrated Encoder-Decoder Architecture—0
Mitigating Unintended Memorization with LoRA in Federated Learning for LLMsCode1
ARR: Question Answering with Large Language Models via Analyzing, Retrieving, and ReasoningCode0
SMI: An Information-Theoretic Metric for Predicting Model Knowledge Solely from Pre-Training SignalsCode0
PixFoundation: Are We Heading in the Right Direction with Pixel-level Vision Foundation Models?Code1
No Images, No Problem: Retaining Knowledge in Continual VQA with Questions-Only MemoryCode0
TerraQ: Spatiotemporal Question-Answering on Satellite Image Archives—0
Éclair -- Extracting Content and Layout with Integrated Reading Order for Documents—0
LLMs to Support a Domain Specific Knowledge Assistant—0
ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference OptimizationCode2
Efficient Few-Shot Continual Learning in Vision-Language Models—0
Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question AnsweringCode0
DocMIA: Document-Level Membership Inference Attacks against DocVQA ModelsCode0
LLMs can be easily Confused by Instructional Distractions—0
SensorChat: Answering Qualitative and Quantitative Questions during Long-Term Multimodal Sensor Interactions—0
Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions—0
Exploring Spatial Language Grounding Through Referring Expressions—0
TUMTraffic-VideoQA: A Benchmark for Unified Spatio-Temporal Video Understanding in Traffic ScenesCode1
Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented GenerationCode4
AmaSQuAD: A Benchmark for Amharic Extractive Question Answering—0
Memento No More: Coaching AI Agents to Master Multiple Tasks via Hints Internalization—0
ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution—0
Robust-LLaVA: On the Effectiveness of Large-Scale Robust Image Encoders for Multi-modal Large Language ModelsCode1
Topic-FlipRAG: Topic-Orientated Adversarial Opinion Manipulation Attacks to Retrieval-Augmented Generation Models—0
VLM-Assisted Continual learning for Visual Question Answering in Self-Driving—0
Hypo3D: Exploring Hypothetical Reasoning in 3D—0
Multilingual State Space Models for Structured Question Answering in Indic LanguagesCode0
Memory-Efficient Fine-Tuning of Transformers via Token SelectionCode0
KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree SearchCode1
-Video: A Training-Free Approach to Long Video Understanding via Continuous-Time Memory ConsolidationCode1
CALM: Unleashing the Cross-Lingual Self-Aligning Ability of Language Model Question Answering—0
o3-mini vs DeepSeek-R1: Which One is Safer?Code1
General Embedding vs. Task-Specific Embedding: A Comparative Approach to Enhancing NLP Performance—0
InnerThoughts: Disentangling Representations and Predictions in Large Language Models—0
Anatomy Might Be All You Need: Forecasting What to Do During Surgery—0
Cross-Language Approach for Quranic QA—0
Show:102550
← PrevPage 20 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