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 2851–2900 of 10817 papers

TitleStatusHype
MapQA: Open-domain Geospatial Question Answering on Map Data—0
Robusto-1 Dataset: Comparing Humans and VLMs on real out-of-distribution Autonomous Driving VQA from Peru—0
From Text to Visuals: Using LLMs to Generate Math Diagrams with Vector Graphics—0
Talking to GDELT Through Knowledge Graphs—0
Taking Notes Brings Focus? Towards Multi-Turn Multimodal Dialogue Learning—0
TI-JEPA: An Innovative Energy-based Joint Embedding Strategy for Text-Image Multimodal Systems—0
Human Cognition Inspired RAG with Knowledge Graph for Complex Problem Solving—0
Green Prompting—0
VisualSimpleQA: A Benchmark for Decoupled Evaluation of Large Vision-Language Models in Fact-Seeking Question Answering—0
Delusions of Large Language Models—0
Vector Quantized Feature Fields for Fast 3D Semantic Lifting—0
SplatTalk: 3D VQA with Gaussian Splatting—0
Integrating Frequency-Domain Representations with Low-Rank Adaptation in Vision-Language Models—0
MoEMoE: Question Guided Dense and Scalable Sparse Mixture-of-Expert for Multi-source Multi-modal Answering—0
Treble Counterfactual VLMs: A Causal Approach to HallucinationCode0
Correctness Coverage Evaluation for Medical Multiple-Choice Question Answering Based on the Enhanced Conformal Prediction Framework—0
Chart-HQA: A Benchmark for Hypothetical Question Answering in Charts—0
Architecture for a Trustworthy Quantum Chatbot—0
Evaluating Answer Reranking Strategies in Time-sensitive Question Answering—0
Dynamic-KGQA: A Scalable Framework for Generating Adaptive Question Answering Datasets—0
Audio Flamingo 2: An Audio-Language Model with Long-Audio Understanding and Expert Reasoning Abilities—0
LVLM-Compress-Bench: Benchmarking the Broader Impact of Large Vision-Language Model CompressionCode0
Robust Data Watermarking in Language Models by Injecting Fictitious KnowledgeCode0
Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation—0
Enhancing Vietnamese VQA through Curriculum Learning on Raw and Augmented Text RepresentationsCode0
FANS -- Formal Answer Selection for Natural Language Math Reasoning Using Lean4—0
Vision-Language Models Struggle to Align Entities across Modalities—0
Task-Agnostic Attacks Against Vision Foundation ModelsCode0
Towards Understanding Multi-Round Large Language Model Reasoning: Approximability, Learnability and Generalizability—0
Structured Outputs Enable General-Purpose LLMs to be Medical Experts—0
AttackSeqBench: Benchmarking Large Language Models' Understanding of Sequential Patterns in Cyber AttacksCode0
Addressing Overprescribing Challenges: Fine-Tuning Large Language Models for Medication Recommendation TasksCode0
Zero-Shot Complex Question-Answering on Long Scientific DocumentsCode0
Towards Robust Expert Finding in Community Question Answering PlatformsCode0
OWLViz: An Open-World Benchmark for Visual Question Answering—0
BioD2C: A Dual-level Semantic Consistency Constraint Framework for Biomedical VQACode0
EchoQA: A Large Collection of Instruction Tuning Data for Echocardiogram Reports—0
Optimizing open-domain question answering with graph-based retrieval augmented generation—0
Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language ModelsCode0
SAGE: A Framework of Precise Retrieval for RAG—0
Beyond Prompting: An Efficient Embedding Framework for Open-Domain Question Answering—0
Causal Tree Extraction from Medical Case Reports: A Novel Task for Experts-like Text Comprehension—0
When an LLM is apprehensive about its answers -- and when its uncertainty is justifiedCode0
SRAG: Structured Retrieval-Augmented Generation for Multi-Entity Question Answering over Wikipedia Graph—0
Generate, Discriminate, Evolve: Enhancing Context Faithfulness via Fine-Grained Sentence-Level Self-Evolution—0
Q-NL Verifier: Leveraging Synthetic Data for Robust Knowledge Graph Question AnsweringCode0
Parameter-free Video Segmentation for Vision and Language Understanding—0
Towards Efficient Educational Chatbots: Benchmarking RAG Frameworks—0
Optimizing Multi-Hop Document Retrieval Through Intermediate Representations—0
ER-RAG: Enhance RAG with ER-Based Unified Modeling of Heterogeneous Data Sources—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