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 3901–3950 of 10817 papers

TitleStatusHype
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge InjectionCode0
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering—0
FabricQA-Extractor: A Question Answering System to Extract Information from Documents using Natural Language Questions—0
How Susceptible are LLMs to Influence in Prompts?—0
Reference-Guided Verdict: LLMs-as-Judges in Automatic Evaluation of Free-Form Text—0
RealMedQA: A pilot biomedical question answering dataset containing realistic clinical questionsCode0
Med-PMC: Medical Personalized Multi-modal Consultation with a Proactive Ask-First-Observe-Next ParadigmCode0
Risks and NLP Design: A Case Study on Procedural Document QA—0
Beyond the Hype: A dispassionate look at vision-language models in medical scenario—0
MuRAR: A Simple and Effective Multimodal Retrieval and Answer Refinement Framework for Multimodal Question Answering—0
Evaluating Fine-Tuning Efficiency of Human-Inspired Learning Strategies in Medical Question AnsweringCode0
IIU: Independent Inference Units for Knowledge-based Visual Question AnsweringCode0
Continuous Perception Benchmark—0
LLaVA-Surg: Towards Multimodal Surgical Assistant via Structured Surgical Video Learning—0
Assessing and Enhancing Large Language Models in Rare Disease Question-answering—0
Enhancing Visual Question Answering through Ranking-Based Hybrid Training and Multimodal Fusion—0
LLMI3D: Empowering LLM with 3D Perception from a Single 2D Image—0
QirK: Question Answering via Intermediate Representation on Knowledge Graphs—0
Vision Language Model for Interpretable and Fine-grained Detection of Safety Compliance in Diverse Workplaces—0
MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data UncertaintyCode0
CROME: Cross-Modal Adapters for Efficient Multimodal LLM—0
Quantum Algorithms for Compositional Text Processing—0
Creating Arabic LLM Prompts at Scale—0
Reference-free Hallucination Detection for Large Vision-Language Models—0
Chain of Condition: Construct, Verify and Solve Conditions for Conditional Question Answering—0
Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMsCode0
Revisiting Multi-Modal LLM Evaluation—0
MSG-Chart: Multimodal Scene Graph for ChartQACode0
Towards a Generative Approach for Emotion Detection and Reasoning—0
Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models—0
Enhancing Robustness of Retrieval-Augmented Language Models with In-Context Learning—0
Enhancing Healthcare through Large Language Models: A Study on Medical Question Answering—0
NatLan: Native Language Prompting Facilitates Knowledge Elicitation Through Language Trigger Provision and Domain Trigger RetentionCode0
Optimus: Accelerating Large-Scale Multi-Modal LLM Training by Bubble Exploitation—0
Target Prompting for Information Extraction with Vision Language Model—0
Targeted Visual Prompting for Medical Visual Question AnsweringCode0
Leveraging Inter-Chunk Interactions for Enhanced Retrieval in Large Language Model-Based Question Answering—0
Entity Retrieval for Answering Entity-Centric Questions—0
Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset ConstructionCode0
REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language Models—0
Knowledge AI: Fine-tuning NLP Models for Facilitating Scientific Knowledge Extraction and Understanding—0
MMPKUBase: A Comprehensive and High-quality Chinese Multi-modal Knowledge Graph—0
Compositional Physical Reasoning of Objects and Events from Videos—0
BioRAG: A RAG-LLM Framework for Biological Question Reasoning—0
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts—0
Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMs—0
Towards Flexible Evaluation for Generative Visual Question AnsweringCode0
Cost-Effective Hallucination Detection for LLMs—0
Prompting Medical Large Vision-Language Models to Diagnose Pathologies by Visual Question Answering—0
SimpleLLM4AD: An End-to-End Vision-Language Model with Graph Visual Question Answering for Autonomous Driving—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