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 1001–1050 of 10817 papers

TitleStatusHype
Anatomy Might Be All You Need: Forecasting What to Do During Surgery—0
Comprehensive Evaluation for a Large Scale Knowledge Graph Question Answering Service—0
Multiple Abstraction Level Retrieve Augment Generation—0
3D-MoE: A Mixture-of-Experts Multi-modal LLM for 3D Vision and Pose Diffusion via Rectified Flow—0
LLM-AutoDiff: Auto-Differentiate Any LLM WorkflowCode7
A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis—0
Options-Aware Dense Retrieval for Multiple-Choice query Answering—0
LUCY: Linguistic Understanding and Control Yielding Early Stage of HerCode2
Large Models in Dialogue for Active Perception and Anomaly DetectionCode0
URAG: Implementing a Unified Hybrid RAG for Precise Answers in University Admission Chatbots -- A Case Study at HCMUT—0
Provence: efficient and robust context pruning for retrieval-augmented generation—0
PISCO: Pretty Simple Compression for Retrieval-Augmented Generation—0
Complete Chess Games Enable LLM Become A Chess Master—0
How to Mitigate Information Loss in Knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback—0
Adapting Biomedical Abstracts into Plain language using Large Language Models—0
Scaling Large Vision-Language Models for Enhanced Multimodal Comprehension In Biomedical Image Analysis—0
LLM Evaluation Based on Aerospace Manufacturing Expertise: Automated Generation and Multi-Model Question Answering—0
Federated Retrieval Augmented Generation for Multi-Product Question Answering—0
Knowledge Hierarchy Guided Biological-Medical Dataset Distillation for Domain LLM Training—0
ASRank: Zero-Shot Re-Ranking with Answer Scent for Document Retrieval—0
Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement LearningCode2
CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs—0
An Attempt to Unraveling Token Prediction Refinement and Identifying Essential Layers of Large Language Models—0
Analyzing and Boosting the Power of Fine-Grained Visual Recognition for Multi-modal Large Language ModelsCode2
Causal Graphs Meet Thoughts: Enhancing Complex Reasoning in Graph-Augmented LLMsCode0
MASTER: A Multi-Agent System with LLM Specialized MCTS—0
Verify with Caution: The Pitfalls of Relying on Imperfect Factuality Metrics—0
Chain-of-Retrieval Augmented Generation—0
ENTER: Event Based Interpretable Reasoning for VideoQA—0
Towards Better Understanding Table Instruction Tuning: Decoupling the Effects from Data versus Models—0
GraphSOS: Graph Sampling and Order Selection to Help LLMs Understand Graphs Better—0
DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace EditingCode1
Interpretability Analysis of Domain Adapted Dense Retrievers—0
Scene Understanding Enabled Semantic Communication with Open Channel Coding—0
Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs—0
RAMQA: A Unified Framework for Retrieval-Augmented Multi-Modal Question AnsweringCode0
Question Answering on Patient Medical Records with Private Fine-Tuned LLMs—0
K-COMP: Retrieval-Augmented Medical Domain Question Answering With Knowledge-Injected CompressorCode0
ReasVQA: Advancing VideoQA with Imperfect Reasoning Process—0
Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization—0
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement LearningCode15
Patent Figure Classification using Large Vision-language ModelsCode0
EvidenceMap: Learning Evidence Analysis to Unleash the Power of Small Language Models for Biomedical Question Answering—0
Combining Knowledge Graph and LLMs for Enhanced Zero-shot Visual Question Answering—0
Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home—0
An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts—0
EmbodiedEval: Evaluate Multimodal LLMs as Embodied AgentsCode2
VARGPT: Unified Understanding and Generation in a Visual Autoregressive Multimodal Large Language ModelCode3
The Dual-use Dilemma in LLMs: Do Empowering Ethical Capacities Make a Degraded Utility?—0
Question-to-Question Retrieval for Hallucination-Free Knowledge Access: An Approach for Wikipedia and Wikidata Question Answering—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