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 2251–2300 of 10817 papers

TitleStatusHype
ReLoop: "Seeing Twice and Thinking Backwards" via Closed-loop Training to Mitigate Hallucinations in Multimodal understanding—0
AI-VaxGuide: An Agentic RAG-Based LLM for Vaccination Decisions—0
Agent-Based Detection and Resolution of Incompleteness and Ambiguity in Interactions with Large Language Models—0
OpenTable-R1: A Reinforcement Learning Augmented Tool Agent for Open-Domain Table Question AnsweringCode0
Revisiting CroPA: A Reproducibility Study and Enhancements for Cross-Prompt Adversarial Transferability in Vision-Language ModelsCode0
SMMILE: An Expert-Driven Benchmark for Multimodal Medical In-Context Learning—0
IPFormer-VideoLLM: Enhancing Multi-modal Video Understanding for Multi-shot Scenes—0
DrishtiKon: Multi-Granular Visual Grounding for Text-Rich Document ImagesCode0
ComRAG: Retrieval-Augmented Generation with Dynamic Vector Stores for Real-time Community Question Answering in Industry—0
Large Language Model Agent for Modular Task Execution in Drug Discovery—0
Response Quality Assessment for Retrieval-Augmented Generation via Conditional Conformal FactualityCode0
Towards Probabilistic Question Answering Over Tabular Data—0
SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models—0
MultiFinRAG: An Optimized Multimodal Retrieval-Augmented Generation (RAG) Framework for Financial Question Answering—0
Memento: Note-Taking for Your Future Self—0
Knowledge-Aware Diverse Reranking for Cross-Source Question Answering—0
Semantic-enhanced Modality-asymmetric Retrieval for Online E-commerce Search—0
HRIBench: Benchmarking Vision-Language Models for Real-Time Human Perception in Human-Robot InteractionCode0
FOCUS: Internal MLLM Representations for Efficient Fine-Grained Visual Question Answering—0
ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset—0
COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees—0
Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs—0
KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models—0
ToSA: Token Merging with Spatial AwarenessCode0
Enhancing Biosecurity in Tamper-Resistant Large Language Models With Quantum Gradient Descent—0
Semantic similarity estimation for domain specific data using BERT and other techniques—0
Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives—0
GEMeX-ThinkVG: Towards Thinking with Visual Grounding in Medical VQA via Reinforcement Learning—0
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations—0
General-Purpose Robotic Navigation via LVLM-Orchestrated Perception, Reasoning, and Acting—0
UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-MakingCode0
Can Common VLMs Rival Medical VLMs? Evaluation and Strategic Insights—0
How Far Can Off-the-Shelf Multimodal Large Language Models Go in Online Episodic Memory Question Answering?—0
From RAG to Agentic: Validating Islamic-Medicine Responses with LLM Agents—0
MEGC2025: Micro-Expression Grand Challenge on Spot Then Recognize and Visual Question Answering—0
WikiMixQA: A Multimodal Benchmark for Question Answering over Tables and Charts—0
Adapting Lightweight Vision Language Models for Radiological Visual Question AnsweringCode0
GenerationPrograms: Fine-grained Attribution with Executable ProgramsCode0
Re-Initialization Token Learning for Tool-Augmented Large Language ModelsCode0
Enhancing Omics Cohort Discovery for Research on Neurodegeneration through Ontology-Augmented Embedding ModelsCode0
CAPO: Reinforcing Consistent Reasoning in Medical Decision-Making—0
MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document RetrievalCode0
AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making—0
Training-free LLM Merging for Multi-task LearningCode0
MTabVQA: Evaluating Multi-Tabular Reasoning of Language Models in Visual Space—0
Instruction Tuning and CoT Prompting for Contextual Medical QA with LLMs—0
A Fast, Reliable, and Secure Programming Language for LLM Agents with Code Actions—0
Benchmarking Multimodal LLMs on Recognition and Understanding over Chemical Tables—0
EQA-RM: A Generative Embodied Reward Model with Test-time ScalingCode0
Can We Infer Confidential Properties of Training Data from LLMs?—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