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 551–600 of 10817 papers

TitleStatusHype
MDIT: A Model-free Data Interpolation Method for Diverse Instruction Tuning—0
Towards an AI-Driven Video-Based American Sign Language Dictionary: Exploring Design and Usage Experience with LearnersCode0
Simplifying Data Integration: SLM-Driven Systems for Unified Semantic Queries Across Heterogeneous Databases—0
Evaluating Knowledge Graph Based Retrieval Augmented Generation Methods under Knowledge Incompleteness—0
Learning to Reason Over Time: Timeline Self-Reflection for Improved Temporal Reasoning in Language Models—0
Enhancing Compositional Reasoning in Vision-Language Models with Synthetic Preference DataCode0
Towards Visual Text Grounding of Multimodal Large Language Model—0
Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use—0
Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM CollaborationCode1
ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question AnsweringCode1
RS-RAG: Bridging Remote Sensing Imagery and Comprehensive Knowledge with a Multi-Modal Dataset and Retrieval-Augmented Generation Model—0
MedM-VL: What Makes a Good Medical LVLM?Code2
ArxivBench: Can LLMs Assist Researchers in Conducting Research?Code0
Advancing Egocentric Video Question Answering with Multimodal Large Language Models—0
UniRVQA: A Unified Framework for Retrieval-Augmented Vision Question Answering via Self-Reflective Joint Training—0
Sigma: A dataset for text-to-code semantic parsing with statistical analysisCode0
YaleNLP @ PerAnsSumm 2025: Multi-Perspective Integration via Mixture-of-Agents for Enhanced Healthcare QA SummarizationCode0
Hierarchical Modeling for Medical Visual Question Answering with Cross-Attention Fusion—0
SARLANG-1M: A Benchmark for Vision-Language Modeling in SAR Image UnderstandingCode1
Generative AI Enhanced Financial Risk Management Information RetrievalCode0
QIRL: Boosting Visual Question Answering via Optimized Question-Image Relation Learning—0
Multilingual Retrieval-Augmented Generation for Knowledge-Intensive Task—0
Bonsai: Interpretable Tree-Adaptive Grounded Reasoning—0
Single-Pass Document Scanning for Question AnsweringCode1
Adapting Large Language Models for Multi-Domain Retrieval-Augmented-Generation—0
LexPam: Legal Procedure Awareness-Guided Mathematical Reasoning—0
SocialGesture: Delving into Multi-person Gesture Understanding—0
STING-BEE: Towards Vision-Language Model for Real-World X-ray Baggage Security InspectionCode1
Leveraging Static Relationships for Intra-Type and Inter-Type Message Passing in Video Question Answering—0
Biomedical Question Answering via Multi-Level Summarization on a Local Knowledge Graph—0
Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decoding—0
CoRAG: Collaborative Retrieval-Augmented Generation—0
GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical ReasoningCode1
GTR: Graph-Table-RAG for Cross-Table Question Answering—0
GeoRAG: A Question-Answering Approach from a Geographical Perspective—0
CyberBOT: Towards Reliable Cybersecurity Education via Ontology-Grounded Retrieval Augmented Generation—0
MPDrive: Improving Spatial Understanding with Marker-Based Prompt Learning for Autonomous Driving—0
Visual Environment-Interactive Planning for Embodied Complex-Question Answering—0
Automated Factual Benchmarking for In-Car Conversational Systems using Large Language Models—0
SViQA: A Unified Speech-Vision Multimodal Model for Textless Visual Question Answering—0
FortisAVQA and MAVEN: a Benchmark Dataset and Debiasing Framework for Robust Multimodal ReasoningCode2
Enhancing Large Language Models (LLMs) for Telecommunications using Knowledge Graphs and Retrieval-Augmented Generation—0
KOFFVQA: An Objectively Evaluated Free-form VQA Benchmark for Large Vision-Language Models in the Korean LanguageCode0
An Analysis of Decoding Methods for LLM-based Agents for Faithful Multi-Hop Question Answering—0
Question-Aware Knowledge Graph Prompting for Enhancing Large Language ModelsCode0
OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action ModelCode4
A Retrieval-Augmented Knowledge Mining Method with Deep Thinking LLMs for Biomedical Research and Clinical Support—0
Memory-Aware and Uncertainty-Guided Retrieval for Multi-Hop Question Answering—0
A Training-free LLM Framework with Interaction between Contextually Related Subtasks in Solving Complex Tasks—0
FReM: A Flexible Reasoning Mechanism for Balancing Quick and Slow Thinking in Long-Context 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