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 1–25 of 10817 papers

TitleStatusHype
Vision-and-Language Training Helps Deploy Taxonomic Knowledge but Does Not Fundamentally Alter It—0
Enter the Mind Palace: Reasoning and Planning for Long-term Active Embodied Question Answering—0
City-VLM: Towards Multidomain Perception Scene Understanding via Multimodal Incomplete Learning—0
From Roots to Rewards: Dynamic Tree Reasoning with RLCode0
Is This Just Fantasy? Language Model Representations Reflect Human Judgments of Event Plausibility—0
Describe Anything Model for Visual Question Answering on Text-rich ImagesCode1
Warehouse Spatial Question Answering with LLM AgentCode1
Barriers in Integrating Medical Visual Question Answering into Radiology Workflows: A Scoping Review and Clinicians' Insights—0
MagiC: Evaluating Multimodal Cognition Toward Grounded Visual Reasoning—0
Evaluating Attribute Confusion in Fashion Text-to-Image Generation—0
LinguaMark: Do Multimodal Models Speak Fairly? A Benchmark-Based Evaluation—0
Enhancing Scientific Visual Question Answering through Multimodal Reasoning and Ensemble Modeling—0
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
RAG-R1 : Incentivize the Search and Reasoning Capabilities of LLMs through Multi-query ParallelismCode5
L0: Reinforcement Learning to Become General AgentsCode3
Decoupled Seg Tokens Make Stronger Reasoning Video Segmenter and GrounderCode1
Revisiting CroPA: A Reproducibility Study and Enhancements for Cross-Prompt Adversarial Transferability in Vision-Language ModelsCode0
LLaVA-Scissor: Token Compression with Semantic Connected Components for Video LLMsCode2
Large Language Model Agent for Modular Task Execution in Drug Discovery—0
ComRAG: Retrieval-Augmented Generation with Dynamic Vector Stores for Real-time Community Question Answering in Industry—0
SMMILE: An Expert-Driven Benchmark for Multimodal Medical In-Context Learning—0
IPFormer-VideoLLM: Enhancing Multi-modal Video Understanding for Multi-shot Scenes—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