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 26–50 of 10817 papers

TitleStatusHype
IPFormer-VideoLLM: Enhancing Multi-modal Video Understanding for Multi-shot Scenes—0
Response Quality Assessment for Retrieval-Augmented Generation via Conditional Conformal FactualityCode0
FOCUS: Internal MLLM Representations for Efficient Fine-Grained Visual Question Answering—0
Towards Probabilistic Question Answering Over Tabular Data—0
MultiFinRAG: An Optimized Multimodal Retrieval-Augmented Generation (RAG) Framework for Financial Question Answering—0
HRIBench: Benchmarking Vision-Language Models for Real-Time Human Perception in Human-Robot InteractionCode0
Semantic-enhanced Modality-asymmetric Retrieval for Online E-commerce Search—0
Knowledge-Aware Diverse Reranking for Cross-Source Question Answering—0
Memento: Note-Taking for Your Future Self—0
SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models—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
KunLunBaizeRAG: Reinforcement Learning Driven Inference Performance Leap for Large Language Models—0
ToSA: Token Merging with Spatial AwarenessCode0
Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs—0
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
GEMeX-ThinkVG: Towards Thinking with Visual Grounding in Medical VQA via Reinforcement Learning—0
Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives—0
Evolving Prompts In-Context: An Open-ended, Self-replicating PerspectiveCode1
Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning without 3D Annotations—0
UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-MakingCode0
General-Purpose Robotic Navigation via LVLM-Orchestrated Perception, Reasoning, and Acting—0
How Far Can Off-the-Shelf Multimodal Large Language Models Go in Online Episodic Memory Question Answering?—0
Can Common VLMs Rival Medical VLMs? Evaluation and Strategic Insights—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