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 1776–1800 of 10817 papers

TitleStatusHype
Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question AnsweringCode1
AHP-Powered LLM Reasoning for Multi-Criteria Evaluation of Open-Ended Responses—0
Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding—0
DLP-LoRA: Efficient Task-Specific LoRA Fusion with a Dynamic, Lightweight Plugin for Large Language ModelsCode0
Why context matters in VQA and Reasoning: Semantic interventions for VLM input modalities—0
Backdooring Vision-Language Models with Out-Of-Distribution Data—0
PCQPR: Proactive Conversational Question Planning with Reflection—0
Optimizing and Evaluating Enterprise Retrieval-Augmented Generation (RAG): A Content Design PerspectiveCode0
Unleashing the Potentials of Likelihood Composition for Multi-modal Language ModelsCode0
Benchmarking Large Language Models for Conversational Question Answering in Multi-instructional Documents—0
Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis—0
Addition is All You Need for Energy-efficient Language Models—0
Self-Updatable Large Language Models with Parameter Integration—0
FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks—0
A Hitchhikers Guide to Fine-Grained Face Forgery Detection Using Common Sense ReasoningCode1
Empowering Large Language Model for Continual Video Question Answering with Collaborative PromptingCode1
BabelBench: An Omni Benchmark for Code-Driven Analysis of Multimodal and Multistructured DataCode0
Semantic Parsing with Candidate Expressions for Knowledge Base Question AnsweringCode0
Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language ModelsCode0
QAEncoder: Towards Aligned Representation Learning in Question Answering SystemCode2
VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMsCode1
World to Code: Multi-modal Data Generation via Self-Instructed Compositional Captioning and FilteringCode0
Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation SystemsCode0
Video DataFlywheel: Resolving the Impossible Data Trinity in Video-Language Understanding—0
Towards Robust Extractive Question Answering Models: Rethinking the Training MethodologyCode0
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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