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 1901–1950 of 10817 papers

TitleStatusHype
Multi-object event graph representation learning for Video Question Answering—0
Top-down Activity Representation Learning for Video Question Answering—0
Experimenting with Legal AI Solutions: The Case of Question-Answering for Access to Justice—0
OmniQuery: Contextually Augmenting Captured Multimodal Memory to Enable Personal Question Answering—0
An Evaluation Framework for Attributed Information Retrieval using Large Language ModelsCode0
Integrating SPARQL and LLMs for Question Answering over Scholarly Data Sources—0
AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric KnowledgeCode1
Securing Vision-Language Models with a Robust Encoder Against Jailbreak and Adversarial AttacksCode0
MEDIC: Towards a Comprehensive Framework for Evaluating LLMs in Clinical Applications—0
Learning to Compress Contexts for Efficient Knowledge-based Visual Question Answering—0
KAG: Boosting LLMs in Professional Domains via Knowledge Augmented GenerationCode9
VisScience: An Extensive Benchmark for Evaluating K12 Educational Multi-modal Scientific Reasoning—0
Mitigating Hallucination in Visual-Language Models via Re-Balancing Contrastive Decoding—0
GroUSE: A Benchmark to Evaluate Evaluators in Grounded Question AnsweringCode1
EyeCLIP: A visual-language foundation model for multi-modal ophthalmic image analysisCode2
Enhancing Temporal Understanding in Audio Question Answering for Large Audio Language Models—0
LIME: Less Is More for MLLM EvaluationCode1
Accelerating Large Language Model Pretraining via LFR Pedagogy: Learn, Focus, and Review—0
MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning—0
M3-Jepa: Multimodal Alignment via Multi-directional MoE based on the JEPA frameworkCode1
Breaking Neural Network Scaling Laws with Modularity—0
Shaking Up VLMs: Comparing Transformers and Structured State Space Models for Vision & Language ModelingCode0
Seek and Solve Reasoning for Table Question Answering—0
RIRAG: Regulatory Information Retrieval and Answer GenerationCode1
Towards Building a Robust Knowledge Intensive Question Answering Model with Large Language Models—0
MemoRAG: Moving towards Next-Gen RAG Via Memory-Inspired Knowledge DiscoveryCode7
Just ASR + LLM? A Study on Speech Large Language Models' Ability to Identify and Understand Speaker in Spoken DialogueCode0
WebQuest: A Benchmark for Multimodal QA on Web Page Sequences—0
COLUMBUS: Evaluating COgnitive Lateral Understanding through Multiple-choice reBUSesCode0
Combining LLMs and Knowledge Graphs to Reduce Hallucinations in Question Answering—0
Question-Answering Dense Video EventsCode0
Vietnamese Legal Information Retrieval in Question-Answering System—0
Debate on Graph: a Flexible and Reliable Reasoning Framework for Large Language ModelsCode1
MARAGS: A Multi-Adapter System for Multi-Task Retrieval Augmented Generation Question Answering—0
Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene UnderstandingCode2
mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding—0
Enhancing Healthcare LLM Trust with Atypical Presentations RecalibrationCode0
RAG based Question-Answering for Contextual Response Prediction System—0
The representation landscape of few-shot learning and fine-tuning in large language modelsCode0
OccLLaMA: An Occupancy-Language-Action Generative World Model for Autonomous Driving—0
Word and Phrase Features in Graph Convolutional Network for Automatic Question Classification—0
Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering—0
LongCite: Enabling LLMs to Generate Fine-grained Citations in Long-context QACode4
How Privacy-Savvy Are Large Language Models? A Case Study on Compliance and Privacy Technical Review—0
GoT-CQA: Graph-of-Thought Guided Compositional Reasoning for Chart Question Answering—0
MOSMOS: Multi-organ segmentation facilitated by medical report supervision—0
R2GQA: Retriever-Reader-Generator Question Answering System to Support Students Understanding Legal Regulations in Higher Education—0
Unforgettable Generalization in Language Models—0
How to Determine the Preferred Image Distribution of a Black-Box Vision-Language Model?Code0
VProChart: Answering Chart Question through Visual Perception Alignment Agent and Programmatic Solution ReasoningCode1
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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