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 3951–4000 of 10817 papers

TitleStatusHype
Beyond Chains: Bridging Large Language Models and Knowledge Bases in Complex Question Answering—0
Flexible Frame Selection for Efficient Video Reasoning—0
Annotating genericity: a survey, a scheme, and a corpus—0
Grounded Knowledge-Enhanced Medical VLP for Chest X-Ray—0
Domain Mismatch Doesn't Always Prevent Cross-Lingual Transfer Learning—0
FloodBrain: Flood Disaster Reporting by Web-based Retrieval Augmented Generation with an LLM—0
DomainInv: Domain Invariant Fine Tuning and Adversarial Label Correction For QA Domain Adaptation—0
FlowMind: Automatic Workflow Generation with LLMs—0
ClimateBERT-NetZero: Detecting and Assessing Net Zero and Reduction Targets—0
FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts—0
FltLM: An Intergrated Long-Context Large Language Model for Effective Context Filtering and Understanding—0
Beyond Captioning: Task-Specific Prompting for Improved VLM Performance in Mathematical Reasoning—0
A Semi-supervised learning approach to enhance health care Community-based Question Answering: A case study in alcoholism—0
FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks—0
ClimaText: A Dataset for Climate Change Topic Detection—0
Improving TCM Question Answering through Tree-Organized Self-Reflective Retrieval with LLMs—0
DomainCQA: Crafting Expert-Level QA from Domain-Specific Charts—0
Annotating Electronic Medical Records for Question Answering—0
FOCUS: Internal MLLM Representations for Efficient Fine-Grained Visual Question Answering—0
ClinicalGPT: Large Language Models Finetuned with Diverse Medical Data and Comprehensive Evaluation—0
A Comprehensive Survey on Visual Question Answering Datasets and Algorithms—0
Domain Adaptation with Active Learning for Coreference Resolution—0
Domain Adaptation of VLM for Soccer Video Understanding—0
FONDUE: A Framework for Node Disambiguation Using Network Embeddings—0
Font-Agent: Enhancing Font Understanding with Large Language Models—0
Beyond Attention: Toward Machines with Intrinsic Higher Mental States—0
Annotating Educational Questions for Student Response Analysis—0
Dolphin: A Challenging and Diverse Benchmark for Arabic NLG—0
FoQA: A Faroese Question-Answering Dataset—0
FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering—0
A Flexible, Efficient and Accurate Framework for Community Question Answering Pipelines—0
ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data—0
3D Question Answering for City Scene Understanding—0
Forewords—0
Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports—0
Do LLMs Work on Charts? Designing Few-Shot Prompts for Chart Question Answering and Summarization—0
CLIP Models are Few-shot Learners: Empirical Studies on VQA and Visual Entailment—0
A Shared Task on Multimodal Machine Translation and Crosslingual Image Description—0
FORTAP: Using Formulas for Numerical-Reasoning-Aware Table Pretraining—0
Fortifying Ethical Boundaries in AI: Advanced Strategies for Enhancing Security in Large Language Models—0
Griffon-G: Bridging Vision-Language and Vision-Centric Tasks via Large Multimodal Models—0
Fortune: Formula-Driven Reinforcement Learning for Symbolic Table Reasoning in Language Models—0
Do LLMs Understand Ambiguity in Text? A Case Study in Open-world Question Answering—0
Do LLMs Recognize me, When I is not me: Assessment of LLMs Understanding of Turkish Indexical Pronouns in Indexical Shift Contexts—0
Annotating Coordination in the Penn Treebank—0
GRILLBot: A multi-modal conversational agent for complex real-world tasks—0
Foundation Models and Adaptive Feature Selection: A Synergistic Approach to Video Question Answering—0
Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media—0
Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models—0
Annotating Attribution Relations in Arabic—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