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 1001–1050 of 10817 papers

TitleStatusHype
Large Language Models are Built-in Autoregressive Search EnginesCode1
Divide and Conquer: Text Semantic Matching with Disentangled Keywords and IntentsCode1
DocNLI: A Large-scale Dataset for Document-level Natural Language InferenceCode1
Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM CollaborationCode1
CLAPNQ: Cohesive Long-form Answers from Passages in Natural Questions for RAG systemsCode1
Large Language Models Encode Clinical KnowledgeCode1
MatTools: Benchmarking Large Language Models for Materials Science ToolsCode1
DocVXQA: Context-Aware Visual Explanations for Document Question AnsweringCode1
CKBP v2: Better Annotation and Reasoning for Commonsense Knowledge Base PopulationCode1
ClarQ: A large-scale and diverse dataset for Clarification Question GenerationCode1
General-Purpose Question-Answering with MacawCode1
Large Language Models Struggle to Learn Long-Tail KnowledgeCode1
Generative Bias for Robust Visual Question AnsweringCode1
Asking Clarification Questions to Handle Ambiguity in Open-Domain QACode1
Genixer: Empowering Multimodal Large Language Models as a Powerful Data GeneratorCode1
Asking Effective and Diverse Questions: A Machine Reading Comprehension based Framework for Joint Entity-Relation ExtractionCode1
Does Vision-and-Language Pretraining Improve Lexical Grounding?Code1
Asking Questions the Human Way: Scalable Question-Answer Generation from Text CorpusCode1
Latent Compositional Representations Improve Systematic Generalization in Grounded Question AnsweringCode1
LaTr: Layout-Aware Transformer for Scene-Text VQACode1
GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question AnsweringCode1
LAVENDER: Unifying Video-Language Understanding as Masked Language ModelingCode1
GameEval: Evaluating LLMs on Conversational GamesCode1
ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal UnderstandingCode1
An Empirical Study of Pre-trained Transformers for Arabic Information ExtractionCode1
ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper PagesCode1
Generative Data Augmentation for Commonsense ReasoningCode1
ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human PreferencesCode1
ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language ModelsCode1
g3D-LF: Generalizable 3D-Language Feature Fields for Embodied TasksCode1
ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step VerificationCode1
Check It Again:Progressive Visual Question Answering via Visual EntailmentCode1
Fusing Context Into Knowledge Graph for Commonsense Question AnsweringCode1
ChatGPT: Jack of all trades, master of noneCode1
ChatVLA: Unified Multimodal Understanding and Robot Control with Vision-Language-Action ModelCode1
Frustratingly Easy Label Projection for Cross-lingual TransferCode1
FSPO: Few-Shot Preference Optimization of Synthetic Preference Data in LLMs Elicits Effective Personalization to Real UsersCode1
Check It Again: Progressive Visual Question Answering via Visual EntailmentCode1
Citekit: A Modular Toolkit for Large Language Model Citation GenerationCode1
A Few More Examples May Be Worth Billions of ParametersCode1
ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question AnsweringCode1
FunQA: Towards Surprising Video ComprehensionCode1
Gemini Goes to Med School: Exploring the Capabilities of Multimodal Large Language Models on Medical Challenge Problems & HallucinationsCode1
CharBERT: Character-aware Pre-trained Language ModelCode1
AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label EmbeddingCode1
From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement LearningCode1
An Investigation of LLMs' Inefficacy in Understanding Converse RelationsCode1
Are Bias Mitigation Techniques for Deep Learning Effective?Code1
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-trainingCode1
CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual WorldsCode1
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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