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 5201–5250 of 10817 papers

TitleStatusHype
Improving Automatic VQA Evaluation Using Large Language Models—0
How FaR Are Large Language Models From Agents with Theory-of-Mind?Code0
On the Cognition of Visual Question Answering Models and Human Intelligence: A Comparative Study—0
SelfGraphVQA: A Self-Supervised Graph Neural Network for Scene-based Question Answering—0
Language Models as Knowledge Bases for Visual Word Sense DisambiguationCode0
Dodo: Dynamic Contextual Compression for Decoder-only LMs—0
Think before you speak: Training Language Models With Pause Tokens—0
RA-DIT: Retrieval-Augmented Dual Instruction Tuning—0
Human Mobility Question Answering (Vision Paper)—0
Generating Explanations in Medical Question-Answering by Expectation Maximization Inference over Evidence—0
Testing the Limits of Unified Sequence to Sequence LLM Pretraining on Diverse Table Data Tasks—0
A Novel Computational and Modeling Foundation for Automatic Coherence Assessment—0
Colloquial Persian POS (CPPOS) Corpus: A Novel Corpus for Colloquial Persian Part of Speech Tagging—0
Question-Answering Model for Schizophrenia Symptoms and Their Impact on Daily Life using Mental Health Forums Data—0
SLM: Bridge the thin gap between speech and text foundation models—0
Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models—0
Promoting Generalized Cross-lingual Question Answering in Few-resource Scenarios via Self-knowledge DistillationCode0
TPE: Towards Better Compositional Reasoning over Conceptual Tools with Multi-persona Collaboration—0
Using Weak Supervision and Data Augmentation in Question Answering—0
Neuro Symbolic Reasoning for Planning: Counterexample Guided Inductive Synthesis using Large Language Models and Satisfiability Solving—0
MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering—0
Tackling VQA with Pretrained Foundation Models without Further Training—0
Question answering using deep learning in low resource Indian language Marathi—0
Fine-tuning and aligning question answering models for complex information extraction tasks—0
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning—0
Question-Answering Approach to Evaluating Legal SummariesCode0
Legal Question-Answering in the Indian Context: Efficacy, Challenges, and Potential of Modern AI Models—0
Analyzing the Efficacy of an LLM-Only Approach for Image-based Document Question Answering—0
QASports: A Question Answering Dataset about SportsCode0
Does the "most sinfully decadent cake ever" taste good? Answering Yes/No Questions from Figurative Contexts—0
Modeling Student Performance in Game-Based Learning EnvironmentsCode0
Diversifying Question Generation over Knowledge Base via External Natural Questions—0
Furthest Reasoning with Plan Assessment: Stable Reasoning Path with Retrieval-Augmented Large Language Models—0
BenLLMEval: A Comprehensive Evaluation into the Potentials and Pitfalls of Large Language Models on Bengali NLP—0
HRoT: Hybrid prompt strategy and Retrieval of Thought for Table-Text Hybrid Question Answering—0
OpenAi's GPT4 as coding assistantCode0
Knowledge Sanitization of Large Language ModelsCode0
SQUARE: Automatic Question Answering Evaluation using Multiple Positive and Negative References—0
Retrieving Supporting Evidence for Generative Question Answering—0
Sequence-to-Sequence Spanish Pre-trained Language ModelsCode0
Visual Question Answering in the Medical Domain—0
Are Large Language Models Really Robust to Word-Level Perturbations?Code0
Knowledge Graph Question Answering for Materials Science (KGQA4MAT): Developing Natural Language Interface for Metal-Organic Frameworks Knowledge Graph (MOF-KG) Using LLM—0
LLM Guided Inductive Inference for Solving Compositional Problems—0
Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables—0
KOSMOS-2.5: A Multimodal Literate Model—0
Sentence Attention Blocks for Answer Grounding—0
Enhancing Open-Domain Table Question Answering via Syntax- and Structure-aware Dense RetrievalCode0
Benchmarks for Pirá 2.0, a Reading Comprehension Dataset about the Ocean, the Brazilian Coast, and Climate Change—0
QASnowball: An Iterative Bootstrapping Framework for High-Quality Question-Answering Data Generation—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