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 6001–6050 of 10817 papers

TitleStatusHype
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models—0
M4CXR: Exploring Multi-task Potentials of Multi-modal Large Language Models for Chest X-ray Interpretation—0
HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation—0
Dual Embeddings and Metrics for Relational Similarity—0
Hyper-dimensional computing for a visual question-answering system that is trainable end-to-end—0
Machine Comprehension with Discourse Relations—0
Machine Comprehension with Syntax, Frames, and Semantics—0
Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases—0
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications—0
Machine Reading Comprehension: Generative or Extractive Reader?—0
Machine Translation Evaluation for Arabic using Morphologically-enriched Embeddings—0
Machine Translation Evaluation Meets Community Question Answering—0
Controlling Risk of Web Question Answering—0
Macquarie University at BioASQ 5b -- Query-based Summarisation Techniques for Selecting the Ideal Answers—0
Addressing Uncertainty in LLMs to Enhance Reliability in Generative AI—0
Metaheuristic Approaches to Lexical Substitution and Simplification—0
DUAL: Textless Spoken Question Answering with Speech Discrete Unit Adaptive Learning—0
MagiC: Evaluating Multimodal Cognition Toward Grounded Visual Reasoning—0
MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification—0
Magnitude Pruning of Large Pretrained Transformer Models with a Mixture Gaussian Prior—0
Mining Japanese Compound Words and Their Pronunciations from Web Pages and Tweets—0
MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation—0
Hyperbolic Attention Networks—0
Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets—0
HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications—0
Make-It-Vivid: Dressing Your Animatable Biped Cartoon Characters from Text—0
Controlled Natural Languages and Default Reasoning—0
Duplicate Question Retrieval and Confirmation Time Prediction in Software Communities—0
Making Language Models Robust Against Negation—0
Hybrid-SQuAD: Hybrid Scholarly Question Answering Dataset—0
Hybrid Question Answering over Knowledge Base and Free Text—0
Hybrid Graphs for Table-and-Text based Question Answering using LLMs—0
Making the Most of What You Have: Adapting Pre-trained Visual Language Models in the Low-data Regime—0
Malayalam Clause Boundary Identifier: Annotation and Evaluation—0
mALBERT: Is a Compact Multilingual BERT Model Still Worth It?—0
Contri(e)ve: Context + Retrieve for Scholarly Question Answering—0
A Novel Discriminative Framework for Sentence-Level Discourse Analysis—0
MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration—0
A Syntactic Approach to Domain-Specific Automatic Question Generation—0
MAMO: Masked Multimodal Modeling for Fine-Grained Vision-Language Representation Learning—0
An Adaption of BIOASQ Question Answering dataset for Machine Reading systems by Manual Annotations of Answer Spans.—0
Contributions to the Improvement of Question Answering Systems in the Biomedical Domain—0
HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases—0
A Synchronous Hyperedge Replacement Grammar based approach for AMR parsing—0
HuRIC: a Human Robot Interaction Corpus—0
Accuracy vs. Complexity: A Trade-off in Visual Question Answering Models—0
Contrastive Video-Language Learning with Fine-grained Frame Sampling—0
Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment—0
MAP: Evaluation and Multi-Agent Enhancement of Large Language Models for Inpatient Pathways—0
Human Mobility Question Answering (Vision Paper)—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