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 6251–6300 of 10817 papers

TitleStatusHype
Meta-Embeddings for Natural Language Inference and Semantic Similarity tasks—0
Metaethical Perspectives on 'Benchmarking' AI Ethics—0
Tensor Train Low-rank Approximation (TT-LoRA): Democratizing AI with Accelerated LLMs—0
Metaheuristic Approaches to Lexical Substitution and Simplification—0
How to Make a BLT Sandwich? Learning to Reason towards Understanding Web Instructional Videos—0
Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language Capabilities—0
EfficientEQA: An Efficient Approach for Open Vocabulary Embodied Question Answering—0
A corpus of general and specific sentences from news—0
How to find a good image-text embedding for remote sensing visual question answering?—0
Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer—0
Efficient Global Learning of Entailment Graphs—0
Meta-prompting Optimized Retrieval-augmented Generation—0
How to Evaluate Opinionated Keyphrase Extraction?—0
MetaQA: Combining Expert Agents for Multi-Skill Question Answering—0
MetaReflection: Learning Instructions for Language Agents using Past Reflections—0
MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification—0
Continually Self-Improving Language Models for Bariatric Surgery Question--Answering—0
A Few-Shot Learning Focused Survey on Recent Named Entity Recognition and Relation Classification Methods—0
Method of Tibetan Person Knowledge Extraction—0
Methods Combination and ML-based Re-ranking of Multiple Hypothesis for Question-Answering Systems—0
Modular Graph Attention Network for Complex Visual Relational Reasoning—0
Modulating Language Model Experiences through Frictions—0
EfficientLLaVA: Generalizable Auto-Pruning for Large Vision-language Models—0
A Survey on Recent Advances in Sequence Labeling from Deep Learning Models—0
Efficiently Embedding Dynamic Knowledge Graphs—0
MFORT-QA: Multi-hop Few-shot Open Rich Table Question Answering—0
How to Design Sample and Computationally Efficient VQA Models—0
How to Build an AI Tutor That Can Adapt to Any Course Using Knowledge Graph-Enhanced Retrieval-Augmented Generation (KG-RAG)—0
MHQA: A Diverse, Knowledge Intensive Mental Health Question Answering Challenge for Language Models—0
Book Review: Interactive Multi-Modal Question-Answering by Antal van den Bosch and Gosse Bouma—0
MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languages—0
MIA 2022 Shared Task Submission: Leveraging Entity Representations, Dense-Sparse Hybrids, and Fusion-in-Decoder for Cross-Lingual Question Answering—0
Continual Learning for Temporal-Sensitive Question Answering—0
Efficient Models for the Detection of Hate, Abuse and Profanity—0
MICRON: Multigranular Interaction for Contextualizing RepresentatiON in Non-factoid Question Answering—0
Microsoft AI Challenge India 2018: Learning to Rank Passages for Web Question Answering with Deep Attention Networks—0
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models—0
How Susceptible are LLMs to Influence in Prompts?—0
Miko Team: Deep Learning Approach for Legal Question Answering in ALQAC 2022—0
Mildly Non-Projective Dependency Grammar—0
How State-Of-The-Art Models Can Deal With Long-Form Question Answering—0
Continual Domain Adaptation for Machine Reading Comprehension—0
How Stable is Knowledge Base Knowledge?—0
MIMOQA: Multimodal Input Multimodal Output Question Answering—0
How Self-Attention Improves Rare Class Performance in a Question-Answering Dialogue Agent—0
Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation—0
A Multithreaded Conversational Interface for Pedestrian Navigation and Question Answering—0
Accounting for Sycophancy in Language Model Uncertainty Estimation—0
Modern Question Answering Datasets and Benchmarks: A Survey—0
Contingency and Comparison Relation Labeling and Structure Prediction in Chinese Sentences—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