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 7951–8000 of 10817 papers

TitleStatusHype
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning—0
Font-Agent: Enhancing Font Understanding with Large Language Models—0
Gpt-4: A Review on Advancements and Opportunities in Natural Language Processing—0
GPT-3 Models are Few-Shot Financial Reasoners—0
GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation—0
Ranking Automatically Generated Questions Using Common Human Queries—0
Complex Question Answering: Unsupervised Learning Approaches and Experiments—0
Ranking Facts for Explaining Answers to Elementary Science Questions—0
AssistPDA: An Online Video Surveillance Assistant for Video Anomaly Prediction, Detection, and Analysis—0
Ranking Kernels for Structures and Embeddings: A Hybrid Preference and Classification Model—0
Ranking LLMs by compression—0
FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering—0
Assistive Image Annotation Systems with Deep Learning and Natural Language Capabilities: A Review—0
GoT-CQA: Graph-of-Thought Guided Compositional Reasoning for Chart Question Answering—0
Rapid Adaptation of POS Tagging for Domain Specific Uses—0
Goodwill Hunting: Analyzing and Repurposing Off-the-Shelf Named Entity Linking Systems—0
Complex Question Answering on knowledge graphs using machine translation and multi-task learning—0
Good, Great, Excellent: Global Inference of Semantic Intensities—0
Rationale-Augmented Ensembles in Language Models—0
Forewords—0
Complex QA and language models hybrid architectures, Survey—0
Good, Better, Best: Textual Distractors Generation for Multiple-Choice Visual Question Answering via Reinforcement Learning—0
Complex Program Induction for Querying Knowledge Bases in the Absence of Gold Programs—0
RAVEN: A Dataset for Relational and Analogical Visual rEasoNing—0
GOF at Qur’an QA 2022: Towards an Efficient Question Answering For The Holy Qu’ran In The Arabic Language Using Deep Learning-Based Approach—0
Cost-Effective Hallucination Detection for LLMs—0
Re2G: Retrieve, Rerank, Generate—0
Assisting Scene Graph Generation with Self-Supervision—0
Reactive Multi-Stage Feature Fusion for Multimodal Dialogue Modeling—0
Assessment of Answers: Online Subjective Examination—0
Read before Generate! Faithful Long Form Question Answering with Machine Reading—0
Goal-Oriented Semantic Communication for Wireless Visual Question Answering—0
Complex Factoid Question Answering with a Free-Text Knowledge Graph—0
Goal-Oriented Multi-Task BERT-Based Dialogue State Tracker—0
Fortune: Formula-Driven Reinforcement Learning for Symbolic Table Reasoning in Language Models—0
Reading Comprehension as Natural Language Inference: A Semantic Analysis—0
Complete Chess Games Enable LLM Become A Chess Master—0
Reading Comprehension using Entity-based Memory Network—0
A Dataset for Arabic Textual Entailment—0
ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving—0
Recognizing Causality in Verb-Noun Pairs via Noun and Verb Semantics—0
Read + Verify: Machine Reading Comprehension with Unanswerable Questions—0
GNN is a Counter? Revisiting GNN for Question Answering—0
ReAgent: Reversible Multi-Agent Reasoning for Knowledge-Enhanced Multi-Hop QA—0
Foundation Models and Adaptive Feature Selection: A Synergistic Approach to Video Question Answering—0
RealCQA-V2 : Visual Premise Proving A Manual COT Dataset for Charts—0
Assessing Users' Reputation from Syntactic and Semantic Information in Community Question Answering—0
Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media—0
GMSA: Enhancing Context Compression via Group Merging and Layer Semantic Alignment—0
Complementary Evidence Identification in Open-Domain Question Answering—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