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 7901–7950 of 10817 papers

TitleStatusHype
Structured Knowledge Grounding for Question Answering—0
Question-to-Question Retrieval for Hallucination-Free Knowledge Access: An Approach for Wikipedia and Wikidata Question Answering—0
GPTs and Language Barrier: A Cross-Lingual Legal QA Examination—0
GPTR: Gestalt-Perception Transformer for Diagram Object Detection—0
CompMix: A Benchmark for Heterogeneous Question Answering—0
Flexible Frame Selection for Efficient Video Reasoning—0
GPT4Video: A Unified Multimodal Large Language Model for lnstruction-Followed Understanding and Safety-Aware Generation—0
GPT-4V Explorations: Mining Autonomous Driving—0
GPT4GEO: How a Language Model Sees the World's Geography—0
QU-IR at SemEval 2016 Task 3: Learning to Rank on Arabic Community Question Answering Forums with Word Embedding—0
A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification—0
QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory—0
QuOTE: Question-Oriented Text Embeddings—0
QurAna: Corpus of the Quran annotated with Pronominal Anaphora—0
A Causal Approach to Mitigate Modality Preference Bias in Medical Visual Question Answering—0
Reasoning-Driven Question-Answering for Natural Language Understanding—0
Gpt-4: A Review on Advancements and Opportunities in Natural Language Processing—0
GPT-3 Models are Few-Shot Financial Reasoners—0
R2GQA: Retriever-Reader-Generator Question Answering System to Support Students Understanding Legal Regulations in Higher Education—0
R3: A Reading Comprehension Benchmark Requiring Reasoning Processes—0
R3 : Refined Retriever-Reader pipeline for Multidoc2dial—0
FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts—0
R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models—0
RA-BLIP: Multimodal Adaptive Retrieval-Augmented Bootstrapping Language-Image Pre-training—0
GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation—0
Raccoons at SemEval-2022 Task 11: Leveraging Concatenated Word Embeddings for Named Entity Recognition—0
Complex Question Answering: Unsupervised Learning Approaches and Experiments—0
RA-DIT: Retrieval-Augmented Dual Instruction Tuning—0
RadQA: A Question Answering Dataset to Improve Comprehension of Radiology Reports—0
AssistPDA: An Online Video Surveillance Assistant for Video Anomaly Prediction, Detection, and Analysis—0
Assistive Image Annotation Systems with Deep Learning and Natural Language Capabilities: A Review—0
RAG based Question-Answering for Contextual Response Prediction System—0
RAG-based Question Answering over Heterogeneous Data and Text—0
Topic-FlipRAG: Topic-Orientated Adversarial Opinion Manipulation Attacks to Retrieval-Augmented Generation Models—0
GoT-CQA: Graph-of-Thought Guided Compositional Reasoning for Chart Question Answering—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
RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning—0
FOCUS: Internal MLLM Representations for Efficient Fine-Grained Visual Question Answering—0
RAG vs. GraphRAG: A Systematic Evaluation and Key Insights—0
Examining Long-Context Large Language Models for Environmental Review Document Comprehension—0
Complex QA and language models hybrid architectures, Survey—0
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts—0
Reasoning and Tools for Human-Level Forecasting—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
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
FONDUE: A Framework for Node Disambiguation Using Network Embeddings—0
Assisting Scene Graph Generation with Self-Supervision—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