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 8051–8100 of 10817 papers

TitleStatusHype
Recent Progress in Deep Learning for NLP—0
Recent, rapid advancement in visual question answering architecture: a review—0
Cross-Task Knowledge Transfer for Visually-Grounded Navigation—0
RECIPE: Applying Open Domain Question Answering to Privacy Policies—0
Auto-captions on GIF: A Large-scale Video-sentence Dataset for Vision-language Pre-training—0
Reciprocal Attention Fusion for Visual Question Answering—0
An Attention-Based Word-Level Interaction Model: Relation Detection for Knowledge Base Question Answering—0
Interpretable LLM-based Table Question Answering—0
Cross-Task Generalization via Natural Language Crowdsourcing Instructions—0
ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving—0
Interpretable Face Anti-Spoofing: Enhancing Generalization with Multimodal Large Language Models—0
Recognition of Polish Temporal Expressions—0
Interpretable Counting for Visual Question Answering—0
Cross-Policy Compliance Detection via Question Answering—0
Autobots Ensemble: Identifying and Extracting Adverse Drug Reaction from Tweets Using Transformer Based Pipelines—0
Recognizing Multimodal Entailment—0
Dynamic Clue Bottlenecks: Towards Interpretable-by-Design Visual Question Answering—0
Recognizing Textual Entailment Using Probabilistic Inference—0
Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks—0
Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models—0
Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering—0
Interpretability Analysis of Domain Adapted Dense Retrievers—0
An Attempt to Unraveling Token Prediction Refinement and Identifying Essential Layers of Large Language Models—0
Admitting Ignorance Helps the Video Question Answering Models to Answer—0
ACL-Fig: A Dataset for Scientific Figure Classification—0
Recurrent and Contextual Models for Visual Question Answering—0
Internet-augmented language models through few-shot prompting for open-domain question answering—0
InternalInspector I^2: Robust Confidence Estimation in LLMs through Internal States—0
Cross-Modal Retrieval Augmentation for Multi-Modal Classification—0
Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs—0
Internal and External Knowledge Interactive Refinement Framework for Knowledge-Intensive Question Answering—0
Recursively Summarizing Books with Human Feedback—0
Cross-Modal Reasoning with Event Correlation for Video Question Answering—0
Recursive Tree-Structured Self-Attention for Answer Sentence Selection—0
Intermediate Distillation: Data-Efficient Distillation from Black-Box LLMs for Information Retrieval—0
Interleaved Reasoning for Large Language Models via Reinforcement Learning—0
Cross-modal Knowledge Reasoning for Knowledge-based Visual Question Answering—0
Red Dragon AI at TextGraphs 2020 Shared Task : LIT : LSTM-Interleaved Transformer for Multi-Hop Explanation Ranking—0
ReDecode Framework for Iterative Improvement in Paraphrase Generation—0
Redefining Information Retrieval of Structured Database via Large Language Models—0
Anatomy Might Be All You Need: Forecasting What to Do During Surgery—0
RedStone: Curating General, Code, Math, and QA Data for Large Language Models—0
Interactive Visual Task Learning for Robots—0
Reducing Hallucinations: Enhancing VQA for Flood Disaster Damage Assessment with Visual Contexts—0
Interactive Question Answering Systems: Literature Review—0
Interactive-Predictive Machine Translation based on Syntactic Constraints of Prefix—0
Interactive Natural Language Query Construction for Report Generation—0
Interactive Mongolian Question Answer Matching Model Based on Attention Mechanism in the Law Domain—0
Cross-Modal Generative Augmentation for Visual Question Answering—0
Towards an Atlas of Cultural Commonsense for Machine Reasoning—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