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 5601–5650 of 10817 papers

TitleStatusHype
CLIPPO: Image-and-Language Understanding from Pixels Only—0
Cooking with Semantics—0
Analysis of Temporal Expressions Annotated in Clinical Notes—0
LLMs to Support a Domain Specific Knowledge Assistant—0
Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA—0
DiscreteSLU: A Large Language Model with Self-Supervised Discrete Speech Units for Spoken Language Understanding—0
LLMCad: Fast and Scalable On-device Large Language Model Inference—0
Convolutional Neural Network: Text Classification Model for Open Domain Question Answering System—0
Learning to Clarify: Multi-turn Conversations with Action-Based Contrastive Self-Training—0
Learning to Collaborate for Question Answering and Asking—0
Learning to Compose Diversified Prompts for Image Emotion Classification—0
Benchmarking Large Multimodal Models for Ophthalmic Visual Question Answering with OphthalWeChat—0
Learning to Compress Contexts for Efficient Knowledge-based Visual Question Answering—0
Learning to Compute Word Embeddings On the Fly—0
IJCNLP-2017 Task 5: Multi-choice Question Answering in Examinations—0
Atomic Fact Decomposition Helps Attributed Question Answering—0
LLM Distillation for Efficient Few-Shot Multiple Choice Question Answering—0
Learning to Decompose Compound Questions with Reinforcement Learning—0
Learning-to-Defer for Extractive Question Answering—0
Learning to Disambiguate by Asking Discriminative Questions—0
Analysis of Drug repurposing Knowledge graphs for Covid-19—0
Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking—0
LLM-based Multi-Agent Reinforcement Learning: Current and Future Directions—0
Learning to Extract Attribute Value from Product via Question Answering: A Multi-task Approach—0
IITP: Multiobjective Differential Evolution based Twitter Named Entity Recognition—0
Learning to Focus when Ranking Answers—0
IITP at MEDIQA 2019: Systems Report for Natural Language Inference, Question Entailment and Question Answering—0
ADVISE: Symbolism and External Knowledge for Decoding Advertisements—0
Convolutional Neural Networks for Aerial Multi-Label Pedestrian Detection—0
LLM-Based Multi-Hop Question Answering with Knowledge Graph Integration in Evolving Environments—0
LLM Enhancer: Merged Approach using Vector Embedding for Reducing Large Language Model Hallucinations with External Knowledge—0
IIT-KGP at MEDIQA 2019: Recognizing Question Entailment using Sci-BERT stacked with a Gradient Boosting Classifier—0
IISCNLP at SemEval-2016 Task 2: Interpretable STS with ILP based Multiple Chunk Aligner—0
Learning to Identify Follow-Up Questions in Conversational Question Answering—0
ATM: Action Temporality Modeling for Video Question Answering—0
Learning to Inference Adaptively for Multimodal Large Language Models—0
Convolutional Interaction Network for Natural Language Inference—0
Learning to Interactively Learn and Assist—0
IIE-NLP-NUT at SemEval-2020 Task 4: Guiding PLM with Prompt Template Reconstruction Strategy for ComVE—0
Learning to Jointly Predict Ellipsis and Comparison Structures—0
Learning to Make Inferences in a Semantic Parsing Task—0
Learning to Map Natural Language Statements into Knowledge Base Representations for Knowledge Base Construction—0
LLM as A Robotic Brain: Unifying Egocentric Memory and Control—0
Learning to Model Multilingual Unrestricted Coreference in OntoNotes—0
LLM-based Discriminative Reasoning for Knowledge Graph Question Answering—0
Learning to Order Natural Language Texts—0
IIE-NLP-Eyas at SemEval-2021 Task 4: Enhancing PLM for ReCAM with Special Tokens, Re-Ranking, Siamese Encoders and Back Translation—0
IICONGRAPH: improved Iconographic and Iconological Statements in Knowledge Graphs—0
LEARNING TO ORGANIZE KNOWLEDGE WITH N-GRAM MACHINES—0
ConvKN at SemEval-2016 Task 3: Answer and Question Selection for Question Answering on Arabic and English Fora—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