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 3701–3750 of 10817 papers

TitleStatusHype
Dynamic Task and Weight Prioritization Curriculum Learning for Multimodal ImageryCode0
DCQA: Document-Level Chart Question Answering towards Complex Reasoning and Common-Sense UnderstandingCode0
Learning to Follow Object-Centric Image Editing Instructions FaithfullyCode0
A Few-Shot Learning Focused Survey on Recent Named Entity Recognition and Relation Classification Methods—0
Prompt-Engineering and Transformer-based Question Generation and Evaluation—0
Robust NL-to-Cypher Translation for KBQA: Harnessing Large Language Model with Chain of Prompts—0
EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray ImagesCode1
3D-Aware Visual Question Answering about Parts, Poses and OcclusionsCode1
From Values to Opinions: Predicting Human Behaviors and Stances Using Value-Injected Large Language ModelsCode1
ViCLEVR: A Visual Reasoning Dataset and Hybrid Multimodal Fusion Model for Visual Question Answering in VietnameseCode0
Detrimental Contexts in Open-Domain Question AnsweringCode0
Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation—0
Knowledge Corpus Error in Question AnsweringCode0
In-Context Ability Transfer for Question Decomposition in Complex QA—0
ArchBERT: Bi-Modal Understanding of Neural Architectures and Natural Languages—0
AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image DetectorsCode1
Improving Zero-shot Reader by Reducing Distractions from Irrelevant Documents in Open-Domain Question Answering—0
Incorporating Probing Signals into Multimodal Machine Translation via Visual Question-Answering PairsCode0
Exploring Question Decomposition for Zero-Shot VQA—0
1-PAGER: One Pass Answer Generation and Evidence Retrieval—0
TOP-Training: Target-Oriented Pretraining for Medical Extractive Question AnsweringCode0
CUNI Submission to MRL 2023 Shared Task on Multi-lingual Multi-task Information Retrieval—0
CAD -- Contextual Multi-modal Alignment for Dynamic AVQA—0
Enhancing Document Information Analysis with Multi-Task Pre-training: A Robust Approach for Information Extraction in Visually-Rich Documents—0
Diversity Enhanced Narrative Question Generation for StorybooksCode0
NuTrea: Neural Tree Search for Context-guided Multi-hop KGQACode1
SoK: Memorization in General-Purpose Large Language Models—0
Background Summarization of Event TimelinesCode0
PreWoMe: Exploiting Presuppositions as Working Memory for Long Form Question Answering—0
MarkQA: A large scale KBQA dataset with numerical reasoningCode1
FANToM: A Benchmark for Stress-testing Machine Theory of Mind in Interactions—0
Multimodal Representations for Teacher-Guided Compositional Visual Reasoning—0
tagE: Enabling an Embodied Agent to Understand Human InstructionsCode0
Towards Perceiving Small Visual Details in Zero-shot Visual Question Answering with Multimodal LLMsCode1
Large Language Models are Temporal and Causal Reasoners for Video Question AnsweringCode1
A Review of Reinforcement Learning for Natural Language Processing, and Applications in Healthcare—0
PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter—0
EpiK-Eval: Evaluation for Language Models as Epistemic ModelsCode0
DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuningCode2
Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific RewardsCode0
Generative Pre-trained Transformer for Vietnamese Community-based COVID-19 Question Answering—0
TableQAKit: A Comprehensive and Practical Toolkit for Table-based Question Answering—0
Dual-Feedback Knowledge Retrieval for Task-Oriented Dialogue Systems—0
Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language ModelsCode1
Diversify Question Generation with Retrieval-Augmented Style TransferCode1
Strong and Efficient Baselines for Open Domain Conversational Question Answering—0
Large Search Model: Redefining Search Stack in the Era of LLMs—0
Once Upon a Time in Graph: Relative-Time Pretraining for Complex Temporal ReasoningCode1
Text Fact TransferCode0
API-Assisted Code Generation for Question Answering on Varied Table Structures—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