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 5101–5150 of 10817 papers

TitleStatusHype
Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific RewardsCode0
Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond—0
Text Fact TransferCode0
Strong and Efficient Baselines for Open Domain Conversational Question Answering—0
PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter—0
Generative Pre-trained Transformer for Vietnamese Community-based COVID-19 Question Answering—0
One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems—0
QA-NatVer: Question Answering for Natural Logic-based Fact VerificationCode0
Retrieval-Augmented Chain-of-Thought in Semi-structured Domains—0
An In-Context Schema Understanding Method for Knowledge Base Question Answering—0
Large Language Models and Multimodal Retrieval for Visual Word Sense DisambiguationCode0
Optimizing Retrieval-augmented Reader Models via Token EliminationCode0
A Simple Baseline for Knowledge-Based Visual Question AnsweringCode0
Robust Training for Conversational Question Answering Models with Reinforced Reformulation Generation—0
Test-Time Self-Adaptive Small Language Models for Question AnsweringCode0
Primacy Effect of ChatGPTCode0
SILC: Improving Vision Language Pretraining with Self-Distillation—0
POSQA: Probe the World Models of LLMs with Size ComparisonsCode0
Self-Consistency of Large Language Models under AmbiguityCode0
CLIFT: Analysing Natural Distribution Shift on Question Answering Models in Clinical DomainCode0
RSAdapter: Adapting Multimodal Models for Remote Sensing Visual Question AnsweringCode0
Time-Aware Representation Learning for Time-Sensitive Question AnsweringCode0
PSYCHIC: A Neuro-Symbolic Framework for Knowledge Graph Question-Answering GroundingCode0
ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks—0
Reliable Academic Conference Question Answering: A Study Based on Large Language ModelCode0
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs—0
Evaluating the Symbol Binding Ability of Large Language Models for Multiple-Choice Questions in Vietnamese General Education—0
Understanding Retrieval Augmentation for Long-Form Question Answering—0
Open Information Extraction: A Review of Baseline Techniques, Approaches, and Applications—0
Systematic Assessment of Factual Knowledge in Large Language Models—0
Gold: A Global and Local-aware Denoising Framework for Commonsense Knowledge Graph Noise DetectionCode0
Open-ended Commonsense Reasoning with Unrestricted Answer Scope—0
UNK-VQA: A Dataset and a Probe into the Abstention Ability of Multi-modal Large ModelsCode0
Emulating Human Cognitive Processes for Expert-Level Medical Question-Answering with Large Language Models—0
Alexpaca: Learning Factual Clarification Question Generation Without Examples—0
QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question AnsweringCode0
A Search for Prompts: Generating Structured Answers from Contracts—0
Emerging Challenges in Personalized Medicine: Assessing Demographic Effects on Biomedical Question Answering SystemsCode0
Dual-Encoders for Extreme Multi-Label ClassificationCode0
On Context Utilization in Summarization with Large Language ModelsCode0
Unifying Image Processing as Visual Prompting Question Answering—0
Will the Prince Get True Love's Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts—0
If the Sources Could Talk: Evaluating Large Language Models for Research Assistance in HistoryCode0
Progressive Evidence Refinement for Open-domain Multimodal Retrieval Question Answering—0
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer—0
CarExpert: Leveraging Large Language Models for In-Car Conversational Question Answering—0
From Words and Exercises to Wellness: Farsi Chatbot for Self-Attachment Technique—0
Mitigating Bias for Question Answering Models by Tracking Bias Influence—0
Exploring Sparse Spatial Relation in Graph Inference for Text-Based VQA—0
The Consensus Game: Language Model Generation via Equilibrium Search—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