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 5401–5450 of 10817 papers

TitleStatusHype
MegaWika: Millions of reports and their sources across 50 diverse languages—0
Prompt Generate Train (PGT): Few-shot Domain Adaption of Retrieval Augmented Generation Models for Open Book Question-Answering—0
PolyLM: An Open Source Polyglot Large Language Model—0
Model Card and Evaluations for Claude Models—0
Overview of BioASQ 2023: The eleventh BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering—0
Enhancing Biomedical Text Summarization and Question-Answering: On the Utility of Domain-Specific Pre-Training—0
Reading Between the Lanes: Text VideoQA on the RoadCode0
TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal PredictionCode0
Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoning—0
RecallM: An Adaptable Memory Mechanism with Temporal Understanding for Large Language ModelsCode0
VisKoP: Visual Knowledge oriented Programming for Interactive Knowledge Base Question Answering—0
Read, Look or Listen? What's Needed for Solving a Multimodal Dataset—0
UIT-Saviors at MEDVQA-GI 2023: Improving Multimodal Learning with Image Enhancement for Gastrointestinal Visual Question Answering—0
CORE-GPT: Combining Open Access research and large language models for credible, trustworthy question answeringCode0
Performance Comparison of Large Language Models on VNHSGE English Dataset: OpenAI ChatGPT, Microsoft Bing Chat, and Google Bard—0
Modeling Tag Prediction based on Question Tagging Behavior Analysis of CommunityQA Platform Users—0
Exploring the In-context Learning Ability of Large Language Model for Biomedical Concept Linking—0
Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal DataCode0
DoReMi: Grounding Language Model by Detecting and Recovering from Plan-Execution Misalignment—0
Single Sequence Prediction over Reasoning Graphs for Multi-hop QACode0
Lightweight Recurrent Cross-modal Encoder for Video Question AnsweringCode0
Unified Language Representation for Question Answering over Text, Tables, and Images—0
Pre-Training Multi-Modal Dense Retrievers for Outside-Knowledge Visual Question AnsweringCode0
SE-PQA: Personalized Community Question AnsweringCode0
Fine-Tuning Large Language Models for Answering Programming Questions with Code Snippets—0
FC-KBQA: A Fine-to-Coarse Composition Framework for Knowledge Base Question Answering—0
Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input—0
Low-Rank Prune-And-Factorize for Language Model Compression—0
Visual Question Answering in Remote Sensing with Cross-Attention and Multimodal Information Bottleneck—0
Retrieving Supporting Evidence for LLMs Generated Answers—0
Public Attitudes Toward ChatGPT on Twitter: Sentiments, Topics, and OccupationsCode0
TaCA: Upgrading Your Visual Foundation Model with Task-agnostic Compatible AdapterCode0
CompMix: A Benchmark for Heterogeneous Question Answering—0
LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation—0
Persian Semantic Role Labeling Using Transfer Learning and BERT-Based Models—0
ClinicalGPT: Large Language Models Finetuned with Diverse Medical Data and Comprehensive Evaluation—0
Clickbait Classification and Spoiling Using Natural Language Processing—0
Pushing the Limits of ChatGPT on NLP Tasks—0
Learning to Summarize and Answer Questions about a Virtual Robot's Past Actions—0
Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health—0
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories—0
Neural models for Factual Inconsistency Classification with ExplanationsCode0
Retrieving-to-Answer: Zero-Shot Video Question Answering with Frozen Large Language Models—0
DiPlomat: A Dialogue Dataset for Situated Pragmatic Reasoning—0
Unifying Large Language Models and Knowledge Graphs: A Roadmap—0
Visual Question Answering (VQA) on Images with Superimposed Text—0
Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP TrainingCode0
Soft Language Clustering for Multilingual Model Pre-training—0
AVIS: Autonomous Visual Information Seeking with Large Language Model Agent—0
Improving Opinion-based Question Answering Systems Through Label Error Detection and Overwrite—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