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 4451–4500 of 10817 papers

TitleStatusHype
MM-PhyQA: Multimodal Physics Question-Answering With Multi-Image CoT Prompting—0
RiskLabs: Predicting Financial Risk Using Large Language Model based on Multimodal and Multi-Sources Data—0
Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of Human and Machine Explanations for Large Language Models—0
On Unified Prompt Tuning for Request Quality Assurance in Public Code Review—0
Learning to Localize Objects Improves Spatial Reasoning in Visual-LLMsCode0
Audio Dialogues: Dialogues dataset for audio and music understanding—0
Language Models Meet Anomaly Detection for Better Interpretability and GeneralizabilityCode0
Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency CheckingCode0
Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models—0
Groundedness in Retrieval-augmented Long-form Generation: An Empirical Study—0
LLMs' Reading Comprehension Is Affected by Parametric Knowledge and Struggles with Hypothetical Statements—0
SurveyAgent: A Conversational System for Personalized and Efficient Research Survey—0
MoReVQA: Exploring Modular Reasoning Models for Video Question Answering—0
Identifying Shopping Intent in Product QA for Proactive Recommendations—0
Enhancing Software-Related Information Extraction via Single-Choice Question Answering with Large Language Models—0
Semantic Stealth: Adversarial Text Attacks on NLP Using Several Methods—0
PerkwE_COQA: Enhanced Persian Conversational Question Answering by combining contextual keyword extraction with Large Language Models—0
HAMMR: HierArchical MultiModal React agents for generic VQA—0
MedExpQA: Multilingual Benchmarking of Large Language Models for Medical Question Answering—0
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding—0
The Hallucinations Leaderboard -- An Open Effort to Measure Hallucinations in Large Language Models—0
FRACTAL: Fine-Grained Scoring from Aggregate Text Labels—0
LLM-aided explanations of EDA synthesis errors—0
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector—0
X-VARS: Introducing Explainability in Football Refereeing with Multi-Modal Large Language Model—0
Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement—0
Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language ModelsCode0
Multicalibration for Confidence Scoring in LLMs—0
Soft-Prompting with Graph-of-Thought for Multi-modal Representation LearningCode0
KazQAD: Kazakh Open-Domain Question Answering DatasetCode0
Koala: Key frame-conditioned long video-LLM—0
BuDDIE: A Business Document Dataset for Multi-task Information Extraction—0
Do Sentence Transformers Learn Quasi-Geospatial Concepts from General Text?—0
Best Response Shaping—0
Neural-Symbolic VideoQA: Learning Compositional Spatio-Temporal Reasoning for Real-world Video Question Answering—0
PRobELM: Plausibility Ranking Evaluation for Language Models—0
Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought—0
Learning to Plan and Generate Text with Citations—0
Mitigating LLM Hallucinations via Conformal Abstention—0
Untangle the KNOT: Interweaving Conflicting Knowledge and Reasoning Skills in Large Language ModelsCode0
TinyVQA: Compact Multimodal Deep Neural Network for Visual Question Answering on Resource-Constrained Devices—0
The Death of Feature Engineering? BERT with Linguistic Features on SQuAD 2.0—0
Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns—0
Automatic Prompt Selection for Large Language Models—0
Rematch: Robust and Efficient Matching of Local Knowledge Graphs to Improve Structural and Semantic SimilarityCode0
Using Large Language Models to Understand Telecom Standards—0
Self-Improvement Programming for Temporal Knowledge Graph Question Answering—0
Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization—0
mChartQA: A universal benchmark for multimodal Chart Question Answer based on Vision-Language Alignment and Reasoning—0
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized ContextsCode0
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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