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 2801–2850 of 10817 papers

TitleStatusHype
Pretraining and Updates of Domain-Specific LLM: A Case Study in the Japanese Business Domain—0
Synthetic Dataset Creation and Fine-Tuning of Transformer Models for Question Answering in SerbianCode0
Small Models Are (Still) Effective Cross-Domain Argument ExtractorsCode0
Enhancing Visual Question Answering through Question-Driven Image Captions as PromptsCode1
Improving Health Question Answering with Reliable and Time-Aware Evidence RetrievalCode0
MM-PhyQA: Multimodal Physics Question-Answering With Multi-Image CoT Prompting—0
View Selection for 3D Captioning via Diffusion RankingCode3
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
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
OpenBias: Open-set Bias Detection in Text-to-Image Generative ModelsCode1
On Unified Prompt Tuning for Request Quality Assurance in Public Code Review—0
LLoCO: Learning Long Contexts OfflineCode2
Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models—0
Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency CheckingCode0
Groundedness in Retrieval-augmented Long-form Generation: An Empirical Study—0
Superposition Prompting: Improving and Accelerating Retrieval-Augmented GenerationCode2
LLMs' Reading Comprehension Is Affected by Parametric Knowledge and Struggles with Hypothetical Statements—0
Identifying Shopping Intent in Product QA for Proactive Recommendations—0
Ada-LEval: Evaluating long-context LLMs with length-adaptable benchmarksCode2
SurveyAgent: A Conversational System for Personalized and Efficient Research Survey—0
Visually Descriptive Language Model for Vector Graphics ReasoningCode9
MoReVQA: Exploring Modular Reasoning Models for Video Question Answering—0
The Hallucinations Leaderboard -- An Open Effort to Measure Hallucinations in Large Language Models—0
Semantic Stealth: Adversarial Text Attacks on NLP Using Several Methods—0
Enhancing Software-Related Information Extraction via Single-Choice Question Answering with Large Language Models—0
MedExpQA: Multilingual Benchmarking of Large Language Models for Medical Question Answering—0
MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video UnderstandingCode3
HAMMR: HierArchical MultiModal React agents for generic VQA—0
PerkwE_COQA: Enhanced Persian Conversational Question Answering by combining contextual keyword extraction with Large Language Models—0
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding—0
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector—0
LLM-aided explanations of EDA synthesis errors—0
X-VARS: Introducing Explainability in Football Refereeing with Multi-Modal Large Language Model—0
FRACTAL: Fine-Grained Scoring from Aggregate Text Labels—0
Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement—0
KazQAD: Kazakh Open-Domain Question Answering DatasetCode0
Multicalibration for Confidence Scoring in LLMs—0
Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language ModelsCode0
Soft-Prompting with Graph-of-Thought for Multi-modal Representation LearningCode0
Best Response Shaping—0
Koala: Key frame-conditioned long video-LLM—0
BuDDIE: A Business Document Dataset for Multi-task Information Extraction—0
Neural-Symbolic VideoQA: Learning Compositional Spatio-Temporal Reasoning for Real-world Video Question Answering—0
Do Sentence Transformers Learn Quasi-Geospatial Concepts from General Text?—0
Mitigating LLM Hallucinations via Conformal Abstention—0
CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question AnsweringCode1
PRobELM: Plausibility Ranking Evaluation for Language Models—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