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 3101–3150 of 10817 papers

TitleStatusHype
Can MLLMs Generalize to Multi-Party dialog? Exploring Multilingual Response Generation in Complex Scenarios—0
The Dual-use Dilemma in LLMs: Do Empowering Ethical Capacities Make a Degraded Utility?—0
Question-to-Question Retrieval for Hallucination-Free Knowledge Access: An Approach for Wikipedia and Wikidata Question Answering—0
Leveraging Chain of Thought towards Empathetic Spoken Dialogue without Corresponding Question-Answering Data—0
A Collection of Question Answering Datasets for Norwegian—0
Class-Imbalanced-Aware Adaptive Dataset Distillation for Scalable Pretrained Model on Credit Scoring—0
Can Multimodal LLMs do Visual Temporal Understanding and Reasoning? The answer is No!—0
A Method for Multi-Hop Question Answering on Persian Knowledge Graph—0
Tabular-TX: Theme-Explanation Structure-based Table Summarization via In-Context Learning—0
Dialogue Benchmark Generation from Knowledge Graphs with Cost-Effective Retrieval-Augmented LLMsCode0
Passage Segmentation of Documents for Extractive Question Answering—0
Algorithm for Semantic Network Generation from Texts of Low Resource Languages Such as Kiswahili—0
To Retrieve or Not to Retrieve? Uncertainty Detection for Dynamic Retrieval Augmented Generation—0
Double Visual Defense: Adversarial Pre-training and Instruction Tuning for Improving Vision-Language Model Robustness—0
Augmenting a Large Language Model with a Combination of Text and Visual Data for Conversational Visualization of Global Geospatial Data—0
Perspective Transition of Large Language Models for Solving Subjective Tasks—0
Conversational Text Extraction with Large Language Models Using Retrieval-Augmented Systems—0
Dynamic Knowledge Integration for Enhanced Vision-Language Reasoning—0
Embodied Scene Understanding for Vision Language Models via MetaVQA—0
SteLLA: A Structured Grading System Using LLMs with RAG—0
Admitting Ignorance Helps the Video Question Answering Models to Answer—0
Towards Multilingual LLM Evaluation for Baltic and Nordic languages: A study on Lithuanian History—0
Advice for Diabetes Self-Management by ChatGPT Models: Challenges and Recommendations—0
Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning—0
Talk to Right Specialists: Routing and Planning in Multi-agent System for Question Answering—0
SAR Strikes Back: A New Hope for RSVQA—0
Investigating Energy Efficiency and Performance Trade-offs in LLM Inference Across Tasks and DVFS Settings—0
ASTRID -- An Automated and Scalable TRIaD for the Evaluation of RAG-based Clinical Question Answering Systems—0
The Quest for Visual Understanding: A Journey Through the Evolution of Visual Question Answering—0
Parallel Key-Value Cache Fusion for Position Invariant RAG—0
ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel TrainingCode0
TimeLogic: A Temporal Logic Benchmark for Video QA—0
Language Fusion for Parameter-Efficient Cross-lingual TransferCode0
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing—0
Fine-tuning Large Language Models for Improving Factuality in Legal Question AnsweringCode0
First Token Probability Guided RAG for Telecom Question Answering—0
How to Tune a Multilingual Encoder Model for Germanic Languages: A Study of PEFT, Full Fine-Tuning, and Language AdaptersCode0
Overcoming Language Priors for Visual Question Answering Based on Knowledge Distillation—0
Finnish SQuAD: A Simple Approach to Machine Translation of Span Annotations—0
Bactrainus: Optimizing Large Language Models for Multi-hop Complex Question Answering Tasks—0
Fleurs-SLU: A Massively Multilingual Benchmark for Spoken Language UnderstandingCode0
Multi-Agent Collaboration Mechanisms: A Survey of LLMsCode0
PEACE: Empowering Geologic Map Holistic Understanding with MLLMs—0
SUGAR: Leveraging Contextual Confidence for Smarter Retrieval—0
LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding—0
Commonsense Video Question Answering through Video-Grounded Entailment Tree Reasoning—0
Knowledge Retrieval Based on Generative AI—0
TimelineKGQA: A Comprehensive Question-Answer Pair Generator for Temporal Knowledge GraphsCode0
Statistical Uncertainty Quantification for Aggregate Performance Metrics in Machine Learning Benchmarks—0
Feedback-Driven Vision-Language Alignment with Minimal Human Supervision—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