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 1051–1075 of 10817 papers

TitleStatusHype
Can MLLMs Generalize to Multi-Party dialog? Exploring Multilingual Response Generation in Complex Scenarios—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
InsQABench: Benchmarking Chinese Insurance Domain Question Answering with Large Language ModelsCode1
A Method for Multi-Hop Question Answering on Persian Knowledge Graph—0
Can Multimodal LLMs do Visual Temporal Understanding and Reasoning? The answer is No!—0
Class-Imbalanced-Aware Adaptive Dataset Distillation for Scalable Pretrained Model on Credit Scoring—0
Tabular-TX: Theme-Explanation Structure-based Table Summarization via In-Context Learning—0
Passage Segmentation of Documents for Extractive Question Answering—0
Dialogue Benchmark Generation from Knowledge Graphs with Cost-Effective Retrieval-Augmented LLMsCode0
Conversational Text Extraction with Large Language Models Using Retrieval-Augmented Systems—0
A Simple Aerial Detection Baseline of Multimodal Language ModelsCode2
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
Perspective Transition of Large Language Models for Solving Subjective Tasks—0
Augmenting a Large Language Model with a Combination of Text and Visual Data for Conversational Visualization of Global Geospatial Data—0
Double Visual Defense: Adversarial Pre-training and Instruction Tuning for Improving Vision-Language Model Robustness—0
Embodied Scene Understanding for Vision Language Models via MetaVQA—0
Towards Multilingual LLM Evaluation for Baltic and Nordic languages: A study on Lithuanian History—0
SteLLA: A Structured Grading System Using LLMs with RAG—0
Dynamic Knowledge Integration for Enhanced Vision-Language Reasoning—0
Admitting Ignorance Helps the Video Question Answering Models to Answer—0
SAR Strikes Back: A New Hope for RSVQA—0
Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning—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