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 1326–1350 of 10817 papers

TitleStatusHype
Knowledge Graphs are all you need: Leveraging KGs in Physics Question Answering—0
Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora—0
Steps are all you need: Rethinking STEM Education with Prompt Engineering—0
Question Answering for Decisionmaking in Green Building Design: A Multimodal Data Reasoning Method Driven by Large Language Models—0
KaLM: Knowledge-aligned Autoregressive Language Modeling via Dual-view Knowledge Graph Contrastive Learning—0
EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation—0
TANGO: Training-free Embodied AI Agents for Open-world Tasks—0
Give me Some Hard Questions: Synthetic Data Generation for Clinical QACode0
Uniform Discretized Integrated Gradients: An effective attribution based method for explaining large language models—0
T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts—0
SynFinTabs: A Dataset of Synthetic Financial Tables for Information and Table ExtractionCode0
Addressing Hallucinations with RAG and NMISS in Italian Healthcare LLM Chatbots—0
GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering—0
Synergizing LLMs and Knowledge Graphs: A Novel Approach to Software Repository-Related Question Answering—0
Comprehensive Audio Query Handling System with Integrated Expert Models and Contextual Understanding—0
Domain-specific Question Answering with Hybrid Search—0
RedStone: Curating General, Code, Math, and QA Data for Large Language Models—0
Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges—0
Hybrid-SQuAD: Hybrid Scholarly Question Answering Dataset—0
MLD-EA: Check and Complete Narrative Coherence by Introducing Emotions and Actions—0
An Evolutionary Large Language Model for Hallucination Mitigation—0
Enhancing Trust in Large Language Models with Uncertainty-Aware Fine-Tuning—0
GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken ChatbotCode7
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey—0
Copy-Move Forgery Detection and Question Answering for Remote Sensing ImageCode0
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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