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 2976–3000 of 10817 papers

TitleStatusHype
TabSD: Large Free-Form Table Question Answering with SQL-Based Table Decomposition—0
Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation—0
Agentic Medical Knowledge Graphs Enhance Medical Question Answering: Bridging the Gap Between LLMs and Evolving Medical Knowledge—0
Towards an automated workflow in materials science for combining multi-modal simulative and experimental information using data mining and large language models—0
SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models—0
Grounding LLM Reasoning with Knowledge Graphs—0
Beyond Seen Data: Improving KBQA Generalization Through Schema-Guided Logical Form GenerationCode0
Beyond Profile: From Surface-Level Facts to Deep Persona Simulation in LLMs—0
SearchRAG: Can Search Engines Be Helpful for LLM-based Medical Question Answering?—0
Multilingual European Language Models: Benchmarking Approaches and Challenges—0
Improving Clinical Question Answering with Multi-Task Learning: A Joint Approach for Answer Extraction and Medical Categorization—0
LongFaith: Enhancing Long-Context Reasoning in LLMs with Faithful Synthetic DataCode0
How Much Do LLMs Hallucinate across Languages? On Multilingual Estimation of LLM Hallucination in the WildCode0
Savaal: Scalable Concept-Driven Question Generation to Enhance Human Learning—0
The geometry of BERT—0
Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering—0
RAG vs. GraphRAG: A Systematic Evaluation and Key Insights—0
RA-MTR: A Retrieval Augmented Multi-Task Reader based Approach for Inspirational Quote Extraction from Long DocumentsCode0
Multi-Modal Retrieval Augmentation for Open-Ended and Knowledge-Intensive Video Question Answering—0
Language Models Can See Better: Visual Contrastive Decoding For LLM Multimodal ReasoningCode0
"See the World, Discover Knowledge": A Chinese Factuality Evaluation for Large Vision Language Models—0
LM Agents for Coordinating Multi-User Information Gathering—0
The Rotary Position Embedding May Cause Dimension Inefficiency in Attention Heads for Long-Distance Retrieval—0
Vendi-RAG: Adaptively Trading-Off Diversity And Quality Significantly Improves Retrieval Augmented Generation With LLMs—0
QuOTE: Question-Oriented Text Embeddings—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