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 2251–2300 of 10817 papers

TitleStatusHype
Co-attentional Transformers for Story-Based Video Understanding—0
All-in-one: Understanding and Generation in Multimodal Reasoning with the MAIA Benchmark—0
Asking questions on handwritten document collections—0
Adaptive Memory Networks—0
Coarse-to-Fine Question Answering for Long Documents—0
Coarse-to-Fine Query Focused Multi-Document Summarization—0
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models—0
Coarse to Fine Grained Sense Disambiguation in Wikipedia—0
Asking More Informative Questions for Grounded Retrieval—0
Differential Information: An Information-Theoretic Perspective on Preference Optimization—0
Dimensions of Interpersonal Relationships: Corpus and Experiments—0
Coarse-to-Fine Attention Models for Document Summarization—0
Coarse-to-Careful: Seeking Semantic-related Knowledge for Open-domain Commonsense Question Answering—0
Coarse Lexical Frame Acquisition at the Syntax--Semantics Interface Using a Latent-Variable PCFG Model—0
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering—0
Asking Clarification Questions in Knowledge-Based Question Answering—0
Coarse-grained decomposition and fine-grained interaction for multi-hop question answering—0
Coal Mining Question Answering with LLMs—0
Ask & Explore: Grounded Question Answering for Curiosity-Driven Exploration—0
Abstract Meaning Representation of Constructions: The More We Include, the Better the Representation—0
Different Contexts Lead to Different Word Embeddings—0
Differentiable End-to-End Program Executor for Sample and Computationally Efficient VQA—0
CNGL: Grading Student Answers by Acts of Translation—0
CMU LiveMedQA at TREC 2017 LiveQA: A Consumer Health Question Answering System—0
Ask-EDA: A Design Assistant Empowered by LLM, Hybrid RAG and Abbreviation De-hallucination—0
CMU: Arc-Factored, Discriminative Semantic Dependency Parsing—0
A Linguistic Study on Relevance Modeling in Information Retrieval—0
DIEM: Decomposition-Integration Enhancing Multimodal Insights—0
DIESEL -- Dynamic Inference-Guidance via Evasion of Semantic Embeddings in LLMs—0
A Simple Yet Strong Pipeline for HotpotQA—0
C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References—0
DictaBERT: A State-of-the-Art BERT Suite for Modern Hebrew—0
Clustering of Multi-Word Named Entity variants: Multilingual Evaluation—0
DIF: A Framework for Benchmarking and Verifying Implicit Bias in LLMs—0
Differentiable Retrieval Augmentation via Generative Language Modeling for E-commerce Query Intent Classification—0
DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels—0
Clustering Monolingual Vocabularies to Improve Cross-Lingual Generalization—0
Clustering Examples in Multi-Dataset Benchmarks with Item Response Theory—0
AliMe MKG: A Multi-modal Knowledge Graph for Live-streaming E-commerce—0
Cluster-Former: Clustering-based Sparse Transformer for Question Answering—0
Cluster-Former: Clustering-based Sparse Transformer for Long-Range Dependency Encoding—0
Agentic Medical Knowledge Graphs Enhance Medical Question Answering: Bridging the Gap Between LLMs and Evolving Medical Knowledge—0
A Simple Linear Patch Revives Layer-Pruned Large Language Models—0
A Simple End-to-End Question Answering Model for Product Information—0
CLTR: An End-to-End, Transformer-Based System for Cell-Level Table Retrieval and Table Question Answering—0
AliMe KG: Domain Knowledge Graph Construction and Application in E-commerce—0
Dialog state tracking, a machine reading approach using Memory Network—0
Dialogue Act Recognition for Text-based Sinhala—0
A Simple but Effective Method to Incorporate Multi-turn Context with BERT for Conversational Machine Comprehension—0
CL-ReKD: Cross-lingual Knowledge Distillation for Multilingual Retrieval Question Answering—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