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 6201–6225 of 10817 papers

TitleStatusHype
A New Concept of Knowledge based Question Answering (KBQA) System for Multi-hop Reasoning—0
MedThink: Explaining Medical Visual Question Answering via Multimodal Decision-Making Rationale—0
Directed Domain Fine-Tuning: Tailoring Separate Modalities for Specific Training Tasks—0
Learning Cross-lingual Representations with Matrix Factorization—0
Learning Corresponded Rationales for Text Matching—0
DiPlomat: A Dialogue Dataset for Situated Pragmatic Reasoning—0
Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets—0
Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering—0
Learning Contextually Informed Representations for Linear-Time Discourse Parsing—0
MEGC2025: Micro-Expression Grand Challenge on Spot Then Recognize and Visual Question Answering—0
DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling—0
Learning Contextualized Knowledge Graph Structures for Commonsense Reasoning—0
DiN: Diffusion Model for Robust Medical VQA with Semantic Noisy Labels—0
Beihang-MSRA at SemEval-2017 Task 3: A Ranking System with Neural Matching Features for Community Question Answering—0
A New Approach for Idiom Identification Using Meanings and the Web—0
Adversarial TableQA: Attention Supervision for Question Answering on Tables—0
MEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension—0
Memento No More: Coaching AI Agents to Master Multiple Tasks via Hints Internalization—0
Learning Contextual Embeddings for Structural Semantic Similarity using Categorical Information—0
Learning Constraints for Consistent Timeline Extraction—0
MemInsight: Autonomous Memory Augmentation for LLM Agents—0
MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs—0
Dimensions of Interpersonal Relationships: Corpus and Experiments—0
Learning Compositional Representation for Few-shot Visual Question Answering—0
Learning Compact Lexicons for CCG Semantic Parsing—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