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 6201–6250 of 10817 papers

TitleStatusHype
Learning Fine-Grained Knowledge about Contingent Relations between Everyday Events—0
MedThink: Explaining Medical Visual Question Answering via Multimodal Decision-Making Rationale—0
Learning Faithful Representations of Causal Graphs—0
Learning Executable Semantic Parsers for Natural Language Understanding—0
Direct optimization of F-measure for retrieval-based personal question answering—0
BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering—0
Learning Entailment Relations by Global Graph Structure Optimization—0
Learning Embeddings for Transitive Verb Disambiguation by Implicit Tensor Factorization—0
Directional Gradient Projection for Robust Fine-Tuning of Foundation Models—0
MEGC2025: Micro-Expression Grand Challenge on Spot Then Recognize and Visual Question Answering—0
A New Concept of Knowledge based Question Answering (KBQA) System for Multi-hop Reasoning—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
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 Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering—0
Learning Contextually Informed Representations for Linear-Time Discourse Parsing—0
MemInsight: Autonomous Memory Augmentation for LLM Agents—0
MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs—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
Memory Augmented Neural Networks for Natural Language Processing—0
Beihang-MSRA at SemEval-2017 Task 3: A Ranking System with Neural Matching Features for Community Question Answering—0
Memory-Aware and Uncertainty-Guided Retrieval for Multi-Hop 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
Learning Contextual Embeddings for Structural Semantic Similarity using Categorical Information—0
Learning Constraints for Consistent Timeline Extraction—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
Learning by Hallucinating: Vision-Language Pre-training with Weak Supervision—0
Different Questions, Different Models: Fine-Grained Evaluation of Uncertainty and Calibration in Clinical QA with LLMs—0
A New Annotated Portuguese/Spanish Corpus for the Multi-Sentence Compression Task—0
Learning by Asking Questions—0
ELBA: Learning by Asking for Embodied Visual Navigation and Task Completion—0
MentalQA: An Annotated Arabic Corpus for Questions and Answers of Mental Healthcare—0
Learning Biological Processes with Global Constraints—0
Learning Better Sentence Representation with Syntax Information—0
Learning Based Approaches for Vietnamese Question Classification Using Keywords Extraction from the Web—0
Differential Information: An Information-Theoretic Perspective on Preference Optimization—0
Learning Answer Generation using Supervision from Automatic Question Answering Evaluators—0
Meta-Adaptive Prompt Distillation for Few-Shot Visual Question Answering—0
Meta Answering for Machine Reading—0
Learning Answer-Entailing Structures for Machine Comprehension—0
Allies: Prompting Large Language Model with Beam Search—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