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 1401–1450 of 10817 papers

TitleStatusHype
Benchmarking Large Language Models on CMExam -- A Comprehensive Chinese Medical Exam DatasetCode1
Improving Selective Visual Question Answering by Learning from Your PeersCode1
Analyzing Knowledge Graph Embedding Methods from a Multi-Embedding Interaction PerspectiveCode1
Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning StrategiesCode1
Leveraging Semantic Parsing for Relation Linking over Knowledge BasesCode1
In-Context Learning with Iterative Demonstration SelectionCode1
Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuningCode1
Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word AlignmentCode1
Clues Before Answers: Generation-Enhanced Multiple-Choice QACode1
CL-ReLKT: Cross-lingual Language Knowledge Transfer for Multilingual Retrieval Question AnsweringCode1
ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language TuningCode1
CLTR: An End-to-End, Transformer-Based System for Cell Level Table Retrieval and Table Question AnsweringCode1
Benchmarking Retrieval-Augmented Multimomal Generation for Document Question AnsweringCode1
An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented GenerationCode1
Improving Retrieval-Augmented Large Language Models via Data Importance LearningCode1
LinkQ: An LLM-Assisted Visual Interface for Knowledge Graph Question-AnsweringCode1
In Defense of Grid Features for Visual Question AnsweringCode1
Discovering Spatio-Temporal Rationales for Video Question AnsweringCode1
InfoBERT: Improving Robustness of Language Models from An Information Theoretic PerspectiveCode1
Attention-Based Context Aware Reasoning for Situation RecognitionCode1
Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing ConstraintCode1
Improving LLM Reasoning with Multi-Agent Tree-of-Thought Validator AgentCode1
CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question AnsweringCode1
Distilling Knowledge from Reader to Retriever for Question AnsweringCode1
Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence AnnotationCode1
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighterCode1
CLIP-Guided Vision-Language Pre-training for Question Answering in 3D ScenesCode1
Improving Embedded Knowledge Graph Multi-hop Question Answering by introducing Relational Chain ReasoningCode1
Clinical Reading Comprehension: A Thorough Analysis of the emrQA DatasetCode1
BERT-kNN: Adding a kNN Search Component to Pretrained Language Models for Better QACode1
Improving Factual Consistency of Abstractive Summarization via Question AnsweringCode1
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global InferenceCode1
Clinical-Longformer and Clinical-BigBird: Transformers for long clinical sequencesCode1
LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial RelationsCode1
Improving BERT with Syntax-aware Local AttentionCode1
Improving Language Understanding by Generative Pre-TrainingCode1
LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and GenerationCode1
BERTVision -- A Parameter-Efficient Approach for Question AnsweringCode1
Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision SignalsCode1
Clickbait Spoiling via Question Answering and Passage RetrievalCode1
BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity AllocationCode1
DocNLI: A Large-scale Dataset for Document-level Natural Language InferenceCode1
CLEVR-X: A Visual Reasoning Dataset for Natural Language ExplanationsCode1
IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and LanguagesCode1
DocVQA: A Dataset for VQA on Document ImagesCode1
Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question AnsweringCode1
Does Time Have Its Place? Temporal Heads: Where Language Models Recall Time-specific InformationCode1
LogEval: A Comprehensive Benchmark Suite for Large Language Models In Log AnalysisCode1
Better Question-Answering Models on a BudgetCode1
CLEVR-Math: A Dataset for Compositional Language, Visual and Mathematical ReasoningCode1
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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