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 701–750 of 10817 papers

TitleStatusHype
Event Extraction by Answering (Almost) Natural QuestionsCode1
ChartInstruct: Instruction Tuning for Chart Comprehension and ReasoningCode1
ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question AnsweringCode1
Evaluating Theory of Mind in Question AnsweringCode1
Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic DimensionCode1
Evaluating Open-Domain Question Answering in the Era of Large Language ModelsCode1
Evaluating Open-QA EvaluationCode1
ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language ModelsCode1
CharBERT: Character-aware Pre-trained Language ModelCode1
Evaluating Multimodal Representations on Visual Semantic Textual SimilarityCode1
Evaluating Very Long-Term Conversational Memory of LLM AgentsCode1
Evidentiality-guided Generation for Knowledge-Intensive NLP TasksCode1
Explicit Planning Helps Language Models in Logical ReasoningCode1
MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model EvaluationCode1
Evaluating Image Hallucination in Text-to-Image Generation with Question-AnsweringCode1
Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMsCode1
Evaluating language models as risk scoresCode1
Chain-of-Skills: A Configurable Model for Open-domain Question AnsweringCode1
Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited ExamplesCode1
Evaluating Human-Language Model InteractionCode1
Cerbero-7B: A Leap Forward in Language-Specific LLMs Through Enhanced Chat Corpus Generation and EvaluationCode1
A Cross-Task Analysis of Text Span RepresentationsCode1
ChainCQG: Flow-Aware Conversational Question GenerationCode1
A Gradually Soft Multi-Task and Data-Augmented Approach to Medical Question UnderstandingCode1
A Critical Evaluation of Evaluations for Long-form Question AnsweringCode1
CC-Riddle: A Question Answering Dataset of Chinese Character RiddlesCode1
Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLPCode1
CBench: Towards Better Evaluation of Question Answering Over Knowledge GraphsCode1
CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question AnsweringCode1
CCQA: A New Web-Scale Question Answering Dataset for Model Pre-TrainingCode1
AGI-Elo: How Far Are We From Mastering A Task?Code1
Change Detection Meets Visual Question AnsweringCode1
Causal Distillation for Language ModelsCode1
ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation ReasoningCode1
ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document UnderstandingCode1
CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual ScenesCode1
Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language ModelsCode1
ETC: Encoding Long and Structured Inputs in TransformersCode1
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive LearningCode1
ERAGent: Enhancing Retrieval-Augmented Language Models with Improved Accuracy, Efficiency, and PersonalizationCode1
Agentic Keyframe Search for Video Question AnsweringCode1
Ethics Sheets for AI TasksCode1
CARE: Collaborative AI-Assisted Reading EnvironmentCode1
Capturing Row and Column Semantics in Transformer Based Question Answering over TablesCode1
EntQA: Entity Linking as Question AnsweringCode1
Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language ModelsCode1
Towards General Natural Language Understanding with Probabilistic WorldbuildingCode1
Entity-Enriched Neural Models for Clinical Question AnsweringCode1
Equivariant and Invariant Grounding for Video Question AnsweringCode1
Entailment as Few-Shot LearnerCode1
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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