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 3601–3625 of 10817 papers

TitleStatusHype
VideoCon: Robust Video-Language Alignment via Contrast CaptionsCode1
Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional TrainingCode2
X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects—0
Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question PromptsCode0
XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMsCode1
Temporal Knowledge Question Answering via Abstract Reasoning InductionCode1
Rescue: Ranking LLM Responses with Partial Ordering to Improve Response GenerationCode0
On the Calibration of Multilingual Question Answering LLMs—0
Towards Verifiable Text Generation with Symbolic References—0
Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation—0
Attribute Diversity Determines the Systematicity Gap in VQACode0
ContraDoc: Understanding Self-Contradictions in Documents with Large Language ModelsCode1
Transformers in the Service of Description Logic-based ContextsCode0
German FinBERT: A German Pre-trained Language Model—0
Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context LearningCode0
Asking More Informative Questions for Grounded Retrieval—0
Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language ModelsCode1
Evaluating LLMs on Document-Based QA: Exact Answer Selection and Numerical Extraction using Cogtale dataset—0
Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning—0
Insights into Classifying and Mitigating LLMs' Hallucinations—0
The ART of LLM Refinement: Ask, Refine, and Trust—0
CPopQA: Ranking Cultural Concept Popularity by LLMs—0
Learning to Filter Context for Retrieval-Augmented GenerationCode2
How good are Large Language Models on African Languages?—0
Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQACode1
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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