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 5001–5025 of 10817 papers

TitleStatusHype
Long-form Question Answering: An Iterative Planning-Retrieval-Generation Approach—0
Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation—0
Attribute Diversity Determines the Systematicity Gap in VQACode0
Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question PromptsCode0
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
The ART of LLM Refinement: Ask, Refine, and Trust—0
Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning—0
Evaluating LLMs on Document-Based QA: Exact Answer Selection and Numerical Extraction using Cogtale dataset—0
TempTabQA: Temporal Question Answering for Semi-Structured Tables—0
Insights into Classifying and Mitigating LLMs' Hallucinations—0
RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge—0
CPopQA: Ranking Cultural Concept Popularity by LLMs—0
How Well Do Large Language Models Understand Syntax? An Evaluation by Asking Natural Language QuestionsCode0
How good are Large Language Models on African Languages?—0
What Large Language Models Bring to Text-rich VQA?—0
A Benchmark to Understand the Role of Knowledge Graphs on Large Language Model's Accuracy for Question Answering on Enterprise SQL Databases—0
InCA: Rethinking In-Car Conversational System Assessment Leveraging Large Language Models—0
Hallucination Augmented Recitations for Language Models—0
Large Language Models are In-context Teachers for Knowledge Reasoning—0
AudioChatLlama: Towards General-Purpose Speech Abilities for LLMs—0
On the Robustness of Question Rewriting Systems to Questions of Varying HardnessCode0
BizBench: A Quantitative Reasoning Benchmark for Business and Finance—0
Visual Commonsense based Heterogeneous Graph Contrastive Learning—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