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 4876–4900 of 10817 papers

TitleStatusHype
A Question Answering Approach for Emotion Cause Extraction—0
Active Reasoning in an Open-World Environment—0
Abductive Reasoning as Self-Supervision for Common Sense Question Answering—0
TempRetriever: Fusion-based Temporal Dense Passage Retrieval for Time-Sensitive Questions—0
Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes—0
Evaluation of Faithfulness Using the Longest Supported Subsequence—0
Evaluation of Dataset Selection for Pre-Training and Fine-Tuning Transformer Language Models for Clinical Question Answering—0
Evaluation of ChatGPT on Biomedical Tasks: A Zero-Shot Comparison with Fine-Tuned Generative Transformers—0
Can We Infer Confidential Properties of Training Data from LLMs?—0
Can We Generate Visual Programs Without Prompting LLMs?—0
Evaluation of baseline information retrieval for Polish open-domain Question Answering system—0
Evaluation of AI Chatbots for Patient-Specific EHR Questions—0
Can We Create a Tool for General Domain Event Analysis?—0
A Quantitative Evaluation of Natural Language Question Interpretation for Question Answering Systems—0
Evaluation for Partial Event Coreference—0
Evaluation and Enhancement of Semantic Grounding in Large Vision-Language Models—0
Evaluating Zero-Shot GPT-4V Performance on 3D Visual Question Answering Benchmarks—0
Can Visual Language Models Replace OCR-Based Visual Question Answering Pipelines in Production? A Case Study in Retail—0
Evaluating Variable-Length Multiple-Option Lists in Chatbots and Mobile Search—0
Evaluating Tool-Augmented Agents in Remote Sensing Platforms—0
Evaluating the Symbol Binding Ability of Large Language Models for Multiple-Choice Questions in Vietnamese General Education—0
Evaluating the Robustness of Machine Reading Comprehension Models to Low Resource Entity Renaming—0
Can Vision-Language Models Answer Face to Face Questions in the Real-World?—0
AI-KU: Using Co-Occurrence Modeling for Semantic Similarity—0
Active Reading Comprehension: A Dataset for Learning the Question-Answer Relationship Strategy—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