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 4851–4900 of 10817 papers

TitleStatusHype
A Question-answering Based Framework for Relation Extraction Validation—0
Towards Answering Open-ended Ethical Quandary Questions—0
Event-Based Time Label Propagation for Automatic Dating of News Articles—0
Event analysis for information extraction from business-based technical documents—0
EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE—0
A Question-Answering Approach to Key Value Pair Extraction from Form-like Document Images—0
Evaluation Paradigms in Question Answering—0
Evaluation of Two-level Dependency Representations of Argument Structure in Long-Distance Dependencies—0
CAPTION: Correction by Analyses, POS-Tagging and Interpretation of Objects using only Nouns—0
Evaluation of Transfer Learning for Polish with a Text-to-Text Model—0
Evaluation of Transfer Learning for Polish with a text-to-text model—0
CAPO: Reinforcing Consistent Reasoning in Medical Decision-Making—0
A Question Answering Approach to Emotion Cause Extraction—0
AIPatient: Simulating Patients with EHRs and LLM Powered Agentic Workflow—0
Evaluation of the KomParse Conversational Non-Player Characters in a Commercial Virtual World—0
Evaluation of Table Representations to Answer Questions from Tables in Documents : A Case Study using 3GPP Specifications—0
Capabilities of Gemini Models in Medicine—0
Evaluation of Review Summaries via Question-Answering—0
Can You Unpack That? Learning to Rewrite Questions-in-Context—0
Evaluation of RAG Metrics for Question Answering in the Telecom Domain—0
Evaluation of Question Answering Systems: Complexity of judging a natural language—0
Can you even tell left from right? Presenting a new challenge for VQA—0
Evaluation of medium-large Language Models at zero-shot closed book generative question answering—0
Evaluation of large language model performance on the Biomedical Language Understanding and Reasoning Benchmark—0
Can MLLMs Generalize to Multi-Party dialog? Exploring Multilingual Response Generation in Complex Scenarios—0
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