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 2451–2500 of 10817 papers

TitleStatusHype
Are You Robert or RoBERTa? Deceiving Online Authorship Attribution Models Using Neural Text Generators—0
Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity—0
DOSA: A Dataset of Social Artifacts from Different Indian Geographical Subcultures—0
“Are you calling for the vaporizer you ordered?” Combining Search and Prediction to Identify Orders in Contact Centers—0
Cheater's Bowl: Human vs. Computer Search Strategies for Open-Domain Question Answering—0
Are we there yet? Exploring clinical domain knowledge of BERT models—0
Align and Aggregate: Compositional Reasoning with Video Alignment and Answer Aggregation for Video Question-Answering—0
ChatSOS: Vector Database Augmented Generative Question Answering Assistant in Safety Engineering—0
Are we asking the right questions in MovieQA?—0
Chats-Grid: An Iterative Retrieval Q&A Optimization Scheme Leveraging Large Model and Retrieval Enhancement Generation in smart grid—0
ChatQA: Surpassing GPT-4 on Conversational QA and RAG—0
Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions—0
Adapting Biomedical Abstracts into Plain language using Large Language Models—0
Adapting and evaluating a deep learning language model for clinical why-question answering—0
Chat or Learn: a Data-Driven Robust Question-Answering System—0
Do not let the history haunt you -- Mitigating Compounding Errors in Conversational Question Answering—0
chatClimate: Grounding Conversational AI in Climate Science—0
ChatGPT versus Traditional Question Answering for Knowledge Graphs: Current Status and Future Directions Towards Knowledge Graph Chatbots—0
A Lightweight and High Performance Monolingual Word Aligner—0
Do not let the history haunt you: Mitigating Compounding Errors in Conversational Question Answering—0
ChatGPT as a Factual Inconsistency Evaluator for Text Summarization—0
Algorithm for Semantic Network Generation from Texts of Low Resource Languages Such as Kiswahili—0
Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs—0
Don't Read Too Much into It: Adaptive Computation for Open-Domain Question Answering—0
Do Sentence Transformers Learn Quasi-Geospatial Concepts from General Text?—0
ChatGPT in the Classroom: An Analysis of Its Strengths and Weaknesses for Solving Undergraduate Computer Science Questions—0
A Lexicon-based Investigation of Research Issues in Japanese Factuality Analysis—0
ChatASU: Evoking LLM's Reflexion to Truly Understand Aspect Sentiment in Dialogues—0
A Review on Deep Learning Techniques Applied to Answer Selection—0
Advancing Chart Question Answering with Robust Chart Component Recognition—0
ChartReasoner: Code-Driven Modality Bridging for Long-Chain Reasoning in Chart Question Answering—0
Chart Question Answering: State of the Art and Future Directions—0
A Review of Reinforcement Learning for Natural Language Processing, and Applications in Healthcare—0
ChartQA-X: Generating Explanations for Charts—0
ADAPT Centre Cone Team at IJCNLP-2017 Task 5: A Similarity-Based Logistic Regression Approach to Multi-choice Question Answering in an Examinations Shared Task—0
DOMLIN at SemEval-2019 Task 8: Automated Fact Checking exploiting Ratings in Community Question Answering Forums—0
ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models—0
A Review of Hybrid and Ensemble in Deep Learning for Natural Language Processing—0
ChartMind: A Comprehensive Benchmark for Complex Real-world Multimodal Chart Question Answering—0
ChartKG: A Knowledge-Graph-Based Representation for Chart Images—0
A review of faithfulness metrics for hallucination assessment in Large Language Models—0
A Learn-Then-Reason Model Towards Generalization in Knowledge Base Question Answering—0
Charting the Future: Using Chart Question-Answering for Scalable Evaluation of LLM-Driven Data Visualizations—0
A Review of Deep Learning for Video Captioning—0
Chart-HQA: A Benchmark for Hypothetical Question Answering in Charts—0
A Retrieval-Augmented Knowledge Mining Method with Deep Thinking LLMs for Biomedical Research and Clinical Support—0
ALBERT with Knowledge Graph Encoder Utilizing Semantic Similarity for Commonsense Question Answering—0
Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs—0
ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution—0
Are the Hidden States Hiding Something? Testing the Limits of Factuality-Encoding Capabilities in LLMs—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