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2202.03629
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Survey of Hallucination in Natural Language Generation
ACM Computing Surveys (ACM CSUR), 2022
8 February 2022
Ziwei Ji
Nayeon Lee
Rita Frieske
Tiezheng Yu
D. Su
Yan Xu
Etsuko Ishii
Yejin Bang
Delong Chen
Wenliang Dai
Ho Shu Chan
Andrea Madotto
Pascale Fung
HILM
LRM
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Papers citing
"Survey of Hallucination in Natural Language Generation"
50 / 1,366 papers shown
Enhanced Bloom's Educational Taxonomy for Fostering Information Literacy in the Era of Large Language Models
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Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation
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Hongyu Chen
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A Survey of Large Language Model Agents for Question Answering
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24 Mar 2025
GINGER: Grounded Information Nugget-Based Generation of Responses
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2025
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23 Mar 2025
A Survey on Mathematical Reasoning and Optimization with Large Language Models
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Automating Adjudication of Cardiovascular Events Using Large Language Models
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GreenIQ: A Deep Search Platform for Comprehensive Carbon Market Analysis and Automated Report Generation
International Conference on Machine Learning Technologies (ICMLT), 2025
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Oluwole Fagbohun
Egonna Anaesiuba-Bristol
Onyekachukwu Ojumah
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271
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229
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Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations
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Nicola Cancedda
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18 Mar 2025
RAGO: Systematic Performance Optimization for Retrieval-Augmented Generation Serving
International Symposium on Computer Architecture (ISCA), 2025
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Suvinay Subramanian
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Vidushi Dadu
443
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311
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16 Mar 2025
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Applied Informatics (AI), 2025
Lachlan McGinness
Peter Baumgartner
202
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Frank McQuade
282
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Agent-Enhanced Large Language Models for Researching Political Institutions
Journal of Political Institutions and Political Economy (JPIPE), 2025
Joseph R. Loffredo
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266
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14 Mar 2025
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303
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Through the Magnifying Glass: Adaptive Perception Magnification for Hallucination-Free VLM Decoding
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190
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392
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358
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Uncovering Gaps in How Humans and LLMs Interpret Subjective Language
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252
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519
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214
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251
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309
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Experiences with Content Development and Assessment Design in the Era of GenAI
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Semantic Volume: Quantifying and Detecting both External and Internal Uncertainty in LLMs
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HuAMR: A Hungarian AMR Parser and Dataset
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On the Importance of Text Preprocessing for Multimodal Representation Learning and Pathology Report Generation
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Pathology Report Generation and Multimodal Representation Learning for Cutaneous Melanocytic Lesions
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242
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289
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