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Adaptive Summaries: A Personalized Concept-based Summarization Approach
  by Learning from Users' Feedback
v1v2 (latest)

Adaptive Summaries: A Personalized Concept-based Summarization Approach by Learning from Users' Feedback

24 December 2020
Samira Ghodratnama
Mehrdad Zakershahrak
Fariborz Sobhanmanesh
ArXiv (abs)PDFHTMLGithub (663★)

Papers citing "Adaptive Summaries: A Personalized Concept-based Summarization Approach by Learning from Users' Feedback"

4 / 4 papers shown
H-Net++: Hierarchical Dynamic Chunking for Tokenizer-Free Language Modelling in Morphologically-Rich Languages
H-Net++: Hierarchical Dynamic Chunking for Tokenizer-Free Language Modelling in Morphologically-Rich Languages
Mehrdad Zakershahrak
Samira Ghodratnama
VLM
111
0
0
07 Aug 2025
Are Large Language Models In-Context Personalized Summarizers? Get an
  iCOPERNICUS Test Done!
Are Large Language Models In-Context Personalized Summarizers? Get an iCOPERNICUS Test Done!Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Divya Patel
Pathik Patel
Ankush Chander
Sourish Dasgupta
Tanmoy Chakraborty
377
4
0
30 Sep 2024
PerSEval: Assessing Personalization in Text Summarizers
PerSEval: Assessing Personalization in Text Summarizers
Sourish Dasgupta
Ankush Chander
Parth Borad
Isha Motiyani
Tanmoy Chakraborty
260
4
0
29 Jun 2024
Adapting LLMs for Efficient, Personalized Information Retrieval: Methods
  and Implications
Adapting LLMs for Efficient, Personalized Information Retrieval: Methods and Implications
Samira Ghodratnama
Mehrdad Zakershahrak
232
17
0
21 Nov 2023
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