Excellent Young Computer Scientists Vision on Foundation Models

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Journal

Frontiers of Computer Science

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Showing 1-12 of 12 articles

Trustworthy evaluation of large language models
Xin-Yi Zhang
Han-Jia Ye
De-Chuan Zhan
Letter 17 October 2025 Article: 2002324
Agents with foundation models: advance and vision
Chenghua Gong
Xiang Li
Letter 22 November 2024 Article: 194330
LLaVA-Endo: a large language-and-vision assistant for gastrointestinal endoscopy
Jieru Yao
Xueran Li
Junwei Han
Letter 22 November 2024 Article: 194331
Optimizing low-rank adaptation with decomposed matrices and adaptive rank allocation
Dacao Zhang
Fan Yang
Meng Wang
Letter 22 November 2024 Article: 195337
Large language models make sample-efficient recommender systems
Jianghao Lin
Xinyi Dai
Weinan Zhang
Letter 22 November 2024 Article: 194328
Towards efficient and effective unlearning of large language models for recommendation
Hangyu Wang
Jianghao Lin
Yong Yu
Letter 20 November 2024 Article: 193327
Foundation models for topic modeling: a case study
Han Zeng
Jia-Ming Sun
Tong Wei
Letter 18 November 2024 Article: 192325
Debiasing vision-language models for vision tasks: a survey
Beier Zhu
Hanwang Zhang
Letter 12 November 2024 Article: 191321
Foundation model enhanced derivative-free cognitive diagnosis
Mingjia Li
Hong Qian
Aimin Zhou
Letter 11 November 2024 Article: 191318
Graph foundation model
Chuan Shi
Junze Chen
Cheng Yang
Letter 05 July 2024 Article: 186355
RA-CFGPT: Chinese financial assistant with retrieval-augmented large language model
Jiangtong Li
Yang Lei
Changjun Jiang
Letter 06 June 2024 Article: 185350
A glance at in-context learning
Yongliang Wu
Xu Yang
Letter 06 June 2024 Article: 185347

Excellent Young Computer Scientists Vision on Foundation Models

Participating journal

Frontiers of Computer Science

Articles

Trustworthy evaluation of large language models

Agents with foundation models: advance and vision

LLaVA-Endo: a large language-and-vision assistant for gastrointestinal endoscopy

Optimizing low-rank adaptation with decomposed matrices and adaptive rank allocation

Large language models make sample-efficient recommender systems

Towards efficient and effective unlearning of large language models for recommendation

Foundation models for topic modeling: a case study

Debiasing vision-language models for vision tasks: a survey

Foundation model enhanced derivative-free cognitive diagnosis

Graph foundation model

RA-CFGPT: Chinese financial assistant with retrieval-augmented large language model

A glance at in-context learning