{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T22:06:21Z","timestamp":1771625181545,"version":"3.50.1"},"reference-count":40,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,30]],"date-time":"2025-06-30T00:00:00Z","timestamp":1751241600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,6,30]]},"DOI":"10.1109\/icme59968.2025.11209792","type":"proceedings-article","created":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T17:57:42Z","timestamp":1761847062000},"page":"1-7","source":"Crossref","is-referenced-by-count":0,"title":["Leave the Bias in Bias: Mitigating the Label Noise Effects in Continual Visual Instruction Fine-Tuning"],"prefix":"10.1109","author":[{"given":"Xiaoyu","family":"Tan","sequence":"first","affiliation":[{"name":"INFLY TECH (Shanghai) Co., Ltd.,Shanghai,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Teqi","family":"Hao","sequence":"additional","affiliation":[{"name":"Shanghai University of Engineering Science,Shanghai,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xihe","family":"Qiu","sequence":"additional","affiliation":[{"name":"Shanghai University of Engineering Science,Shanghai,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaojie","family":"Shi","sequence":"additional","affiliation":[{"name":"Fudan University,Shanghai,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuan","family":"Cheng","sequence":"additional","affiliation":[{"name":"Fudan University,Shanghai,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Chu","sequence":"additional","affiliation":[{"name":"INFLY TECH (Shanghai) Co., Ltd.,Shanghai,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yinghui","family":"Xu","sequence":"additional","affiliation":[{"name":"Fudan University,Shanghai,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuan","family":"Qi","sequence":"additional","affiliation":[{"name":"Fudan University,Shanghai,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Llama 2: Open foundation and fine-tuned chat models","author":"Touvron","year":"2023"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s11023-020-09548-1"},{"key":"ref3","article-title":"Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality","author":"Chiang","year":"2023"},{"key":"ref4","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"International conference on machine learning","author":"Radford"},{"key":"ref5","article-title":"Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models","author":"Li","year":"2023"},{"key":"ref6","article-title":"Minigpt-4: Enhancing vision-language understanding with advanced large language models","author":"Zhu","year":"2023"},{"key":"ref7","article-title":"Visual instruction tuning","author":"Liu","year":"2023"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-emnlp.1055"},{"key":"ref9","article-title":"Videogpt: Video generation using vq-vae and transformers","author":"Yan","year":"2021"},{"key":"ref10","article-title":"Next-gpt: Any-to-any multimodal llm","author":"Wu","year":"2023"},{"key":"ref11","article-title":"Llava-med: Training a large language-and-vision assistant for biomedicine in one day","author":"Li","year":"2023"},{"key":"ref12","article-title":"Pmc-vqa: Visual instruction tuning for medical visual question answering","author":"Zhang","year":"2023"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.4135\/9781071810118"},{"key":"ref14","first-page":"20331","article-title":"Early-learning regularization prevents memorization of noisy labels","volume":"33","author":"Liu","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref15","article-title":"Robust early-learning: Hindering the memorization of noisy labels","volume-title":"International conference on learning representations","author":"Xia"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2021.3091178"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-industry.38"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-44693-1_53"},{"key":"ref19","article-title":"Generalized cross entropy loss for training deep neural networks with noisy labels","volume":"31","author":"Zhang","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2699783"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.168"},{"key":"ref22","article-title":"A holistic view of label noise transition matrix in deep learning and beyond","volume-title":"The Eleventh International Conference on Learning Representations","author":"Yong"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/0041-5553(64)90137-5"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.335"},{"key":"ref25","first-page":"27730","article-title":"Training language models to follow instructions with human feedback","volume":"35","author":"Ouyang","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.106771"},{"issue":"8","key":"ref27","first-page":"9","article-title":"Language models are unsupervised multitask learners","volume":"1","author":"Radford","year":"2019","journal-title":"OpenAI blog"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocy072"},{"key":"ref29","article-title":"Language models (mostly) know what they know","author":"Kadavath","year":"2022"},{"key":"ref30","first-page":"14153","article-title":"Robust training under label noise by over-parameterization","volume-title":"International Conference on Machine Learning","author":"Liu"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI48211.2021.9434010"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2018.251"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00686"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00331"},{"key":"ref35","article-title":"Meta-weight-net: Learning an explicit mapping for sample weighting","volume":"32","author":"Shu","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i1.25172"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1080\/1045988X.1993.9944611"},{"key":"ref38","first-page":"7260","article-title":"Dual t: Reducing estimation error for transition matrix in label-noise learning","volume":"33","author":"Yao","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref39","first-page":"25302","article-title":"Estimating instance-dependent bayes-label transition matrix using a deep neural network","volume-title":"International Conference on Machine Learning","author":"Yang"},{"key":"ref40","article-title":"Dirichlet-based per-sample weighting by transition matrix for noisy label learning","author":"Bae","year":"2024"}],"event":{"name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","location":"Nantes, France","start":{"date-parts":[[2025,6,30]]},"end":{"date-parts":[[2025,7,4]]}},"container-title":["2025 IEEE International Conference on Multimedia and Expo (ICME)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11208895\/11208897\/11209792.pdf?arnumber=11209792","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,20]],"date-time":"2026-02-20T21:11:47Z","timestamp":1771621907000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11209792\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,30]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/icme59968.2025.11209792","relation":{},"subject":[],"published":{"date-parts":[[2025,6,30]]}}}