Research graph
References from LoRASculpt: Harmonious Low-Rank Adaptation for Multimodal Large Language Models. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1109/cvpr52734.2025.02437
10.1109/cvpr52734.2025.02437 · External reference
10.1109/cvpr52733.2024.02484
10.1109/cvpr52733.2024.02484 · External reference
10.1109/cvpr52733.2024.02283
10.1109/cvpr52733.2024.02283 · External reference
10.1109/cvpr52733.2024.02527
10.1109/cvpr52733.2024.02527 · External reference
Qwen2-VL: Enhancing vision-language model’s perception of the world at any resolution
2024 · External reference
LlaVA-onevision: Easy visual task transfer
2025 · External reference
10.52202/075280-1516
10.52202/075280-1516 · External reference
LoRA: Low-rank adaptation of large language models
2022 · External reference
DoRa: Weight-decomposed low-rank adaptation
2024 · External reference
VeRA: Vector-based random matrix adaptation
2024 · External reference
AdaLoRA: Adaptive budget allocation for parameter-efficient fine-tuning
2023 · External reference
LoRA learns less and forgets less
2024 · External reference
10.18653/v1/2024.acl-long.310
10.18653/v1/2024.acl-long.310 · External reference
10.18653/v1/2024.acl-long.106
10.18653/v1/2024.acl-long.106 · External reference
10.52202/079017-2292
10.52202/079017-2292 · External reference
10.18653/v1/2025.naacl-long.246
10.18653/v1/2025.naacl-long.246 · External reference
Model tailor: Mitigating catastrophic forgetting in multi-modal large language models
2024 · External reference
10.1109/cvpr52733.2024.02191
10.1109/cvpr52733.2024.02191 · External reference
ECoFLaP: Efficient coarse-to-fine layer-wise pruning for vision-language models
2024 · External reference
10.18653/v1/2024.acl-long.38
10.18653/v1/2024.acl-long.38 · External reference
Investigating the catastrophic forgetting in multimodal large language model fine-tuning
2024 · External reference
10.1007/s44267-024-00050-1
10.1007/s44267-024-00050-1 · External reference
Language models are super mario: Absorbing abilities from homologous models as a free lunch
2024 · External reference
10.18653/v1/2024.findings-acl.178
10.18653/v1/2024.findings-acl.178 · External reference
10.1145/1077464.1077466
10.1145/1077464.1077466 · External reference
Qwen-VL: A versatile vision-language model for understanding, localization, text reading, and beyond
2023 · External reference
10.1007/s44267-024-00070-x
10.1007/s44267-024-00070-x · External reference
A survey of safety on large vision-language models: Attacks, defenses and evaluations
2025 · External reference
10.1109/cvpr52734.2025.00374
10.1109/cvpr52734.2025.00374 · External reference
Learning transferable visual models from natural language supervision
2021 · External reference
10.1109/iccv51070.2023.01100
10.1109/iccv51070.2023.01100 · External reference
LLaMA: Open and efficient foundation language models
2023 · External reference
Vicuna: An open-source chatbot impressing GPT-4 with 90%* ChatGPT quality
2023 · External reference
Llama 2: Open foundation and fine-tuned chat models
2023 · External reference
The Llama 3 herd of models
2024 · External reference
Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models
2023 · External reference
10.1007/s11263-025-02572-7
10.1007/s11263-025-02572-7 · External reference
Learn from downstream and be yourself in multimodal large language model fine-tuning
2025 · External reference
Parameter-efficient transfer learning for NLP
2019 · External reference
Towards a unified view of parameter-efficient transfer learning
2022 · External reference
Compacter: Efficient low-rank hypercomplex adapter layers
External reference
10.18653/v1/2021.emnlp-main.243
10.18653/v1/2021.emnlp-main.243 · External reference
10.18653/v1/2022.emnlp-main.446
10.18653/v1/2022.emnlp-main.446 · External reference
10.18653/v1/2023.findings-acl.421
10.18653/v1/2023.findings-acl.421 · External reference
10.1109/tpami.2024.3367329
10.1109/tpami.2024.3367329 · External reference
10.1037//0033-295x.102.3.419
10.1037//0033-295x.102.3.419 · External reference
10.1016/s0079-7421(08)60536-8
10.1016/s0079-7421(08)60536-8 · External reference
10.1109/cvpr52688.2022.00024
10.1109/cvpr52688.2022.00024 · External reference
10.1109/comst.2025.3568279
10.1109/comst.2025.3568279 · External reference
10.1109/cvpr52688.2022.00990
10.1109/cvpr52688.2022.00990 · External reference
10.1109/tpami.2023.3327373
10.1109/tpami.2023.3327373 · External reference
On tiny episodic memories in continual learning
2019 · External reference
Gradient episodic memory for continual learning
2017 · External reference
Learning to learn without forgetting by maximizing transfer and minimizing interference
2019 · External reference
10.1073/pnas.1611835114
10.1073/pnas.1611835114 · External reference
Progress & compress: A scalable framework for continual learning
2018 · External reference
10.1109/icpr.2018.8545895
10.1109/icpr.2018.8545895 · External reference
Lifelong learning with dynamically expandable networks
2018 · External reference
10.18653/v1/2023.acl-long.612
10.18653/v1/2023.acl-long.612 · External reference
Progressive prompts: Continual learning for language models
2023 · External reference
10.18653/v1/2024.acl-srw.8
10.18653/v1/2024.acl-srw.8 · External reference
10.52202/068431-1481
10.52202/068431-1481 · External reference
10.1016/j.neucom.2021.01.078
10.1016/j.neucom.2021.01.078 · External reference
10.1109/icdm50108.2020.00073
10.1109/icdm50108.2020.00073 · External reference
10.1109/cvpr.2018.00810
10.1109/cvpr.2018.00810 · External reference
10.1007/978-3-030-01225-0_5
10.1007/978-3-030-01225-0_5 · External reference
10.1109/cvpr52733.2024.02270
10.1109/cvpr52733.2024.02270 · External reference
The lottery ticket hypothesis: Finding sparse, trainable neural networks
2019 · External reference
A simple and effective pruning approach for large language models
2023 · External reference
Learning both weights and connections for efficient neural network
2015 · External reference
10.18653/v1/2024.acl-long.69
10.18653/v1/2024.acl-long.69 · External reference
Understanding the role of training regimes in continual learning
2020 · External reference
ThanoRA: Task heterogeneity-aware multi-task low-rank adaptation
2025 · External reference
10.1109/cvpr52733.2024.01311
10.1109/cvpr52733.2024.01311 · External reference
10.1007/s11263-025-02491-7
10.1007/s11263-025-02491-7 · External reference
10.18653/v1/2024.findings-acl.598
10.18653/v1/2024.findings-acl.598 · External reference
10.18653/v1/2021.acl-long.378
10.18653/v1/2021.acl-long.378 · External reference
10.52202/079017-3846
10.52202/079017-3846 · External reference
LoSparse: Structured compression of large language models based on low-rank and sparse approximation
2023 · External reference
10.1109/cvpr52734.2025.01840
10.1109/cvpr52734.2025.01840 · External reference
10.52202/068431-2620
10.52202/068431-2620 · External reference
Solving token gradient conflict in mixture-of-experts for large vision-language model
2024 · External reference
IconQA: A new benchmark for abstract diagram understanding and visual language reasoning
2021 · External reference
10.1007/978-3-319-10602-1_48
10.1007/978-3-319-10602-1_48 · External reference
10.18653/v1/2022.findings-acl.177
10.18653/v1/2022.findings-acl.177 · External reference
10.1109/wacv48630.2021.00225
10.1109/wacv48630.2021.00225 · External reference
10.1109/cvpr.2009.5206848
10.1109/cvpr.2009.5206848 · External reference
10.1109/cvpr.2016.9
10.1109/cvpr.2016.9 · External reference
10.18653/v1/2022.emnlp-main.168
10.18653/v1/2022.emnlp-main.168 · External reference
10.1109/cvpr.2019.00331
10.1109/cvpr.2019.00331 · External reference
10.1109/icdar.2019.00156
10.1109/icdar.2019.00156 · External reference
10.1109/cvpr.2019.00686
10.1109/cvpr.2019.00686 · External reference
10.1109/cvpr.2019.00851
10.1109/cvpr.2019.00851 · External reference
Qwen2.5-VL technical report
2025 · External reference
What matters in transformers? Not all attention is needed
2024 · External reference
LoRI: Reducing cross-task interference in multi-task low-rank adaptation
2025 · External reference
10.1007/978-3-031-72983-6_12
10.1007/978-3-031-72983-6_12 · External reference
10.18653/v1/2023.findings-emnlp.715
10.18653/v1/2023.findings-emnlp.715 · External reference
10.18653/v1/2024.findings-acl.119
10.18653/v1/2024.findings-acl.119 · External reference
10.1109/cvpr52734.2025.01842
10.1109/cvpr52734.2025.01842 · External reference
REMEDY: Recipe merging dynamics in large vision-language models
2025 · External reference
10.1137/18m1192184
10.1137/18m1192184 · External reference
10.1016/j.spa.2019.06.003
10.1016/j.spa.2019.06.003 · External reference
10.1145/3444943
10.1145/3444943 · External reference
The high-dimensional geometry of binary neural networks
2018 · External reference
A probabilistic approach to neural network pruning
2021 · External reference
Geometry of neural network loss surfaces via random matrix theory
2017 · External reference
On biased compression for distributed learning
2023 · External reference
10.52202/085713-5422
10.52202/085713-5422 · External reference
10.52202/068431-1287
10.52202/068431-1287 · External reference
Whoever started the interference should end it: Guiding data-free model merging via task vectors
2025 · External reference
Noisy natural gradient as variational inference
2018 · External reference
10.52202/079017-0893
10.52202/079017-0893 · External reference
10.1109/wacv51458.2022.00372
10.1109/wacv51458.2022.00372 · External reference
