Merge pull request ChiaXinLiang#27 from weian312/dev

update bib

MLLM_latex/chapter4/chap4_ref.bib

@@ -36,47 +36,47 @@ @article{ComprehensiveSurvey2024
 
 @article{ManipLLM2024,
   title={ManipLLM: Embodied Multimodal Large Language Model for Object ...},
-  author={Author Name},
+  author={},
   journal={CVPR},
   year={2024},
   url={https://openaccess.thecvf.com/content/CVPR2024/papers/Li_ManipLLM_Embodied_Multimodal_Large_Language_Model_for_Object-Centric_Robotic_Manipulation_CVPR_2024_paper.pdf}
 }
 
 @article{OverviewLMM2024,
   title={An Overview of Large Multi-modal Models (LMMs): Part 1},
-  author={Author Name},
+  author={},
   journal={Medium},
   year={2024},
   url={https://medium.com/@baicenxiao/introduction-to-the-large-multi-modal-models-llms-part-1-07de7e9caf40}
 }
 
 @article{ResearchDevelopment2023,
   title={ManipLLM: Embodied Multimodal Large Language Model for Object ...},
-  author={Author Name},
+  author={},
   journal={arXiv},
   year={2023},
   url={https://arxiv.org/html/2312.16217v1}
 }
 
 @article{MaskedVisionLanguage2023,
   title={Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering},
-  author={Author Name},
+  author={},
   journal={arXiv},
   year={2023},
   url={https://arxiv.org/abs/2307.05314}
 }
 
 @article{RAMMBiomedicalVQA2023,
   title={RAMM: Retrieval-augmented Biomedical Visual Question Answering},
-  author={Author Name},
+  author={},
   journal={arXiv},
   year={2023},
   url={https://arxiv.org/abs/2303.00534}
 }
 
 @article{MedicalVQA2023,
   title={Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering},
-  author={Author Name},
+  author={},
   journal={MICCAI},
   year={2023},
   url={https://conferences.miccai.org/2023/papers/401-Paper2138.html}
@@ -91,156 +91,129 @@ @misc{pengfeiliHEU2023
 
 @article{VisoAI2024,
   title={Vision Language Models: Exploring Multimodal AI},
-  author={Author Name},
+  author={},
   journal={Viso.ai},
   year={2024},
   url={https://viso.ai/deep-learning/vision-language-models/}
 }
 
 @article{FlexibleVLP2023,
   title={Fusion or Defusion? Flexible Vision-and-Language Pre-Training},
-  author={Author Name},
+  author={},
   journal={ACL Anthology},
   year={2023},
   url={https://aclanthology.org/2023.findings-acl.316}
 }
 
 @article{HeterogeneityFederatedVLP2024,
   title={Mitigating Heterogeneity in Federated Multimodal Learning with Biomedical VLP},
-  author={Author Name},
+  author={},
   journal={arXiv},
   year={2024},
   url={https://arxiv.org/html/2404.03854v1}
 }
 
 @article{FeedbackModalSearch2024,
   title={Feedback-based Modal Mutual Search for Attacking Vision-Language Models},
-  author={Author Name},
+  author={},
   journal={arXiv},
   year={2024},
   url={https://arxiv.org/html/2409.06726v1}
 }
 
 @article{TenyksBlogger2024,
   title={Multimodal Large Language Models (MLLMs) transforming computer vision},
-  author={Tenyks Blogger},
+  author={},
   journal={Medium},
   year={2024},
   url={https://medium.com/@tenyks_blogger/multimodal-large-language-models-mllms-transforming-computer-vision-76d3c5dd267f}
 }
 
 @article{EfficientMLLMs2024,
   title={Efficient Multimodal Large Language Models: A Survey},
-  author={Author Name},
+  author={},
   journal={arXiv},
   year={2024},
   url={https://arxiv.org/html/2405.10739v1}
 }
 
 @article{MultiwayAdapter2024,
   title={Multiway-Adapter: Adapting Multimodal Large Language Models for Specific Tasks},
-  author={Author Name},
+  author={},
   journal={IEEE Explore},
   year={2024},
   url={https://ieeexplore.ieee.org/document/10446792}
 }
 
 @article{RobustInstructionTuning2024,
   title={Towards Robust Instruction Tuning on Multimodal Large Language Models},
-  author={Author Name},
+  author={},
   journal={arXiv},
   year={2024},
   url={https://arxiv.org/html/2402.14492v2}
 }
 
 @article{CrossModalTasks2024,
   title={Cross-Modal Tasks in Multimodal Large Language Models},
-  author={Author Name},
+  author={},
   journal={Journal Name},
   year={2024},
   url={URL}
 }
 
 @article{FewShotZeroShotLearning2024,
   title={Few-Shot and Zero-Shot Learning in MLLMs},
-  author={Author Name},
+  author={},
   journal={Journal Name},
   year={2024},
   url={URL}
 }
 
 @article{FewShotLearning2024,
   title={Few-Shot Learning in Multimodal Large Language Models},
-  author={Author Name},
+  author={},
   journal={Journal Name},
   year={2024},
   url={URL}
 }
 
 @article{ZeroShotLearning2024,
   title={Zero-Shot Learning with CLIP},
-  author={Author Name},
+  author={},
   journal={Journal Name},
   year={2024},
   url={URL}
 }
 
 @article{TransferLearning2024,
   title={Transfer Learning in Multimodal Large Language Models},
-  author={Author Name},
+  author={},
   journal={Journal Name},
   year={2024},
   url={URL}
 }
 
 @article{InstructionTuning2024,
   title={Instruction Tuning for Multimodal Large Language Models},
-  author={Author Name},
+  author={},
   journal={Journal Name},
   year={2024},
   url={URL}
 }
 
 @article{NaturalLanguageInstructions2024,
   title={Natural Language Instructions for MLLMs},
-  author={Author Name},
+  author={},
   journal={Journal Name},
   year={2024},
   url={URL}
 }
 
 @article{MultimodalInstructionTuning2024,
   title={Multimodal Instruction Tuning},
-  author={Author Name},
+  author={},
   journal={Journal Name},
   year={2024},
   url={URL}
 }
 
-@misc{LarkSuite,
-  title = {Instruction Tuning},
-  howpublished = {\url{https://www.larksuite.com/en_us/topics/ai-glossary/instruction-tuning}},
-  year = {2023},
-  note = {Accessed: 2024-09-28}
-}
-
-@misc{OpenAICommunity,
-  title = {Can I fine-tune the model without the prompt and answer for the system role?},
-  howpublished = {\url{https://community.openai.com/t/can-i-fine-tune-the-model-without-the-prompt-and-answer-for-the-system-role/550580}},
-  year = {2023},
-  note = {Accessed: 2024-09-28}
-}
-
-@misc{RohitAggarwal,
-  author = {Rohit Aggarwal},
-  title = {AI systems with applications spanning software development, recruitment, and content creation},
-  howpublished = {\url{https://eccles.utah.edu/team/rohit-aggarwal/}},
-  note = {Accessed: 2024-09-28}
-}
-
-@misc{RedditExperience,
-  title = {My experience on starting with fine tuning LLMs with custom data},
-  howpublished = {\url{https://www.reddit.com/r/LocalLLaMA/comments/14vnfh2/my_experience_on_starting_with_fine_tuning_llms/}},
-  year = {2023},
-  note = {Accessed: 2024-09-28}
-}