Longze Chen
According to our database1,
Longze Chen
authored at least 22 papers
between 2024 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
EVADE: Multimodal Benchmark for Evasive Content Detection in E-Commerce Applications.
CoRR, May, 2025
VCM: Vision Concept Modeling Based on Implicit Contrastive Learning with Vision-Language Instruction Fine-Tuning.
CoRR, April, 2025
IPBench: Benchmarking the Knowledge of Large Language Models in Intellectual Property.
CoRR, April, 2025
OpenOmni: Large Language Models Pivot Zero-shot Omnimodal Alignment across Language with Real-time Self-Aware Emotional Speech Synthesis.
CoRR, January, 2025
DEEM: Diffusion models serve as the eyes of large language models for image perception.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
STORYTELLER: An Enhanced Plot-Planning Framework for Coherent and Cohesive Story Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
CoRR, 2024
The Imperative of Conversation Analysis in the Era of LLMs: A Survey of Tasks, Techniques, and Trends.
CoRR, 2024
Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs.
CoRR, 2024
CoRR, 2024
Long Context is Not Long at All: A Prospector of Long-Dependency Data for Large Language Models.
CoRR, 2024
DEEM: Diffusion Models Serve as the Eyes of Large Language Models for Image Perception.
CoRR, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Ruler: A Model-Agnostic Method to Control Generated Length for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Long Context is Not Long at All: A Prospector of Long-Dependency Data for Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024