Summary of Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future Directions, by Hao Du et al.
Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future Directionsby Hao Du, Shang Liu,…
Summary of Towards Safe and Honest Ai Agents with Neural Self-other Overlap, by Marc Carauleanu et al.
Towards Safe and Honest AI Agents with Neural Self-Other Overlapby Marc Carauleanu, Michael Vaiana, Judd…
Summary of Enhancing Large-scale Uav Route Planing with Global and Local Features Via Reinforcement Graph Fusion, by Tao Zhou et al.
Enhancing Large-scale UAV Route Planing with Global and Local Features via Reinforcement Graph Fusionby Tao…
Summary of Adaptable and Precise: Enterprise-scenario Llm Function-calling Capability Training Pipeline, by Guancheng Zeng et al.
Adaptable and Precise: Enterprise-Scenario LLM Function-Calling Capability Training Pipelineby Guancheng Zeng, Wentao Ding, Beining Xu,…
Summary of Telcolm: Collecting Data, Adapting, and Benchmarking Language Models For the Telecommunication Domain, by Camille Barboule et al.
TelcoLM: collecting data, adapting, and benchmarking language models for the telecommunication domainby Camille Barboule, Viet-Phi…
Summary of Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with Llm Alignment Through Direct Preference Optimization, by Sahil Wadhwa et al.
Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with LLM Alignment through Direct…
Summary of Continual Learning Using Only Large Language Model Prompting, by Jiabao Qiu et al.
Continual Learning Using Only Large Language Model Promptingby Jiabao Qiu, Zixuan Ke, Bing LiuFirst submitted…
Summary of Tl-training: a Task-feature-based Framework For Training Large Language Models in Tool Use, by Junjie Ye et al.
TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Useby Junjie Ye, Yilong…
Summary of Language Models As Continuous Self-evolving Data Engineers, by Peidong Wang et al.
Language Models as Continuous Self-Evolving Data Engineersby Peidong Wang, Ming Wang, Zhiming Ma, Xiaocui Yang,…
Summary of Og-rag: Ontology-grounded Retrieval-augmented Generation For Large Language Models, by Kartik Sharma et al.
OG-RAG: Ontology-Grounded Retrieval-Augmented Generation For Large Language Modelsby Kartik Sharma, Peeyush Kumar, Yunqing LiFirst submitted…