ContextLoRA partitions a single LLM's LoRA parameters by task and trains them in dependency-graph order, while ContextGear adds pipeline parallelism to cut training time, together outperforming multi-task LoRA baselines on three custom benchmarks.
A UA V-Assisted Secure Communication System by Jointly Optimizing Transmit Power and Trajectory in the Internet of Things,
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Advancing Compositional LLM Reasoning with Structured Task Relations in Interactive Multimodal Communications
ContextLoRA partitions a single LLM's LoRA parameters by task and trains them in dependency-graph order, while ContextGear adds pipeline parallelism to cut training time, together outperforming multi-task LoRA baselines on three custom benchmarks.