Contents

Date	Category	Topic	Presenter
Sep 26	Robotics	LLaDA-VLA: Vision-Language Diffusion Action Models	Hoeun Lee
	LLMs	LLM Privacy Survey	Geun Choi
Sep 19	LLMs	Mixture of Lookup Experts	Sieun Hyeon
	LLMs	Self-Questioning Language Models	Yejoon Lee
Sep 12	LLMs	RoFormer: Enhanced Transformer with Rotary Position Embedding	Dogeun Kim
	Robotics	Latent Diffusion Planning for Imitation Learning	Hyeonggeun Kim
Aug 22	LLMs	Advancing Mobile GUI Agents: A Verifier-Driven Approach to Practical Deployment	Hanjun Lee
	Multimodal LLMs	Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts	Woohyeon Park
Aug 8	LLMs	SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity	Jinhyeok Kim
	LLMs	Subliminal Learning: Language Models Transmit Behavioral Traits via Hidden Signals in Data	Steve Cho
Jul 25	Generative Models	Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions	Jaeik Kim
	LLMs	Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation	Jusang Oh
Jul 18	Databases	On the Rankability of Visual Embeddings	Mintaek Lim
	LLMs	KV-efficient language models: MLA and sliding window attention	Yejoon Lee