Contents

Date	Category	Topic	Presenter
Dec 19	LLMs	Numerical mismatch in LLM RL	Yunseok Han
	LLMs	TiDAR: Think in Diffusion, Talk in Autoregression	Hanjun Lee
Dec 12	Reinforcement Learning	Reward Reasoning Model	Hoeun Lee
	LLMs	LightRAG: Simple and Fast Retrieval-Augmented Generation	Geon Choi
	LLMs	HiFC: High-efficiency Flash-based KV Cache Swapping for Scaling LLM Inference	Dogeun Kim
Dec 5	LLMs	Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning	Yejoon Lee
	LLMs	HiFC: High-efficiency Flash-based KV Cache Swapping for Scaling LLM Inference	Dogeun Kim
Nov 28	LLMs	MoBE: Mixture-of-Basis-Experts for Compressing MoE-based LLMs	Sieun Hyeon
	Robotics	Robot Learning: A Tutorial	Hyeonggeun Kim
Nov 21	Reinforcement Learning	Mastering the game of Go with deep neural networks and tree search	Woohyeon Park
Nov 14	LLMs	ThinkMorph: Emergent Properties in Multimodal Interleaved Chain-of-Thought Reasoning	Yongha Lee
	Representation Learning	A Survey on Knowledge Graphs: Representation, Acquisition, and Applications	Minwoo Kim
Nov 7	LLMs	SparseD: Sparse Attention for Diffusion Language Models	Jinhyeok Kim
Oct 31	Representation Learning	Concerto: Joint 2D-3D Self-Supervised Learning Emerges Spatial Representations	Jusang Oh
	LLMs	Emergent Introspective Awareness in Large Language Models	Steve Cho
Oct 24	Vector DB	On the Theoretical Limitations of Embedding-Based Retrieval	Mintaek Lim
	Multimodal LLMs	DeepSeek-OCR: Contexts Optical Compression	Jaeik Kim
Oct 17	Generative Models	Video models are zero-shot learners and reasoners	Jihwan Hong
	LLMs	Persona Vectors: Monitoring and Controlling Character Traits in Language Models	Woojin Kim
Oct 10	LLMs	Training and Inference on Any-Order Autoregressive Models the Right Way	Yunseok Han
	LLMs	Dynamic Planning for LLM-based Graphical User Interface Automation	Hanjun Lee
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