AIDAS Seminar

Overview

Ongoing weekly reading seminars and technical presentations by AIDAS members.

Sessions

2026 Spring (26-1)

Date	Category	Topic	Presenter
Apr 3	Representation Learning	How Many Tokens Do 3D Point CloudTransformer Architectures Really Need?	Jusang Oh
	Representation Learning	ExpDrug: An explainable drug recommendation model based on space feature mapping	Sunghwan Steve Cho
Mar 27	LLMs	Online Experiential Learning for Language Models	Jaeik Kim
	Multimodal AI	DMAP: Human-Aligned Structural Document Map for Multimodal Document Understanding	Mintaek Lim
Mar 20	Multimodal AI	Demystifying Video Reasoning	Jihwan Hong
	LLMs	mHC: Manifold-Constrained Hyper-Connections	Woojin Kim
Mar 6	Diffusion Models	Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Principles	Yunseok Han
	LLMs	Cache-to-Cache: Direct Semantic Communication Between Large Language Models	Hanjun Lee
Feb 27	Data Systems	vLLM-Omni: Fully Disaggregated Serving for Any-to-Any Multimodal Models	Dogeun Kim
	Robotics	VLA-0 Building State-of-the-Art VLAs with Zero Modification	Geon Choi
Feb 13	Robotics	Latent Action Pretraining from Videos	Hoeun Lee
	LLMs	Introduction to Linear Attention	Yejoon Lee
Feb 6	Agent Systems	Latent Collaboration in Multi-Agent Systems	Sieun Hyeon
	Robotics	Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots	Hyeonggeun Kim
Jan 30	Reasoning	Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning	Woohyeon Park
	Robotics	Enhancing intention prediction and interpretability in service robots with LLM and KG	Minwoo Kim
Jan 23	LLMs	Progressive Trajectory Matching for Dataset Distillation	Steve Cho
	Reasoning	Reasoning Models Generate Societies of Thought	Yongha Lee
Jan 16	LLMs	K-Foundation Models	Jusang Oh
	LLMs	Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free	Jinhyeok Kim
Jan 9	Knowledge Graphs	OntoTune: Ontology-Driven Self-training for Aligning LLMs	Minteak Lim
	LLMs	AI models collapse when trained on recursively generated data	Jaeik Kim
Jan 2	LLMs	Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond)	Woojin Kim
	LLMs	A Path Towards Autonomous Machine Intelligence	Jihwan Hong

2025 Fall (25-2)

Date	Category	Topic	Presenter
Dec 19	LLMs	Numerical mismatch in LLM RL	Yunseok Han
	Diffusion Models	TiDAR: Think in Diffusion, Talk in Autoregression	Hanjun Lee
Dec 12	Reasoning	Reward Reasoning Model	Hoeun Lee
	Data Systems	LightRAG: Simple and Fast Retrieval-Augmented Generation	Geon Choi
	Data Systems	HiFC: High-efficiency Flash-based KV Cache Swapping for Scaling LLM Inference	Dogeun Kim
Dec 5	Reasoning	Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning	Yejoon Lee
	Data Systems	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	Reasoning	ThinkMorph: Emergent Properties in Multimodal Interleaved Chain-of-Thought Reasoning	Yongha Lee
	Knowledge Graphs	A Survey on Knowledge Graphs: Representation, Acquisition, and Applications	Minwoo Kim
Nov 7	Diffusion Models	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	Robotics	On the Theoretical Limitations of Embedding-Based Retrieval	Mintaek Lim
	Multimodal AI	DeepSeek-OCR: Contexts Optical Compression	Jaeik Kim
Oct 17	Multimodal AI	Video models are zero-shot learners and reasoners	Jihwan Hong
	Data Systems	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
	Agent Systems	Dynamic Planning for LLM-based Graphical User Interface Automation	Hanjun Lee
Sep 26	Robotics	LLaDA-VLA: Vision-Language Diffusion Action Models	Hoeun Lee
	AI Safety	LLM Privacy Survey	Geun Choi
Sep 19	LLMs	Mixture of Lookup Experts	Sieun Hyeon
	LLMs	Self-Questioning Language Models	Yejoon Lee
Sep 12	Representation Learning	RoFormer: Enhanced Transformer with Rotary Position Embedding	Dogeun Kim
	Robotics	Latent Diffusion Planning for Imitation Learning	Hyeonggeun Kim
Aug 22	Agent Systems	Advancing Mobile GUI Agents: A Verifier-Driven Approach to Practical Deployment	Hanjun Lee
	Multimodal AI	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	Reasoning	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	Representation Learning	On the Rankability of Visual Embeddings	Mintaek Lim
	LLMs	KV-efficient language models: MLA and sliding window attention	Yejoon Lee