Open Seminar

https://docs.google.com/spreadsheets/d/1eKBB_uq3RFhTCJDWD3AHzJW230Nmtl5G_gIwKD03dXc/edit?usp=sharing

2026 Course 2. LLM(VLM) Reasoning

1.  Scaling Laws for Neural Language Models, Emergent Abilities of LLMs / YoungMin Kim 

2. Chain-of-Thought Prompting Elicits Reasoning / HyunJi Jeon 

3. Self-Consistency Improves CoT Reasoning / JiHun Kim

4. Least-to-Most Prompting Enables Complex Reasoning / JunSeok Lee 

5. Tree of Thoughts: Deliberate Problem Solving / TaeHoon Lee 

6. Training Verifiers to Solve Math Word Problems, Let's Verify Step by Step / HeeSu Jo 

7.  LMs Don't Always Say What They Think (Unfaithful CoT), Reasoning Models Don't Always Say What They Think / Gunhee Lee 

8. Scaling LLM Test-Time Compute Optimally / HeeSu Jo 

9. DeepSeek-R1: Incentivizing Reasoning via RL, s1: Simple Test-Time Scaling / JiHun Kim

10. GSM-Symbolic: Limitations of Math Reasoning, The Illusion of Thinking / TaeHoon Lee 

11. ReAct: Synergizing Reasoning and Acting, Toolformer: LMs Can Teach Themselves to Use Tools / HyunJi Jeon 

12. Reflexion: Verbal Reinforcement / YoungMin Kim 

13. τ-bench: Tool-Agent-User Interaction, AMA-Bench: Long-Horizon Memory for Agents / JunSeok Lee 

14. Agentic Memory (AgeMem): Unified LTM/STM, Memory for Autonomous LLM Agents / Gunhee Lee 

2026 Course 1. GNN and Mamba

1.  그래프의 기본 성질과 GCN; Graph Convolution Network / TaeHoon Lee 

2. GraphSAGE; Inductive Representation Learning on Large Graphs / MyeongSeop Kim

3. GAT; Graph Attention Network / JiHun Kim

4. GIN; How Powerful are Graph Neural Networks? & WL Test / ByungWoo Kim

5. GNN Explainer; Generating Explanations for Graph Neural Networks / JeongA Seol

6. Application1. Spatial Transcriptomics / MyeongSeop Kim

7. Application 2; / ByungWoo Kim

8. Application 3; / JeongA Seol

9. Application 4; / WooKyung Kim

1. State Space Model / MyeongSeop Kim

2. Structered State Space for Sequence Modeling / JeongA Seol

3. Mamba 1: Selective State Space / TaeHoon Lee 

4. Mamba 2: Hardware-aware Algorithm & Mamba Architecture / ByungWoo Kim

5. Mamba for signal & Time Series

6. Vision Mamba; Efficient Visual Representation Learning with Bidirectional State Space Model

Next Coming

2026 Course 3. Generative Models

Course 4. Reinforcement Learning