The updated schedule (last version): ACDL-2025-Schedule
Arrival: Sunday June 8, 2025
9:00 - 9:50
Lecture 1/3 "Just a stochastic parrot? How LLMs Learn, Reason, and Self-Improve"
Sanjeev Arora 
9:50 - 10:40
Lecture 1/3 "Fine-Tuning Language Models"
Caglar Gulcehre 
10:40 - 11:20
Coffee break
11:20 - 12:10
Lecture 2/3 "A Skill-based view of LLM capabilities and their emergence"
Sanjeev Arora
12:10 - 13:00
Lecture 1/3 "Learning on Graphs: The Essentials"
Bryan Perozzi 
13:00 - 15:00
Lunch
15:00 - 15:50
Lecture "Introduction to Data Analytics for Networks – a Historical Perspective and Major Advances"
Panos Pardalos 
15:50 - 16:40
Lecture 2/3 "Challenges of using Graph Neural Networks"
Bryan Perozzi
16:40 - 17:20
Coffee break
17:20 - 18:10
Lecture 1/2 "On some Challenges of Embeddings Theory"
Liubov Tupikina 
18:10 - 19:00
Lecture 2/3 "Reinforcement Learning for Language Models"
Caglar Gulcehre
19:00 - 19:50
Lecture 2/2 "On some Challenges of Embeddings Theory"
Liubov Tupikina
20:00 -
Dinner
9:00 - 9:50
Lecture 1/3 "Reasoning and Planning Abilities of the Large Language Models"
Subbarao Kambhampati 
9:50 - 10:40
Lecture 3/3 ''LLM Metacognition: Eliciting and Leveraging LLMs' "Thinking about Thinking" ''
Sanjeev Arora
10:40 - 11:20
Coffee break
11:20 - 12:10
Lecture 3/3 "Graph Reasoning with Large Language Models"
Bryan Perozzi
12:10 - 13:00
Lecture 3/3 "Applications: Alignment for Safety and Reasoning for Scientific Discovery"
Caglar Gulcehre
13:00 - 15:00
Lunch
15:00 - 20:00
Free time
20:00 -
Dinner
9:00 - 9:50
Lecture 1/3 "Diffusion models: Intuition and Perspectives"
Sander Dieleman 
9:50 - 10:40
Lecture 2/3 "Reasoning and Planning Abilities of the Large Language Models"
Subbarao Kambhampati
10:40 - 11:20
Coffee break
11:20 - 12:10
Lecture 1/3 "Multi-Agent Deep Reinforcement Learning"
Joel Z. Leibo 
12:10 - 13:00
Lecture "Enterprise AI in Practice: Challenges, Requirements, and Use Cases"
Raniero Romagnoli 
13:00 - 15:00
Lunch
15:00 - 15:50
Lecture 3/3 "Reasoning and Planning Abilities of the Large Language Models"
Subbarao Kambhampati
15:50 - 16:40
Lecture 2/3 "Cooperative AI"
Joel Z. Leibo
16:40 - 17:20
Coffee break
17:20 - 18:10
Lecture 2/3 "Diffusion models: Guidance, Distillation and Advanced Topics"
Sander Dieleman
18:10 - 19:00
Lecture 3/3 "How to Train Neural Nets Effectively"
Sander Dieleman
19:00 - 19:50
Lecture 3/3 "Generative Agents"
Joel Z. Leibo
20:00 -
Dinner
9:00 - 13:00
Free time
13:00 - 15:00
Lunch
15:00 - 16:40
Tutorial
David Preti 
Diego Perna 
Federico Wolenski 
Francesco Buciuni 
16:40 - 17:20
Coffee break
17:20 - 18:10
Lecture 1/3 "Large Language Models I (Architecture)"
Tatsu Hashimoto 
18:10 - 19:00
Lecture 2/3 "Large Language Models II (Systems)"
Tatsu Hashimoto
19:00 - 19:50
Lecture 3/3 "Large Language Models III (Scaling, Post-Training)"
Tatsu Hashimoto
20:00 -
Dinner
9:00 - 10:40
Oral Session
10:40 - 11:20
Pause
11:20 - 13:00
Oral Session
13:00 - 15:00
Lunch
15:00 - 15:50
Lecture 1/5 "Scalable Post-Training Optimization for Large Language Models"
Lei Li 
15:50 - 16:40
Lecture 2/5 "Scaling Strategic Reasoning for Large Language Models"
Lei Li
16:40 - 17:20
Coffee break
17:20 - 18:10
Lecture 3/5 "The Science of Evaluation for Large Language Models"
Lei Li
18:10 - 19:00
Lecture 4/5 "Accelerating Transformer Language Models on GPUs"
Lei Li
19:00 - 19:50
Lecture 5/5 "Real-time Simultaneous Translation of Unbounded Streaming Speech"
Lei Li
20:00 -
Social Dinner
Departure: Saturday June 14, 2025
