LLM Club - Sharif University of Technology

LLM Club - Sharif University of Technology

Welcome to the official channel of the LLM Club at Sharif University of Technology! This channel is dedicated to exploring the latest advancements, research, and applications in Large Language Models (LLM).
Join us as we dive into cutting-edge topics, featuring presentations, discussions, and insights from experts in LLMs and Natural Language Processing. Each session covers recent breakthroughs, research papers, and practical applications of LLMs, providing valuable knowledge for students, researchers, and AI enthusiasts alike.
Subscribe to stay updated on our weekly sessions and deepen your understanding of the rapidly evolving world of large language models!
For any inquiries or collaboration opportunities, feel free to contact us at: [email protected]

session 26 : Reasoning with LLMs Using Test-Time Compute
session 26 : Reasoning with LLMs Using Test-Time Compute
session 31 : Uncertainty quantification for deep neural networks
session 31 : Uncertainty quantification for deep neural networks
session 30 : Hierarchical Reasoning Model
session 30 : Hierarchical Reasoning Model
session 29 : AlphaEvolve: A coding agent for scientific and algorithmic discovery
session 29 : AlphaEvolve: A coding agent for scientific and algorithmic discovery
session 28 : IDEA: Enhancing Rule Learning Through Inductive, Deductive, and Abductive Reasoning
session 28 : IDEA: Enhancing Rule Learning Through Inductive, Deductive, and Abductive Reasoning
session 27 : Does Mathematical Reasoning Training Improve General LLM Capabilities?
session 27 : Does Mathematical Reasoning Training Improve General LLM Capabilities?
Session 25: Why Translated Prompts Could Mislead Your Results
Session 25: Why Translated Prompts Could Mislead Your Results
Session 24 : Systematic Review of LLMs in Scientific Research and Ideation
Session 24 : Systematic Review of LLMs in Scientific Research and Ideation
Session 23 : Can Simplified RNNs Replace Transformers in LLMs?
Session 23 : Can Simplified RNNs Replace Transformers in LLMs?
Session 22 : How Can LLM Answer Questions Even Without the Question Text?
Session 22 : How Can LLM Answer Questions Even Without the Question Text?
Session 21 : Can LLMs reason like humans on Open-Ended Questions?
Session 21 : Can LLMs reason like humans on Open-Ended Questions?
Session 20 : Self-Improving Language Models via Imagination, Search, and Smart Criticism
Session 20 : Self-Improving Language Models via Imagination, Search, and Smart Criticism
Session 19 : Lessons from DeepSeek: Introducing DAPO
Session 19 : Lessons from DeepSeek: Introducing DAPO
Session 18 : Prompt Engineering
Session 18 : Prompt Engineering
Session 17 : Generative Models in Recommender Systems
Session 17 : Generative Models in Recommender Systems
session 15 : How Does DeepSeek Really Work
session 15 : How Does DeepSeek Really Work
session 14 : Aya-Expanse
session 14 : Aya-Expanse
session 13: Multi-Modal Agents: Memory, Tool Use, and Reasoning
session 13: Multi-Modal Agents: Memory, Tool Use, and Reasoning
Session 11: Enhancing Reasoning in LLMs
Session 11: Enhancing Reasoning in LLMs
Session 10: Scalable Attribution of Large Language Model Behaviors to Data Sources and Neurons
Session 10: Scalable Attribution of Large Language Model Behaviors to Data Sources and Neurons
Session 09: RAG (Innovations in Retrieval-Augmented Generation)
Session 09: RAG (Innovations in Retrieval-Augmented Generation)
Session 08: Dual Architecture for Enhancing Safety and Efficiency
Session 08: Dual Architecture for Enhancing Safety and Efficiency
Session 07: Review of Self-Instruct research
Session 07: Review of Self-Instruct research
Session 06: Unveiling LayerSkip - A New Approach by Meta AI for Large Language Models
Session 06: Unveiling LayerSkip - A New Approach by Meta AI for Large Language Models
Session 05: PEFT (Parameter Efficient FineTuning) - Presenter: Moein Salimi
Session 05: PEFT (Parameter Efficient FineTuning) - Presenter: Moein Salimi
Session 04: RL and LLMs - Presenter: Moein Salimi
Session 04: RL and LLMs - Presenter: Moein Salimi
Session 03: Multilingual AI: Insights into the Aya Model with Dr. Marzieh Fadaee
Session 03: Multilingual AI: Insights into the Aya Model with Dr. Marzieh Fadaee