3:30pm - 4:00pm Amortized Inference for Aligning Large Language Models  (V Shah, M Jain, T Jiralerspong, A Ryoo)  slides / video

4:00pm - 4:30pm Does providing relevant in-context examples improve reasoning in LLMs? (S Joshi and A Didolkar)   slides / video

Coffee/pizza break

5:00pm - 5:30pm Parallelizable auto-regressive Inference in State Space Models  (D Secrieru) slides / video

5:30pm-6:00pm Paper presentation: LLaMA Pro: Progressive LLaMA with Block Expansion  (N Islah)   slides / video 

1:30pm - 2:00pm Scaling Transformer Value-based Deep RL (Anthony Gosselin, Jeremy Qin, Jinghan Sun) slides / video

2:00pm - 2:30 pm Scaling Law Analysis of Climate Foundation Models (Venkatesh Ramesh, Paloma Fernandez) slides / video

2:30pm - 3:00 pm Can μP Enable Zero-Shot Learned Optimizer Transfer?  (Benjamin Thérien) slides / video

3:00pm - 3:30pm pizza break

3:30pm - 4:00 pm Aligning Language Model with User Search Intent (Yuchen Hui, Congshu Zhou, Neeraj Kumar) slides / video

4:00 pm - 4:30 pm Starcaster: Probabilistic Multivariate Time Series Forecasting (Andrew Williams, Arjun Ashok) slides / video

4:30pm - 5:00pm Visual Instruction Tuning (Le Zhang) slides / video

5:00pm - 5:30pm A Survey of State Representation Learning for Deep RL (Ayoub Echchahed, Nassim El Massaudi) slides / video

10:00 - 10:30 Evaluating and Enhancing The Adversarial Robustness of Vision Language Models  (Rishika Bhagwatkar) slides / video

10:30 - 11:00 Infinite Learning Rate Schedulers for continually pretraining Foundation Models (Vaibhav Singh, Paria Mehrbod, Paul Janson) slides / video

11:00 - 11:30 coffee/snacks

11:30 - 12:00 Can LLMs model agent belief change using real-world data? (Sophie Wu ) slides / video

12:00 - 12:30 Investigating the Mechanistic Causes of Hallucinations in Language Models (Meng Cao ) slides /video

12:30 - 01:15 lunch break: pizza etc

01:15 - 01:45 Diffusion Models as Priors: Regularization Techniques (Misha Barth, Sammy Sharief ) slides / video

01:45 - 02:15 Fine-tuning LLMs for Mental Health Interventions (Tanner Ducharme ) slides / video

02:15 - 02:30 break: coffee/snacks 

02:30 - 03:00 Mamba vs Transformers: Comparative Study (Maxime Petrenko) slides / video

03:00 - 03:30 Can SSMs beat Transformers? (Megh, Istabrak, Jerome) slides / video

03:30 - 03:45 coffee/snacks

03:45 - 04:15 S4 and The Chomsky Hierarchy (Xaver Morin ) slides / video 

04:15 - 04:45 Neural Manifold Analysis of Classification Capacity in Continual Learning (Anirudh, Dhuruva and Neeraj ) slides / video

04:45- 05:00 coffee/snacks

05:00 - 05:30 Gitchameleon: Breaking the version barrier for code generation models (Nizar Islah) slides/ video

05:30 - 06:00 Interactive Rule Induction (Xiaoyin Chen, Junlin Wang, Xinyu Yuan, Le Zhang) slides / video

09:30 - 10:00 Brain2Vec: Searching for Multimodal Brain Dynamics Representations (William Callaghan ; Darsh Kaushik ; Juan David Vargas ; Jon Pilarte) slides / video

10:00  - 10:30 Political Alignment of LLMs (Jean-Romain Roy) slides / video

10:30 - 11:00 break

11:00 - 11:30 Tokenizer-Free Multimodality (Jonathan Siu Chi Lim; Mina Beiramy) slides / video

11:30- 12:00 TBA (Mahmood Hegazy, Karoline Lippert, Tommaso) slides / video

12:00 - 12:30 Joint Bias Mitigation and Privacy Preservation Feature Representation Framework for Vision (Maxime Gevers) slides / video

12:30 - 01:00 Evaluating Multi-Modal Alignment: Ethical Considerations in Vision Language Models (Mahsan Abdoli) slides / video

01:00 - 02:00 lunch: pizza etc

02:00 - 02:30 Transfer To Time-Series Domain (Yi Cong Li) slides / video

02:30 - 03:00 Accumulate while you Communicate: Hiding Communications in Distributed LLM Training (Adel Nabli) slides video

03:00 - 03:30 TBA (Emiliano Penaloza Shubham) slides / video

03:30 - 04:00 Boosting Medical ML (Aloys Portafaix) slides / video

04:00 - 04:15 coffee/snakcs

04:30 - 05:00 TBA (Nithya Shikarpur) slides / video

05:00 - 05:30 TBA (Subhrajyoti Dasgupta) slides / video