06.Reading list

1.  Attention is all you need. NIPS 2017.

Taken by Adam Trott, Stephanie Ward, Mary Nankya on Day 2.

2.  High-Resolution Image Synthesis with Latent Diffusion Models. CVPR 2022.

Taken by Kalyan Kanagala, Ryan Berry on Day 2.

3.  Deep Residual Learning for Image Recognition. CVPR 2016.

Taken by Inderpreet Kaur, Kartik Gupta, Namrata Raghavan, Likhitha Sai Karanam on Day 3. 

4. Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models. OpenAI 2024.

Taken by Dung Nguyen on Day 1, Sowmya Perikala and Syed Zeeshan Ahsan on Day 3.

5.  BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. 2018

Taken by Ajeet Singh, MahmudaAkter Keya, Wenhao Wang, Junxing Ren, and Fnu Fawaz Mokthar on Day 2.

6. Language Models are Few-Shot Learners. NeurIPS 2020.

Taken by Koushik Kumar Reddy Mettupalli and Shriprasad FNU on Day 3.

7.  DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning. DeepSeek 2025. 

Taken by Saneeth Sunkari, Vinson Ramalingam, Aditya Sankar Ganamala, Ravikanth Gurugubell on Day 1.

8.  Highly accurate protein structure prediction with AlphaFold. Nature 2021.

Taken by Snehashish Srivastava and Shruthi Ravi on Day 2.

9.  Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm. DeepMind 2017.

Taken by Prakash Mallikanti, Pradyumna, Bindhu Saahithi, Anudeep Reddy on Day 3.

10.  Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. NeurIPS 2022. 

Taken by Jyoti Singh, Deepthi Nukalagudam, Naveen Burakala, Pranesh Ellapalayampudur  Anandagirisekar, Annapoorna Nagaraja on Day 3.