Sixth Workshop on Neural Architecture Search

Accepted papers (7)

Fetched from OpenReview (v2) on 2026-06-10.

1. ☆CoLLM-NAS: Collaborative Large Language Models for Efficient Knowledge-Guided Neural Architecture Search

   Zhe Li, Zhiwei Lin, Yongtao Wang · PDF

2. ☆EcoNAS: Carbon and Cost-Aware Neural Architecture Search for Edge Vision Applications

   Mahule Roy, Subhas Roy · PDF

3. ☆Enhancing LLM-Based Neural Network Generation: Few-Shot Prompting and Efficient Validation for Automated Architecture Design

   Raghuvir Duvvuri, Chandini Vysyaraju, Avi Goyal, Dmitry Ignatov, Radu Timofte · PDF

4. ☆From Memorization to Creativity: LLM as a Designer of Novel Neural Architectures

   Waleed Khalid, Dmitry Ignatov, Radu Timofte · PDF

5. ☆LEMUR 2: Unlocking Neural Network Diversity for AI

   Tolgay Atinc Uzun, Waleed Khalid, Saif U Din, Sai Revanth Mulukuledu, Akashdeep Singh, Chandini Vysyaraju, Raghuvir Duvvuri, Avi Goyal, YASHKUMAR R LUKHI, Muhammad Ahsan Hussain, Krunal Jesani, Usha Shrestha, Yash Mittal, Roman Kochnev, Pritam Kadam, Mohsin ikram, Harsh Rameshbhai Moradiya, Alice Arslanian, Dmitry Ignatov, Radu Timofte · PDF

6. ☆NNGPT: Rethinking AutoML with Large Language Models

   Roman Kochnev, Waleed Khalid, Tolgay Atinc Uzun, Xi Zhang, Yashkumar Sanjaybhai Dhameliya, Furui Qin, Chandini Vysyaraju, Raghuvir Duvvuri, Avi Goyal, Dmitry Ignatov, Radu Timofte · PDF

7. ☆YOLO-NAS-Bench: A Surrogate Benchmark with Self-Evolving Predictors for YOLO Architecture Search

   Zhe Li, Xiaoyu Ding, Zheng Jiaxin, Yongtao Wang · PDF