Publication LayoutPrompter: Awaken the Design Ability of Large Language Models Jiawei Lin, Jiaqi Guo, Shizhao Sun, Zijiang Yang, Jian-Guang Lou, Dongmei Zhang NeurIPS 2023 | October 2023
Publication Feature Decoupling Alignment for Fine-tuning Pre-trained Models in Few-shot Learning Kun Song, Huimin Ma, Bochao Zou, Huishuai Zhang, Weiran Huang NeurIPS 2023 | October 2023
Publication Efficient Model-Free Exploration in Low-Rank MDPs Zakaria Mhammedi, Adam Block, Dylan J. Foster, Alexander Rakhlin NeurIPS 2023 | October 2023
Publication Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective Zihan Luo, Jianxun Lian, Hong Huang, Xiran Song, Xing Xie, Hai Jin NeurIPS 2023 | October 2023
Publication Q-DM: An Efficient Low-bit Quantized Diffusion Model Yanjing Li, Sheng Xu, Xianbin Cao, Baochang Zhang, Xiao Sun NeurIPS 2023 | October 2023
Publication Closing the gap between the upper bound and lower bound of Adam’s iteration complexity Bohan Wang, Jingwen Fu, Huishuai Zhang, Nanning Zheng, Wei Chen NeurIPS 2023 | October 2023
Publication Clifford Group Equivariant Neural Networks David Ruhe, Johannes Brandstetter, Patrick Forré NeurIPS 2023 | October 2023
Publication Evaluating Cognitive Maps and Planning in Large Language Models with CogEval Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Robert Osazuwa Ness, Nebojsa Jojic, Hamid Palangi, Jonathan Larson NeurIPS 2023 | October 2023
Publication FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations Chanakya Ekbote, Ajinkya Pankaj Deshpande, Arun Iyer, Ramakrishna Bairi, Sundararajan Sellamanickam Neural Information Processing Systems (NeurIPS) | October 2023
Publication On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models Yufan Cai, Yun Lin, Chenyan Liu, Jinglian Wu, Yifan Zhang, Yiming Liu, Yeyun Gong, Jin Song Dong NeurIPS 2023 | October 2023