ICLR 2024 Conference Submissions

At Which Training Stage Does Code Data Help LLMs Reasoning?
YINGWEI MA, Yue Liu, Yue Yu, Yuanliang Zhang, Yu Jiang, Changjian Wang, Shanshan Li
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 spotlight
- Readers: Everyone
Reducing Atomic Clashes in Geometric Diffusion Models for 3D Structure-Based Drug Design
Jian Ma, Peilin Zhao, Tingyang Xu, Qifeng Bai
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Coordinate-Aware Modulation for Neural Fields
Joo Chan Lee, Daniel Rho, Seungtae Nam, Jong Hwan Ko, Eunbyung Park
- Published: 16 Jan 2024, Last Modified: 05 Apr 2024
- ICLR 2024 spotlight
- Readers: Everyone
Prompt-Tuning Decision Transformer with Preference Ranking
Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
The Program Testing Ability of Large Language Models for Code
Weimin Xiong, Yiwen Guo, Hao Chen
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Adversarial enhanced representation for link prediction in multi-layer networks
Ruohan Yang, Junyang Chen, Huan Wang, Mengzhu Wang, Ziwen Cui, Victor C. M. Leung, Di Wang
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
MG-NeRF: Multimodal Representation Learning for Generalizable NeRF
Tong Yu, ZeYu Li, Jingsheng Gao, Jiacheng Ruan, Mingye Xie, Zefang Yu, Ting Liu, yuzhuo fu
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Drug Discovery with Dynamic Goal-aware Fragments
Seul Lee, Seanie Lee, Sung Ju Hwang
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Self-Supervised Dataset Distillation for Transfer Learning
Dong Bok Lee, Seanie Lee, Joonho Ko, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang
- Published: 16 Jan 2024, Last Modified: 11 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Diffusion Models as Strong Adversaries
Xuelong Dai, Yanjie Li, Duan Mingxing, Bin Xiao
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Poor Teaching: Explore and Question Knowledge Distillation under Distribution Shift
Songming Zhang, Ziyu Lyu, Xiaofeng Chen
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
DOG: Diffusion-based Outlier Generation for Out-of-Distribution Detection
Hao Jiang, Zhen Fang, Xue Jiang, Zhun Zhong, Tongliang Liu, Bo Han
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation
Yuqi Wang, Yuntao Chen, Xingyu Liao, Lue Fan, Zhaoxiang Zhang
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms
Ge Yan, Hongxu Chen, Kaisen Pan, Junchi Yan
- Published: 16 Jan 2024, Last Modified: 15 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Are We in (A)Sync?: Guidance for Efficient Federated Learning
Jaemin Shin, Myungjin Lee, Sung-Ju Lee, Ramana Rao Kompella
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Task-Distributionally Robust Data-Free Meta-Learning
Zixuan Hu, Li Shen, Zhenyi Wang, Yongxian Wei, Baoyuan Wu, Chun Yuan, Dacheng Tao
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
An Attention-based Approach for Bayesian Optimization with Dependencies
Jiaxing Li, Wei Liu, Chao Xue, Xiaoxing Wang, Weifeng Liu, Dacheng Tao
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs
Lean Wang, Wenkai Yang, Deli Chen, Hao Zhou, Yankai Lin, Fandong Meng, Jie Zhou, Xu Sun
- Published: 16 Jan 2024, Last Modified: 21 Apr 2024
- ICLR 2024 poster
- Readers: Everyone
Bayesian Offline-to-Online Reinforcement Learning : A Realist Approach
Hao Hu, Yiqin Yang, Jianing Ye, Ziqing Mai, Yujing Hu, Tangjie Lv, Changjie Fan, Qianchuan Zhao, Chongjie Zhang
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
GNRK: Graph Neural Runge-Kutta method for solving partial differential equations
Hoyun Choi, Sungyeop Lee, Byungnam Kahng, Junghyo Jo
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
Hypothesis Search: Inductive Reasoning with Language Models
Ruocheng Wang, Eric Zelikman, Gabriel Poesia, Yewen Pu, Nick Haber, Noah Goodman
- Published: 16 Jan 2024, Last Modified: 13 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Embed-Search-Align: DNA Sequence Alignment using Transformer models
Pavan S Holur, Kenneth Enevoldsen, Lajoyce Mboning, Thalia Georgiou, Louis Bouchard, Matteo Pellegrini, vwani Roychowdhury
- 21 Sept 2023 (modified: 11 Feb 2024)
- Submitted to ICLR 2024
- Readers: Everyone
RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models
Zekun Wang, zhongyuan peng, Haoran Que, Jiaheng Liu, Wangchunshu Zhou, Yuhan Wu, Hongcheng Guo, Ruitong Gan, Zehao Ni, Man Zhang, Zhaoxiang Zhang, Wanli Ouyang, Ke Xu, Wenhu Chen, Jie Fu, Junran Peng
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Language Model Decoding as Direct Metrics Optimization
Haozhe Ji, Pei Ke, Hongning Wang, Minlie Huang
- Published: 16 Jan 2024, Last Modified: 05 Mar 2024
- ICLR 2024 poster
- Readers: Everyone
Amortising the Gap between Pre-training and Fine-tuning for Video Instance Segmentation
Qing Zhong, Peng-Tao Jiang, Wen Wang, Hao Chen, Chengxiang Fan, Lin Yuanbo Wu
- 21 Sept 2023 (modified: 25 Mar 2024)
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone