Papers
HELM: Hierarchical Encoding for mRNA Language Modeling
Mehdi Yazdani-Jahromi, Mangal Prakash, Tommaso Mansi et al.
Exploring a Principled Framework for Deep Subspace Clustering
Xianghan Meng, Zhiyuan Huang, Wei He et al.
Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness
Qi Zhang, Yifei Wang, Jingyi Cui et al.
Topograph: An Efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation
Laurin Lux, Alexander H Berger, Alexander Weers et al.
Diffusion Models are Evolutionary Algorithms
Yanbo Zhang, Benedikt Hartl, Hananel Hazan et al.
Glad: A Streaming Scene Generator for Autonomous Driving
Bin Xie, Yingfei Liu, Tiancai Wang et al.
Chain-of-Thought Provably Enables Learning the (Otherwise) Unlearnable
Chenxiao Yang, Zhiyuan Li, David Wipf
Discrete Distribution Networks
Lei Yang
Scaling FP8 training to trillion-token LLMs
Maxim Fishman, Brian Chmiel, Ron Banner et al.
AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models
Junfeng Fang, Houcheng Jiang, Kun Wang et al.
Exploiting Distribution Constraints for Scalable and Efficient Image Retrieval
Mohammad Omama, Po-han Li, Sandeep P. Chinchali
Flavors of Margin: Implicit Bias of Steepest Descent in Homogeneous Neural Networks
Nikolaos Tsilivis, Gal Vardi, Julia Kempe
On the Modeling Capabilities of Large Language Models for Sequential Decision Making
Martin Klissarov, R Devon Hjelm, Alexander T Toshev et al.
Differentiable Rule Induction from Raw Sequence Inputs
Kun Gao, Katsumi Inoue, Yongzhi Cao et al.
Diffusion Models as Cartoonists: The Curious Case of High Density Regions
Rafal Karczewski, Markus Heinonen, Vikas Garg
Scaling In-the-Wild Training for Diffusion-based Illumination Harmonization and Editing by Imposing Consistent Light Transport
Lvmin Zhang, Anyi Rao, Maneesh Agrawala
From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities
Wanpeng Zhang, Zilong Xie, Yicheng Feng et al.
PAD: Personalized Alignment of LLMs at Decoding-time
Ruizhe Chen, Xiaotian Zhang, Meng Luo et al.
Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning
Caleb Chuck, Fan Feng, Carl Qi et al.
Visual Haystacks: A Vision-Centric Needle-In-A-Haystack Benchmark
Tsung-Han Wu, Giscard Biamby, Jerome Quenum et al.
Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation
Sicong Liu, Yang Shu, Chenjuan Guo et al.
Optimal Protocols for Continual Learning via Statistical Physics and Control Theory
Francesco Mori, Stefano Sarao Mannelli, Francesca Mignacco
SPARTUN3D: Situated Spatial Understanding of 3D World in Large Language Model
Yue Zhang, Zhiyang Xu, Ying Shen et al.
Needle Threading: Can LLMs Follow Threads Through Near-Million-Scale Haystacks?
Jonathan Roberts, Kai Han, Samuel Albanie
Advantage Alignment Algorithms
Juan Agustin Duque, Milad Aghajohari, Tim Cooijmans et al.