Papers
The Belief State Transformer
Edward S. Hu, Kwangjun Ahn, Qinghua Liu et al.
Non-Equilibrium Dynamics of Hybrid Continuous-Discrete Ground-State Sampling
Timothee Leleu, Sam Reifenstein
Diffusion Transformers for Tabular Data Time Series Generation
Fabrizio Garuti, Enver Sangineto, Simone Luetto et al.
Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation
Carlos J Soto, Matthew Reimherr, Aleksandra Slavkovic et al.
Interpreting Emergent Planning in Model-Free Reinforcement Learning
Thomas Bush, Stephen Chung, Usman Anwar et al.
On Targeted Manipulation and Deception when Optimizing LLMs for User Feedback
Marcus Williams, Micah Carroll, Adhyyan Narang et al.
Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification
Santiago Cortes-Gomez, Carlos Miguel Patiño, Yewon Byun et al.
ScImage: How good are multimodal large language models at scientific text-to-image generation?
Leixin Zhang, Steffen Eger, Yinjie Cheng et al.
Semantic Temporal Abstraction via Vision-Language Model Guidance for Efficient Reinforcement Learning
Tian-Shuo Liu, Xu-Hui Liu, Ruifeng Chen et al.
Generating Freeform Endoskeletal Robots
Muhan Li, Lingji Kong, Sam Kriegman
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models
Bofei Gao, Feifan Song, Zhe Yang et al.
Learning Color Equivariant Representations
Yulong Yang, Felix O'Mahony, Christine Allen-Blanchette
Surprising Effectiveness of pretraining Ternary Language Model at Scale
Ayush Kaushal, Tejas Vaidhya, Arnab Kumar Mondal et al.
Connectome Mapping: Shape-Memory Network via Interpretation of Contextual Semantic Information
Kyungsu Lee, Haeyun Lee, Jae Youn Hwang
Restructuring Vector Quantization with the Rotation Trick
Christopher Fifty, Ronald Guenther Junkins, Dennis Duan et al.
VL-Cache: Sparsity and Modality-Aware KV Cache Compression for Vision-Language Model Inference Acceleration
Dezhan Tu, Danylo Vashchilenko, Yuzhe Lu et al.
Mixture of Attentions For Speculative Decoding
Matthieu Zimmer, Milan Gritta, Gerasimos Lampouras et al.
Causal Graphical Models for Vision-Language Compositional Understanding
Fiorenzo Parascandolo, Nicholas Moratelli, Enver Sangineto et al.
Active Task Disambiguation with LLMs
Kasia Kobalczyk, Nicolás Astorga, Tennison Liu et al.
SOAP: Improving and Stabilizing Shampoo using Adam for Language Modeling
Nikhil Vyas, Depen Morwani, Rosie Zhao et al.
MatExpert: Decomposing Materials Discovery By Mimicking Human Experts
Qianggang Ding, Santiago Miret, Bang Liu
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching
Arnav Kumar Jain, Harley Wiltzer, Jesse Farebrother et al.
Quantum (Inspired) D^2-sampling with Applications
Poojan Chetan Shah, Ragesh Jaiswal
Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks
Nguyen Hung-Quang, Ngoc-Hieu Nguyen, The-Anh Ta et al.
ZooProbe: A Data Engine for Evaluating, Exploring, and Evolving Large-scale Training Data for Multimodal LLMs
Yi-Kai Zhang, Shiyin Lu, Qing-Guo Chen et al.