Papers
Visually Consistent Hierarchical Image Classification
Seulki Park, Youren Zhang, Stella X. Yu et al.
Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation
Chenyu Zhang, Xu Chen, Xuan Di
Learning vector fields of differential equations on manifolds with geometrically constrained operator-valued kernels
Daning Huang, Hanyang He, John Harlim et al.
System 1.x: Learning to Balance Fast and Slow Planning with Language Models
Swarnadeep Saha, Archiki Prasad, Justin Chen et al.
Once-for-All: Controllable Generative Image Compression with Dynamic Granularity Adaptation
Anqi Li, Feng Li, Yuxi Liu et al.
MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy
Haitian Jiang, Renjie Liu, Zengfeng Huang et al.
Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning
Giseung Park, Youngchul Sung
On Large Language Model Continual Unlearning
Chongyang Gao, Lixu Wang, Kaize Ding et al.
An Empirical Analysis of Uncertainty in Large Language Model Evaluations
Qiujie Xie, Qingqiu Li, Zhuohao Yu et al.
A Robust Method to Discover Causal or Anticausal Relation
Yu Yao, Yang Zhou, Bo Han et al.
The "Law'' of the Unconscious Contrastive Learner: Probabilistic Alignment of Unpaired Modalities
Yongwei Che, Benjamin Eysenbach
On Evaluating the Durability of Safeguards for Open-Weight LLMs
Xiangyu Qi, Boyi Wei, Nicholas Carlini et al.
Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models
Logan Cross, Violet Xiang, Agam Bhatia et al.
h4rm3l: A Language for Composable Jailbreak Attack Synthesis
Moussa Koulako Bala Doumbouya, Ananjan Nandi, Gabriel Poesia et al.
Pacmann: Efficient Private Approximate Nearest Neighbor Search
Mingxun Zhou, Elaine Shi, Giulia Fanti
The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise
Yuanhao Ban, Ruochen Wang, Tianyi Zhou et al.
MTU-Bench: A Multi-granularity Tool-Use Benchmark for Large Language Models
Pei Wang, Yanan Wu, Noah Wang et al.
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation
Jihyo Kim, Seulbi Lee, Sangheum Hwang
Progress or Regress? Self-Improvement Reversal in Post-training
Ting Wu, Xuefeng Li, Pengfei Liu
CREIMBO: Cross-Regional Ensemble Interactions in Multi-view Brain Observations
Noga Mudrik, Ryan Ly, Oliver Ruebel et al.
DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
Wenlong Deng, Yize Zhao, Vala Vakilian et al.
DUALFormer: Dual Graph Transformer
Jiaming Zhuo, Yuwei Liu, Yintong Lu et al.
Proving Olympiad Inequalities by Synergizing LLMs and Symbolic Reasoning
Zenan Li, Zhaoyu Li, Wen Tang et al.
Automatic Curriculum Expert Iteration for Reliable LLM Reasoning
Zirui Zhao, Hanze Dong, Amrita Saha et al.