Papers
Test-time Correlation Alignment
Linjing You, Jiabao Lu, Xiayuan Huang
Maximum Total Correlation Reinforcement Learning
Bang You, Puze Liu, Huaping Liu et al.
Quadratic Upper Bound for Boosting Robustness
Euijin You, Hyang-Won Lee
ConfPO: Exploiting Policy Model Confidence for Critical Token Selection in Preference Optimization
Hee Suk Yoon, Eunseop Yoon, Mark A. Hasegawa-Johnson et al.
Monte Carlo Tree Diffusion for System 2 Planning
Jaesik Yoon, Hyeonseo Cho, Doojin Baek et al.
Understanding Sharpness Dynamics in NN Training with a Minimalist Example: The Effects of Dataset Difficulty, Depth, Stochasticity, and More
Geonhui Yoo, Minhak Song, Chulhee Yun
World Model Implanting for Test-time Adaptation of Embodied Agents
Minjong Yoo, Jinwoo Jang, Sihyung Yoon et al.
Interpreting the Repeated Token Phenomenon in Large Language Models
Itay Yona, Ilia Shumailov, Jamie Hayes et al.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift
Chao Ying, Jun Jin, Yi Guo et al.
CFP-Gen: Combinatorial Functional Protein Generation via Diffusion Language Models
Junbo Yin, Chao Zha, Wenjia He et al.
Trajectory World Models for Heterogeneous Environments
Shaofeng Yin, Jialong Wu, Siqiao Huang et al.
Which Attention Heads Matter for In-Context Learning?
Kayo Yin, Jacob Steinhardt
A Recipe for Causal Graph Regression: Confounding Effects Revisited
Yujia Yin, Tianyi Qu, Zihao Wang et al.
From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models
Mingjia Yin, Junwei Pan, Hao Wang et al.
TraceGrad: a Framework Learning Expressive SO(3)-equivariant Non-linear Representations for Electronic-Structure Hamiltonian Prediction
Shi Yin, Xinyang Pan, Fengyan Wang et al.
Constrain Alignment with Sparse Autoencoders
Qingyu Yin, Chak Tou Leong, Hongbo Zhang et al.
Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning
Shuai Yi, Yixiong Zou, Yuhua Li et al.
Random Registers for Cross-Domain Few-Shot Learning
Shuai Yi, Yixiong Zou, Yuhua Li et al.
From Debate to Equilibrium: Belief-Driven Multi-Agent LLM Reasoning via Bayesian Nash Equilibrium
Xie Yi, Zhanke Zhou, Chentao Cao et al.
iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection
Huahui Yi, Wei Xu, Ziyuan Qin et al.
All-atom inverse protein folding through discrete flow matching
Kai Yi, Kiarash Jamali, Sjors Hw Scheres
MIPT: Multilevel Informed Prompt Tuning for Robust Molecular Property Prediction
Yeyun Chen, Jiangming Shi
A Causal World Model Underlying Next Token Prediction: Exploring GPT in a Controlled Environment
Raanan Yehezkel Rohekar, Yaniv Gurwicz, Sungduk Yu et al.
Action-Constrained Imitation Learning
Chia-Han Yeh, Tse-Sheng Nan, Risto Vuorio et al.