Papers
A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops
Shi Fu, Yingjie Wang, Yuzhu Chen et al.
A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimization
Shengjie Ren, Zimin Liang, Miqing Li et al.
A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization
Muhammed Ustaomeroglu, Guannan Qu
A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration
Yingqian Cui, Pengfei He, Xianfeng Tang et al.
A Theory for Conditional Generative Modeling on Multiple Data Sources
Rongzhen Wang, Yan Zhang, Chenyu Zheng et al.
A Theory for Token-Level Harmonization in Retrieval-Augmented Generation
Shicheng Xu, Liang Pang, Huawei Shen et al.
A Theory of Formalisms for Representing Knowledge
Heng Zhang, Guifei Jiang, Donghui Quan
A Theory of Initialisation's Impact on Specialisation
Devon Jarvis, Sebastian Lee, Clémentine Carla Juliette Dominé et al.
A Theory of Learning Unified Model via Knowledge Integration from Label Space Varying Domains
Dexuan Zhang, Thomas Westfechtel, Tatsuya Harada
A Theory of Learning with Autoregressive Chain of Thought
Nirmit Joshi, Gal Vardi, Adam Block et al.
A Theory of Response Sampling in LLMs: Part Descriptive and Part Prescriptive
Sarath Sivaprasad, Pramod Kaushik, Sahar Abdelnabi et al.
Athership at AraGenEval Shared Task: Identifying Arabic Authorship with a Dual-Model Logit Fusion
Mohamed Amin, Mahmoud Rady, Mariam Hossam et al.
A Thorough Comparison Between Independent Cascade and Susceptible-Infected-Recovered Models
Panfeng Liu, Guoliang Qiu, Biaoshuai Tao et al.
A Three-Tier LLM Framework for Forecasting Student Engagement from Qualitative Longitudinal Data
Ahatsham Hayat, Helen Martinez, Bilal Khan et al.
A Three-Tier LLM Framework for Forecasting Student Engagement from Qualitative Longitudinal Data
Ahatsham Hayat, Helen Martinez, Bilal Khan et al.
A Tight Convergence Analysis of Inexact Stochastic Proximal Point Algorithm for Stochastic Composite Optimization Problems
Shulan Zhu, Chenglong Bao, Defeng Sun et al.
A Tight Regret Analysis of Non-Parametric Repeated Contextual Brokerage
François Bachoc, Tommaso Cesari, Roberto Colomboni
A Timestep-Adaptive Frequency-Enhancement Framework for Diffusion-based Image Super-Resolution
Yueying Li, Hanbin Zhao, Jiaqing Zhou et al.
A Tiny Change, A Giant Leap: Long-Tailed Class-Incremental Learning via Geometric Prototype Alignment
Xinyi Lai, Luojun Lin, Weijie Chen et al.
ATK: Automatic Task-driven Keypoint Selection for Robust Policy Learning
Yunchu Zhang, Shubham Mittal, Zhengyu Zhang et al.
ATLANTIS at SemEval-2025 Task 3 : Detecting Hallucinated Text Spans in Question Answering
Catherine Kobus, Francois Lancelot, Marion - Cecile Martin et al.
ATLANTIS at SemEval-2025 Task 3 : Detecting Hallucinated Text Spans in Question Answering
Catherine Kobus, Francois Lancelot, Marion - Cecile Martin et al.
ATLANTIS: Weak-to-Strong Learning via Importance Sampling
Yi Liu, Guoyin Wang, Shicheng Li et al.
ATLAS: Agent Tuning via Learning Critical Steps
Zhixun Chen, Ming Li, Yuxuan Huang et al.
Atlas-Chat: Adapting Large Language Models for Low-Resource Moroccan Arabic Dialect
Guokan Shang, Hadi Abdine, Yousef Khoubrane et al.