Papers
A Theoretical Framework for Partially-Observed Reward States in RLHF
Chinmaya Kausik, Mirco Mutti, Aldo Pacchiano et al.
A Theoretically-Principled Sparse, Connected, and Rigid Graph Representation of Molecules
Shih-Hsin Wang, Yuhao Huang, Justin M. Baker et al.
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 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 Response Sampling in LLMs: Part Descriptive and Part Prescriptive
Sarath Sivaprasad, Pramod Kaushik, Sahar Abdelnabi 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 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.
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.
Atlas: Customizing Large Language Models for Reliable Bibliographic Retrieval and Verification
Akash Kodali, Hailu Xu, Wenlu Zhang et al.
Atlas: Customizing Large Language Models for Reliable Bibliographic Retrieval and Verification
Akash Kodali, Hailu Xu, Wenlu Zhang et al.
ATLAS: Decoupling Skeletal and Shape Parameters for Expressive Parametric Human Modeling
Jinhyung Park, Javier Romero, Shunsuke Saito et al.
Atlas Gaussians Diffusion for 3D Generation
Haitao Yang, Yuan Dong, Hanwen Jiang et al.
AtlasIA at SemEval-2025 Task 11: FastText-Based Emotion Detection in Moroccan Arabic for Low-Resource Settings
Abdeljalil El Majjodi, Imane Momayiz, Nouamane Tazi