:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Oarga, Alexandru, Du, Yilun
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2510.20607
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Iterative Reasoning through Energy Diffusion
by: Du, Yilun, et al.
Published: (2024)

Generative Trajectory Stitching through Diffusion Composition
by: Luo, Yunhao, et al.
Published: (2025)

Reasoning with Sampling: Your Base Model is Smarter Than You Think
by: Karan, Aayush, et al.
Published: (2025)

Equilibrium Matching: Generative Modeling with Implicit Energy-Based Models
by: Wang, Runqian, et al.
Published: (2025)

Compositional Generative Modeling: A Single Model is Not All You Need
by: Du, Yilun, et al.
Published: (2024)

Energy-Based Models for Continual Learning
by: Li, Shuang, et al.
Published: (2020)

Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models
by: Béthune, Louis, et al.
Published: (2025)

Grounding Video Models to Actions through Goal Conditioned Exploration
by: Luo, Yunhao, et al.
Published: (2024)

Graph Energy Matching: Transport-Aligned Energy-Based Modeling for Graph Generation
by: Balcerak, Michal, et al.
Published: (2026)

Tackling GNARLy Problems: Graph Neural Algorithmic Reasoning Reimagined through Reinforcement Learning
by: Schutz, Alex, et al.
Published: (2025)

Compositional Risk Minimization
by: Mahajan, Divyat, et al.
Published: (2024)

Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains
by: Subramaniam, Vighnesh, et al.
Published: (2025)

Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC
by: Du, Yilun, et al.
Published: (2023)

Few-Shot Task Learning through Inverse Generative Modeling
by: Netanyahu, Aviv, et al.
Published: (2024)

Cognitive Load-Aware Inference: A Neuro-Symbolic Framework for Optimizing the Token Economy of Large Language Models
by: Zhang, Yilun
Published: (2025)

Large Language Models Are Bad Dice Players: LLMs Struggle to Generate Random Numbers from Statistical Distributions
by: Zhao, Minda, et al.
Published: (2026)

X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains
by: Liu, Qianchu, et al.
Published: (2025)

Neural Probabilistic Circuits: Enabling Compositional and Interpretable Predictions through Logical Reasoning
by: Chen, Weixin, et al.
Published: (2025)

Generalizability of Neural Networks Minimizing Empirical Risk Based on Expressive Ability
by: Yu, Lijia, et al.
Published: (2025)

Compositional Generative Inverse Design
by: Wu, Tailin, et al.
Published: (2024)

The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning
by: Agarwal, Shivam, et al.
Published: (2025)

CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities
by: Mao, Yujun, et al.
Published: (2024)

Solving New Tasks by Adapting Internet Video Knowledge
by: Luo, Calvin, et al.
Published: (2025)

Plan First, Diffuse Later: Extrinsic Graph Guidance for Long-Horizon Diffusion Planning
by: Hassidof, Yaniv, et al.
Published: (2026)

Improving Traffic Flow Predictions with SGCN-LSTM: A Hybrid Model for Spatial and Temporal Dependencies
by: Cismaru, Alexandru T.
Published: (2024)

Schema-Adaptive Tabular Representation Learning with LLMs for Generalizable Multimodal Clinical Reasoning
by: Mao, Hongxi, et al.
Published: (2026)

Continual Learning through Control Minimization
by: de Haan, Sander, et al.
Published: (2026)

SafeCoT: Improving VLM Safety with Minimal Reasoning
by: Ma, Jiachen, et al.
Published: (2025)

Uncovering the Representation Geometry of Minimal Cores in Overcomplete Reasoning Traces
by: Chowdhury, Sanjoy, et al.
Published: (2026)

Revisiting Transformer Layer Parameterization Through Causal Energy Minimization
by: Xu, Jin, et al.
Published: (2026)

SPIE: Semantic and Structural Post-Training of Image Editing Diffusion Models with AI feedback
by: Benarous, Elior, et al.
Published: (2025)

Enhancing RL Generalizability in Robotics through SHAP Analysis of Algorithms and Hyperparameters
by: Kong, Lingxiao, et al.
Published: (2026)

STA-GANN: A Valid and Generalizable Spatio-Temporal Kriging Approach
by: Li, Yujie, et al.
Published: (2025)

ARM: Discovering Agentic Reasoning Modules for Generalizable Multi-Agent Systems
by: Yao, Bohan, et al.
Published: (2025)

Masked Diffusion Models as Energy Minimization
by: Chen, Sitong, et al.
Published: (2025)

Exploring Energy Landscapes for Minimal Counterfactual Explanations: Applications in Cybersecurity and Beyond
by: Evangelatos, Spyridon, et al.
Published: (2025)

Layer Specialization Underlying Compositional Reasoning in Transformers
by: Liu, Jing
Published: (2025)

Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models
by: Qu, Yun, et al.
Published: (2026)

Online Reasoning Calibration: Test-Time Training Enables Generalizable Conformal LLM Reasoning
by: Zhou, Cai, et al.
Published: (2026)

Alpamayo-R1: Bridging Reasoning and Action Prediction for Generalizable Autonomous Driving in the Long Tail
by: NVIDIA, et al.
Published: (2025)