:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Alomrani, Mohammad Ali, Zhang, Yingxue, Li, Derek, Sun, Qianyi, Pal, Soumyasundar, Zhang, Zhanguang, Hu, Yaochen, Ajwani, Rohan Deepak, Valkanas, Antonios, Karimi, Raika, Cheng, Peng, Wang, Yunzhou, Liao, Pengyi, Huang, Hanrui, Wang, Bin, Hao, Jianye, Coates, Mark
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2507.02076
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning
by: Valkanas, Antonios, et al.
Published: (2025)

Personalized Negative Reservoir for Incremental Learning in Recommender Systems
by: Valkanas, Antonios, et al.
Published: (2024)

FEval-TTC: Fair Evaluation Protocol for Test-Time Compute
by: Rumiantsev, Pavel, et al.
Published: (2025)

Refining Answer Distributions for Improved Large Language Model Reasoning
by: Pal, Soumyasundar, et al.
Published: (2024)

E-CARE: An Efficient LLM-based Commonsense-Augmented Framework for E-Commerce
by: Zhang, Ge, et al.
Published: (2025)

Enhancing Logical Reasoning in Large Language Models through Graph-based Synthetic Data
by: Zhou, Jiaming, et al.
Published: (2024)

Multi-resolution Time-Series Transformer for Long-term Forecasting
by: Zhang, Yitian, et al.
Published: (2023)

GraphPPD: Posterior Predictive Modelling for Graph-Level Inference
by: Pal, Soumyasundar, et al.
Published: (2025)

One Demo Is All It Takes: Planning Domain Derivation with LLMs from A Single Demonstration
by: Huang, Jinbang, et al.
Published: (2025)

Extracting and Following Paths for Robust Relational Reasoning with Large Language Models
by: Zhang, Ge, et al.
Published: (2024)

Plain Transformers Can be Powerful Graph Learners
by: Ma, Liheng, et al.
Published: (2025)

CKGConv: General Graph Convolution with Continuous Kernels
by: Ma, Liheng, et al.
Published: (2024)

DyG2Vec: Efficient Representation Learning for Dynamic Graphs
by: Alomrani, Mohammad Ali, et al.
Published: (2022)

MODL: Multilearner Online Deep Learning
by: Valkanas, Antonios, et al.
Published: (2024)

Mem2Ego: Empowering Vision-Language Models with Global-to-Ego Memory for Long-Horizon Embodied Navigation
by: Zhang, Lingfeng, et al.
Published: (2025)

Todyformer: Towards Holistic Dynamic Graph Transformers with Structure-Aware Tokenization
by: Biparva, Mahdi, et al.
Published: (2024)

HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation
by: Cotnareanu, Joseph, et al.
Published: (2024)

SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting
by: Zhang, Yitian, et al.
Published: (2025)

Learning to Prune Instances of Steiner Tree Problem in Graphs
by: Zhang, Jiwei, et al.
Published: (2022)

Self-CriTeach: LLM Self-Teaching and Self-Critiquing for Improving Robotic Planning via Automated Domain Generation
by: Huang, Jinbang, et al.
Published: (2025)

GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection
by: Zhang, Zhanguang, et al.
Published: (2024)

MTLSO: A Multi-Task Learning Approach for Logic Synthesis Optimization
by: Faez, Faezeh, et al.
Published: (2024)

Logic Synthesis Optimization with Predictive Self-Supervision via Causal Transformers
by: Karimi, Raika, et al.
Published: (2024)

Plug and Play with Prompts: A Prompt Tuning Approach for Controlling Text Generation
by: Ajwani, Rohan Deepak, et al.
Published: (2024)

Sparse Decomposition of Graph Neural Networks
by: Hu, Yaochen, et al.
Published: (2024)

Omni-Thinker: Scaling Multi-Task RL in LLMs with Hybrid Reward and Task Scheduling
by: Li, Derek, et al.
Published: (2025)

When Engineering Outruns Intelligence: Rethinking Instruction-Guided Navigation
by: Aghaei, Matin, et al.
Published: (2025)

Preference and Concurrence Aware Bayesian Graph Neural Networks for Recommender Systems
by: Gu, Hongjian, et al.
Published: (2023)

Dynamic layer selection in decoder-only transformers
by: Glavas, Theodore, et al.
Published: (2024)

InvertiTune: High-Quality Data Synthesis for Cost-Effective Single-Shot Text-to-Knowledge Graph Generation
by: Faez, Faezeh, et al.
Published: (2025)

Enhancing CTR Prediction in Recommendation Domain with Search Query Representation
by: Wang, Yuening, et al.
Published: (2024)

The Graph's Apprentice: Teaching an LLM Low Level Knowledge for Circuit Quality Estimation
by: Moravej, Reza, et al.
Published: (2024)

E2ESlack: An End-to-End Graph-Based Framework for Pre-Routing Slack Prediction
by: Bodhe, Saurabh, et al.
Published: (2025)

SpatialCoT: Advancing Spatial Reasoning through Coordinate Alignment and Chain-of-Thought for Embodied Task Planning
by: Liu, Yuecheng, et al.
Published: (2025)

A Balanced Neuro-Symbolic Approach for Commonsense Abductive Logic
by: Cotnareanu, Joseph, et al.
Published: (2026)

It Takes Two: Your GRPO Is Secretly DPO
by: Wu, Yihong, et al.
Published: (2025)

H-WM: Robotic Task and Motion Planning Guided by Hierarchical World Model
by: Huang, Jinbang, et al.
Published: (2026)

LLM-Generated Black-box Explanations Can Be Adversarially Helpful
by: Ajwani, Rohan, et al.
Published: (2024)

Scalable Graph Self-Supervised Learning
by: Pasand, Ali Saheb, et al.
Published: (2024)

Uncertainty-Aware Gaussian Map for Vision-Language Navigation
by: Gao, Jianzhe, et al.
Published: (2026)