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Inferring Network Evolutionary History via Structure-State Coupled Learning

Inferring Network Evolutionary History via Structure-State Coupled Learning

By En Xu

K-EXAONE Technical Report

K-EXAONE Technical Report

By Eunbi Choi

LION-DG: Layer-Informed Initialization with Deep Gradient Protocols for Accelerated Neural Network Training

LION-DG: Layer-Informed Initialization with Deep Gradient Protocols for Accelerated Neural Network Training

By Hyunjun Kim

LLM-Empowered Functional Safety and Security by Design in Automotive Systems

LLM-Empowered Functional Safety and Security by Design in Automotive Systems

By Nenad Petrovic

MCGI: Manifold-Consistent Graph Indexing for Billion-Scale Disk-Resident Vector Search

MCGI: Manifold-Consistent Graph Indexing for Billion-Scale Disk-Resident Vector Search

By Dongfang Zhao

MergeRec: Model Merging for Data-Isolated Cross-Domain Sequential Recommendation

MergeRec: Model Merging for Data-Isolated Cross-Domain Sequential Recommendation

By Hyunsoo Kim

Not All Needles Are Found: How Fact Distribution and Don't Make It Up Prompts Shape Literal Extraction, Logical Inference, and Hallucination Risks in Long-Context LLMs

Not All Needles Are Found: How Fact Distribution and Don't Make It Up Prompts Shape Literal Extraction, Logical Inference, and Hallucination Risks in Long-Context LLMs

By Amirali Ebrahimzadeh

Output Embedding Centering for Stable LLM Pretraining

Output Embedding Centering for Stable LLM Pretraining

By Felix Stollenwerk

pdfQA: Diverse, Challenging, and Realistic Question Answering over PDFs

pdfQA: Diverse, Challenging, and Realistic Question Answering over PDFs

By Tobias Schimanski

Perish or Flourish? A Holistic Evaluation of Large Language Models for Code Generation in Functional Programming

Perish or Flourish? A Holistic Evaluation of Large Language Models for Code Generation in Functional Programming

By Nguyet-Anh H. Lang

Placement Semantics for Distributed Deep Learning: A Systematic Framework for Analyzing Parallelism Strategies

Placement Semantics for Distributed Deep Learning: A Systematic Framework for Analyzing Parallelism Strategies

By Deep Pankajbhai Mehta

Project Ariadne: A Structural Causal Framework for Auditing Faithfulness in LLM Agents

Project Ariadne: A Structural Causal Framework for Auditing Faithfulness in LLM Agents

By Sourena Khanzadeh

Refinement Provenance Inference: Detecting LLM-Refined Training Prompts from Model Behavior

Refinement Provenance Inference: Detecting LLM-Refined Training Prompts from Model Behavior

By Bo Yin

RelayGR: Scaling Long-Sequence Generative Recommendation via Cross-Stage Relay-Race Inference

RelayGR: Scaling Long-Sequence Generative Recommendation via Cross-Stage Relay-Race Inference

By Jiarui Wang

SingingBot: An Avatar-Driven System for Robotic Face Singing Performance

By Zhuoxiong Xu

Subimage Overlap Prediction: Task-Aligned Self-Supervised Pretraining For Semantic Segmentation In Remote Sensing Imagery

Subimage Overlap Prediction: Task-Aligned Self-Supervised Pretraining For Semantic Segmentation In Remote Sensing Imagery

By Lakshay Sharma

Surprisal and Metaphor Novelty Judgments: Moderate Correlations and Divergent Scaling Effects Revealed by Corpus-Based and Synthetic Datasets

Surprisal and Metaphor Novelty Judgments: Moderate Correlations and Divergent Scaling Effects Revealed by Corpus-Based and Synthetic Datasets

By Omar Momen

Tackling the Inherent Difficulty of Noise Filtering in RAG

Tackling the Inherent Difficulty of Noise Filtering in RAG

By Jingyu Liu

The Invisible Hand of AI Libraries Shaping Open Source Projects and Communities

The Invisible Hand of AI Libraries Shaping Open Source Projects and Communities

By Matteo Esposito

The New Compiler Stack: A Survey on the Synergy of LLMs and Compilers

The New Compiler Stack: A Survey on the Synergy of LLMs and Compilers

By Shuoming Zhang