5 citations · 5 across the 6 of their papers we have counts for
30 papers
Turning Interaction History into Execution State: A Runtime Layer for Long-Horizon Coding Agents
Zehao Wang, Yisen Xu, Chenglin Li +5
Long-horizon coding agents accumulate hundreds of actions and observations in their trajectories, yet nothing in this record indicates which observations still describe the reposit…
When Model Release Meets Model Reuse: Producer-Consumer Misalignment in Hugging Face
Adekunle Ajibode, Oussama Ben Sghaier, Bram Adams +1
Pre-trained Language Models (PTLMs) are increasingly reused as dependencies in modern software systems, even though prior work has documented persistent structural problems in PTLM…
Don't Trust the Label: License Laundering in AI Supply Chains
James Jewitt, Hao Li, Gopi Krishnan Rajbahadur +2
AI artifacts move through a multi-platform supply chain, spanning datasets and models on Hugging Face and applications on GitHub. While each artifact carries a license whose obliga…
Don't Blame the Large Language Model: How Agent Harness Evolution Shapes Coding Agent Quality
Oussama Ben Sghaier, Hao Li, Bram Adams +1
Coding agents, autonomous systems that use large language models (LLMs) to resolve software engineering tasks, rely on agent harness: a middleware layer in between a developer and…
Agentic Software Engineering: Foundational Pillars and a Research Roadmap
Ahmed E. Hassan, Hao Li, Dayi Lin +4
Agentic Software Engineering (SE 3.0) represents a new era where intelligent agents are tasked not with simple code generation, but with achieving complex, goal-oriented SE objecti…
Towards Imputation of Pre-Trained Language Model Metadata using Semantic Fingerprinting
Adekunle Ajibode, Oussama Ben Sghaier, Keheliya Gallaba +2
Pre-trained language models (PTLMs) hosted on platforms such as Hugging Face form complex lineage structures similar to software dependency graphs. However, unlike traditional soft…