17 citations
- Menlo SchoolUS8 papers
- Google (United States)US2 papers
- Bellevue Hospital CenterUS1 paper
- Berkeley CollegeUS1 paper
- Changsha Mining and Metallurgy Research Institute (China)CN1 paper
- Indiana University BloomingtonUS1 paper
- Microsoft (United States)US1 paper
- Purdue University West LafayetteUS1 paper
- Rochester Institute of TechnologyUS1 paper
- Seattle UniversityUS1 paper
- University of California, BerkeleyUS1 paper
- University of California, Los AngelesUS1 paper
8 papers
Abstain and Validate: A Dual-LLM Policy for Reducing Noise in Agentic Program Repair
José Cambronero, Michele Tufano, Sherry Shi +7
Agentic Automated Program Repair (APR) is increasingly tackling complex, repository-level bugs in industry, but ultimately these patches still need to be reviewed by a human before…
Synthetic Tabular Data: Methods, Attacks and Defenses
Graham Cormode, Samuel Maddock, Enayat Ullah +1
Synthetic data is often positioned as a solution to replace sensitive fixed-size datasets with a source of unlimited matching data, freed from privacy concerns. There has been much…
Gradual Metaprogramming
Tianyu Chen, Darshal Shetty, Jeremy G. Siek +4
Data engineers increasingly use domain-specific languages (DSLs) to generate the code for data pipelines. Such DSLs are often embedded in Python. Unfortunately, there are challenge…
Finding Interest Needle in Popularity Haystack: Improving Retrieval by Modeling Item Exposure
Rahul Agarwal, Amit Jaspal, Saurabh Gupta +1
Recommender systems operate in closed feedback loops, where user interactions reinforce popularity bias, leading to over-recommendation of already popular items while under-exposin…
Coach: Exploiting Temporal Patterns for All-Resource Oversubscription in Cloud Platforms
Benjamin Reidys, Pantea Zardoshti, Íñigo Goiri +16
Cloud platforms remain underutilized despite multiple proposals to improve their utilization (e.g., disaggregation, harvesting, and oversubscription). Our characterization of the r…
SecAlign: Defending Against Prompt Injection with Preference Optimization
Sizhe Chen, Arman Zharmagambetov, Saeed Mahloujifar +3
Large language models (LLMs) are becoming increasingly prevalent in modern software systems, interfacing between the user and the Internet to assist with tasks that require advance…