163 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Menlo SchoolUS16 papers
- Google (United States)US3 papers
- Indiana University BloomingtonUS2 papers
- Massachusetts Institute of TechnologyUS2 papers
- Seattle UniversityUS2 papers
- Stanford UniversityUS2 papers
- University of California, BerkeleyUS2 papers
- University of Illinois Urbana-ChampaignUS2 papers
- University of Southern CaliforniaUS2 papers
- University of WashingtonUS2 papers
- Adobe Systems (United States)US1 paper
- Art Institute of PortlandUS1 paper
17 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…
Robust Predictions with Ambiguous Time Delays: A Bootstrap Strategy
Jiajie Wang, Zhiyuan Jerry Lin, Wen Chen
In contemporary data-driven environments, the generation and processing of multivariate time series data is an omnipresent challenge, often complicated by time delays between diffe…
Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks
Zhiyuan Cheng, Cheng Han, James Liang +3
Monocular Depth Estimation (MDE) plays a vital role in applications such as autonomous driving. However, various attacks target MDE models, with physical attacks posing significant…
LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers
Massinissa Merouani, Afif Boudaoud, Iheb Nassim Aouadj +7
While polyhedral compilers have shown success in implementing advanced code transformations, they still face challenges in selecting the ones that lead to the most profitable speed…
Factuality Challenges in the Era of Large Language Models
Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha +15
The emergence of tools based on Large Language Models (LLMs), such as OpenAI's ChatGPT, Microsoft's Bing Chat, and Google's Bard, has garnered immense public attention. These incre…
Multimodal Neural Databases
Giovanni Trappolini, Andrea Santilli, Emanuele Rodolà +2
The rise in loosely-structured data available through text, images, and other modalities has called for new ways of querying them. Multimedia Information Retrieval has filled this…
Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework with Spatio-Temporal Collaboration
Liqi Yan, Qifan Wang, Siqi Ma +2
Instance segmentation in videos, which aims to segment and track multiple objects in video frames, has garnered a flurry of research attention in recent years. In this paper, we pr…
Local Branching Relaxation Heuristics for Integer Linear Programs
Taoan Huang, Aaron Ferber, Yuandong Tian +2
Large Neighborhood Search (LNS) is a popular heuristic algorithm for solving combinatorial optimization problems (COP). It starts with an initial solution to the problem and iterat…
Building Human Values into Recommender Systems: An Interdisciplinary Synthesis
Jonathan Stray, Alon Halevy, Parisa Assar +18
Recommender systems are the algorithms which select, filter, and personalize content across many of the worlds largest platforms and apps. As such, their positive and negative effe…
Affective Signals in a Social Media Recommender System
Jane Dwivedi-Yu, Yi-Chia Wang, Lijing Qin +2
People come to social media to satisfy a variety of needs, such as being informed, entertained and inspired, or connected to their friends and community. Hence, to design a ranking…
Annotating Columns with Pre-trained Language Models
Yoshihiko Suhara, Jinfeng Li, Yuliang Li +4
Inferring meta information about tables, such as column headers or relationships between columns, is an active research topic in data management as we find many tables are missing…
TACTO: A Fast, Flexible, and Open-source Simulator for High-Resolution Vision-based Tactile Sensors
Shaoxiong Wang, Mike Lambeta, Po-Wei Chou +1
Simulators perform an important role in prototyping, debugging, and benchmarking new advances in robotics and learning for control. Although many physics engines exist, some aspect…