4 papers
Against Opacity: Explainable AI and Large Language Models for Effective Digital Advertising
Qi Yang, Marlo Ongpin, Sergey Nikolenko +2
The opaqueness of modern digital advertising, exemplified by platforms such as Meta Ads, raises concerns regarding their autonomous control over audience targeting, pricing structu…
CCT-Code: Cross-Consistency Training for Multilingual Clone Detection and Code Search
Anton Tikhonov, Nikita Sorokin, Dmitry Abulkhanov +3
We consider the well-known and important tasks of clone detection and information retrieval for source code. The most standard setup is to search clones inside the same language co…
AI-generated text boundary detection with RoFT
Laida Kushnareva, Tatiana Gaintseva, German Magai +6
Due to the rapid development of large language models, people increasingly often encounter texts that may start as written by a human but continue as machine-generated. Detecting t…
Searching by Code: a New SearchBySnippet Dataset and SnippeR Retrieval Model for Searching by Code Snippets
Ivan Sedykh, Dmitry Abulkhanov, Nikita Sorokin +2
Code search is an important and well-studied task, but it usually means searching for code by a text query. We argue that using a code snippet (and possibly an error traceback) as…