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Found 6 papers, 1 papers with code
A Time-Aware Transformer Based Model for Suicide Ideation Detection on Social Media
Understanding the build-up of such ideation is critical for the identification of at-risk users and suicide prevention.
FLAME: A small language model for spreadsheet formulas
We evaluate FLAME on formula repair, formula completion, and similarity-based formula retrieval.
Repair Is Nearly Generation: Multilingual Program Repair with LLMs
We show that RING can outperform language-specific repair engines for three of these languages.
Neurosymbolic Repair for Low-Code Formula Languages
To address this problem, we developed LaMirage, a LAst-MIle RepAir-engine GEnerator that combines symbolic and neural techniques to perform last-mile repair in low-code formula languages.
Suicide Ideation Detection via Social and Temporal User Representations using Hyperbolic Learning
Recent psychological studies indicate that individuals exhibiting suicidal ideation increasingly turn to social media rather than mental health practitioners.
PHASE: Learning Emotional Phase-aware Representations for Suicide Ideation Detection on Social Media
Building on clinical studies, PHASE learns phase-like progressions in users{'} historical Plutchik-wheel-based emotions to contextualize suicidal intent.
