collaborators

7 papers

cs.PF2026

How the Dirty Set Moves: Characterizing Schedule Reuse in Incremental Sparse Matrix Multiplication

Hunter Horne, Eric Spencer, Alex Henningfield +1

Sparse matrices, in which most entries are zero, are central to scientific simulation, graph analytics and machine learning, and their multiplication with dense inputs is a core pa…

cs.LG2026

Evaluating Financial Sentiment in the Age of AI

Arslan Bisharat, Oudom Hean

Financial sentiment measures are widely used in empirical finance, but it remains unclear whether general-purpose large language models (LLMs) improve on existing finance-specific…

cs.CR2026

Strategies to Avoid Illegal Data Access

Muhammad Mubeen, Arslan Bisharat, Giri Anandhi

For companies of all sizes, data security is a top priority. The chance of unauthorized data access increases as technology develops. To prevent unwanted access to their data, busi…

cs.SE2026

TLA-Prover: Verifiable TLA+ Specification Synthesis via Preference-Optimized Low-Rank Adaptation

Eric Spencer, Arslan Bisharat, Brian Ortiz +6

TLA+ is a formal specification language for verifying distributed systems and safety-critical protocols. Large language models (LLMs) frequently produce TLA+ specifications that fa…

cs.SE2026

TLA+-Bench: An Execution-Grounded Benchmark and Dataset for Natural-Language to TLA Specification Generation

Arslan Bisharat, Eric Spencer, Brian Ortiz +8

Large language models increasingly write TLA formal specifications from natural-language descriptions, but progress is hard to measure: existing resources grade by resemblanc…

cs.SI2026

SPILLOVER: Measuring Cyberbullying NormPropagation on Social Media

Arslan Bisharat, Katelyn Skees, Mujtaba Nazari +5

While certain aspects of cyberbullying (CB) such as its factors and prevalence have been studied extensively, relatively little attention has been given to specifically how the agg…

cs.AI2026

Can LLMs Write Correct TLA+ Specifications? Evaluating Natural-Language-to-TLA+ Generation

Arslan Bisharat, Brian Ortiz, Eric Spencer +5

TLA+ has supported industrial verification at companies such as Amazon and Microsoft, yet writing correct TLA+ specifications from natural language still requires time and expertis…