Empirical mixed-methods study finds CS venues with accessible name change policies show fewer citation errors (899 vs 996 per 1,000 papers) and 92% drop in deadnaming of transgender researchers from 2019-2024.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
verdicts
UNVERDICTED 3representative citing papers
LLMs exhibit 20-40% lower recall on ambiguous human names for PII detection, worsening under prompt injections, as shown via the new AmBench benchmark.
Human-written screenplays pass the Bechdel test more often than those generated by GPT-5, Gemini 3 Pro, and Claude Sonnet 4.5, though network analyses show mixed bias patterns across all script types.
citing papers explorer
-
Making a Name for Myself: On Academic Naming Policies and their Impact
Empirical mixed-methods study finds CS venues with accessible name change policies show fewer citation errors (899 vs 996 per 1,000 papers) and 92% drop in deadnaming of transgender researchers from 2019-2024.
-
Can Large Language Models Really Recognize Your Name?
LLMs exhibit 20-40% lower recall on ambiguous human names for PII detection, worsening under prompt injections, as shown via the new AmBench benchmark.
-
Do Language Models Pass the Bechdel Test? Auditing Gender Biases in LLM-Generated Screenplays
Human-written screenplays pass the Bechdel test more often than those generated by GPT-5, Gemini 3 Pro, and Claude Sonnet 4.5, though network analyses show mixed bias patterns across all script types.