9 citations · 12 across the 5 of their papers we have counts for
5 papers
Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization
Ayan Majumdar, Shounak Paul, Pushpdeep Singh +6
The growing complexity of content moderation policies presents a critical challenge for their consistent operationalization. While foundation models possess the basic capabilities…
Characterizing Bluesky Content Moderation Service: From Automation of Service to Landscape of Harms
Pushpdeep Singh, Sayeh Jarollahi, Ayan Majumdar +5
Empirical research on content moderation is fundamentally constrained by the opaque deployment of moderation systems on major social media platforms. To this end, the recent emerge…
Translating Across Cultures: LLMs for Intralingual Cultural Adaptation
Pushpdeep Singh, Mayur Patidar, Lovekesh Vig
LLMs are increasingly being deployed for multilingual applications and have demonstrated impressive translation capabilities between several low and high-resource languages. An asp…
Don't Overlook the Grammatical Gender: Bias Evaluation for Hindi-English Machine Translation
Pushpdeep Singh
Neural Machine Translation (NMT) models, though state-of-the-art for translation, often reflect social biases, particularly gender bias. Existing evaluation benchmarks primarily fo…
Gender Inflected or Bias Inflicted: On Using Grammatical Gender Cues for Bias Evaluation in Machine Translation
Pushpdeep Singh
Neural Machine Translation (NMT) models are state-of-the-art for machine translation. However, these models are known to have various social biases, especially gender bias. Most of…