Papers by Sahajpreet Singh

2 papers
Hate Personified: Investigating the role of LLMs in content moderation (2024.emnlp-main)

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Challenge: Our work provides preliminary guidelines and highlights the nuances of applying Large Language models in culturally sensitive cases.
Approach: They propose to use large language models to help with content moderation to assess how well the needs of diverse groups are reflected in annotated posts.
Outcome: The proposed model is able to leverage community-based flagging efforts and exposure to adversaries.
Intent-conditioned and Non-toxic Counterspeech Generation using Multi-Task Instruction Tuning with RLAIF (2024.naacl-long)

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Challenge: Existing systems that target hate speech with intent-conditioned counterspeech generate better results with longer contexts.
Approach: They propose a framework that enables counterspeech generation by modeling the pragmatic implications underlying social biases in hateful statements.
Outcome: The proposed framework outperforms existing benchmarks in intent-conditioned counterspeech generation.

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