Search Results for author:
Found 5 papers, 1 papers with code
Aligning Multidimensional Worldviews and Discovering Ideological Differences
The Internet is home to thousands of communities, each with their own unique worldview and associated ideological differences.
Stereotype or Personalization? User Identity Biases Chatbot Recommendations
We demonstrate that when people use large language models (LLMs) to generate recommendations, the LLMs produce responses that reflect both what the user wants and who the user is.
From Nuisance to News Sense: Augmenting the News with Cross-Document Evidence and Context
Reading and understanding the stories in the news is increasingly difficult.
LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs
We reflect on human and LLMs' different sensitivities to instructions, stress the importance of enabling human-facing safeguards for LLMs, and discuss the potential of training humans and LLMs with complementary skill sets.
LAIT: Efficient Multi-Segment Encoding in Transformers with Layer-Adjustable Interaction
Transformer encoders contextualize token representations by attending to all other tokens at each layer, leading to quadratic increase in compute effort with the input length.
