16 citations · 73 across the 29 of their papers we have counts for
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cs.AI2026
Why Do Large Language Models Generate Harmful Content?
Rajesh Ganguli, Raha Moraffah
Large Language Models (LLMs) have been shown to generate harmful content. However, the underlying causes of such behavior remain under explored. We propose a causal mediation analy…
cs.AI2026
DAGverse: Building Document-Grounded Semantic DAGs from Scientific Papers
Shu Wan, Saketh Vishnubhatla, Iskander Kushbay +4
Directed Acyclic Graphs (DAGs) are widely used to represent structured knowledge in scientific and technical domains. However, datasets for real-world DAGs remain scarce because co…
cs.AI2025★ 2 cited
Can Large Language Models Infer Causal Relationships from Real-World Text?
Ryan Saklad, Aman Chadha, Oleg Pavlov +1
Understanding and inferring causal relationships from texts is a core aspect of human cognition and is essential for advancing large language models (LLMs) towards artificial gener…