Argument Generation with Retrieval, Planning, and Realization (2019 · 113 citations)
The paper tackles counter-argument generation: given a statement on a contentious topic, the system writes a paragraph that argues the opposing side.
Debate-to-Write: A Persona-Driven Multi-Agent Framework for Diverse Argument Generation (2025 · 15 citations)
Large language models tend to write arguments that drift toward one averaged viewpoint. They also generate text token by token without an explicit plan, which limits both the range of perspectives and the logical structure of argumentative essays. The authors address this with a framework that runs entirely through…
Guided by the Plan: Enhancing Faithful Autoregressive Text-to-Audio Generation with Guided Decoding (2026 · 2 citations)
Autoregressive (AR) text-to-audio generators produce temporally coherent sound. However, they often miss or misplace parts of complex prompts that describe several sound events. Diffusion models handle this better because they see the whole timeline at once. The authors probe the AR model Siren and find that its…

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Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 74 times (of the 149,439 papers whose bibliographies we read); 7 citing papers with a page here →.

Updated 31 October 2026