most citedRevisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.SI2024

Incentivizing News Consumption on Social Media Platforms Using Large Language Models and Realistic Bot Accounts

Hadi Askari, Anshuman Chhabra, Bernhard Clemm von Hohenberg +2

Polarization, declining trust, and wavering support for democratic norms are pressing threats to U.S. democracy. Exposure to verified and quality news may lower individual suscepti…

cs.CL2024★ 1 cited

Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias

Anshuman Chhabra, Hadi Askari, Prasant Mohapatra

We characterize and study zero-shot abstractive summarization in Large Language Models (LLMs) by measuring position bias, which we propose as a general formulation of the more rest…