From the 1 of 10 linked papers with an AI index.
2 citations · 2 across the 1 of their papers we have counts for
10 papers
Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity
Jiayi Zhang, Simon Yu, Derek Chong +4
The paper identifies typicality bias in preference data as a key cause of mode collapse in aligned large language models and introduces Verbalized Sampling, a training‑free prompti…
Change My View? The Dynamics of Persuasion and Polarization in Online Discourse
David Freeborn, Malihe Alikani, Anthony Sicilia
Philosophical accounts of persuasion often assume that shared evidence and rational argumentation should lead to a convergence of views between peers, yet everyday discourse often…
BASIL: Bayesian Assessment of Sycophancy in LLMs
Katherine Atwell, Pedram Heydari, Anthony Sicilia +1
Sycophancy (overly agreeable or flattering behavior) poses a fundamental challenge for human-AI collaboration, particularly in high-stakes decision-making domains such as health, l…
MixDPO: Modeling Preference Strength for Pluralistic Alignment
Saki Imai, Pedram Heydari, Anthony Sicilia +3
Preference based alignment objectives implicitly assume that all human preferences are expressed with equal strength. In practice, however, preference strength varies across indivi…
Identifying & Interactively Refining Ambiguous User Goals for Data Visualization Code Generation
Mert Ä°nan, Anthony Sicilia, Alex Xie +3
Establishing shared goals is a fundamental step in human-AI communication. However, ambiguities can lead to outputs that seem correct but fail to reflect the speaker's intent. In t…
Measuring How (Not Just Whether) VLMs Build Common Ground
Saki Imai, Mert Ä°nan, Anthony Sicilia +1
Large vision language models (VLMs) increasingly claim reasoning skills, yet current benchmarks evaluate them in single-turn or question answering settings. However, grounding is a…