activity
20172026
most citedInverse Reward Design

61 citations · 252 across the 19 of their papers we have counts for

collaborators
Showing 2025Show all

5 papers · 1 filter

cs.AI2025

Question the Questions: Auditing Representation in Online Deliberative Processes

Soham De, Lodewijk Gelauff, Ashish Goel +3

A central feature of many deliberative processes, such as citizens' assemblies and deliberative polls, is the opportunity for participants to engage directly with experts. While pa…

cs.AI2025

CTRL-Rec: Controlling Recommender Systems With Natural Language

Micah Carroll, Adeline Foote, Kevin Feng +4

When users are dissatisfied with recommendations from a recommender system, they often lack fine-grained controls for changing them. Large language models (LLMs) offer a solution b…

cs.CL2025

What's In My Human Feedback? Learning Interpretable Descriptions of Preference Data

Rajiv Movva, Smitha Milli, Sewon Min +1

Human feedback can alter language models in unpredictable and undesirable ways, as practitioners lack a clear understanding of what feedback data encodes. While prior work studies…

cs.LG2025★ 1 cited

Cultivating Pluralism In Algorithmic Monoculture: The Community Alignment Dataset

Lily Hong Zhang, Smitha Milli, Karen Jusko +12

How can large language models (LLMs) serve users with varying preferences that may conflict across cultural, political, or other dimensions? To advance this challenge, this paper e…

cs.SI2025

Representative Ranking for Deliberation in the Public Sphere

Manon Revel, Smitha Milli, Tyler Lu +2

Online comment sections, such as those on news sites or social media, have the potential to foster informal public deliberation, However, this potential is often undermined by the…