activity
20162026
most citedFine-tuning language models to find agreement among humans with diverse preferences

112 citations · 169 across the 14 of their papers we have counts for

collaborators
Showing 2025Show all

5 papers · 1 filter

cs.LG2025

Full-Stack Alignment: Co-Aligning AI and Institutions with Thick Models of Value

Joe Edelman, Tan Zhi-Xuan, Ryan Lowe +30

Beneficial societal outcomes cannot be guaranteed by aligning individual AI systems with the intentions of their operators or users. Even an AI system that is perfectly aligned to…

cs.CL2025

DEBATE: A Large-Scale Benchmark for Evaluating Opinion Dynamics in Role-Playing LLM Agents

Yun-Shiuan Chuang, Ruixuan Tu, Chengtao Dai +9

Modeling opinion change through social interactions is important for understanding polarization, misinformation, and societal conflict. Recent work simulates opinion dynamics with…

cs.AI2025

Language and Experience: A Computational Model of Social Learning in Complex Tasks

Cédric Colas, Tracey Mills, Ben Prystawski +4

The ability to combine linguistic guidance from others with direct experience is central to human development, enabling safe and rapid learning in new environments. How do people i…

cs.CL2025

Value Profiles for Encoding Human Variation

Taylor Sorensen, Pushkar Mishra, Roma Patel +6

Modelling human variation in rating tasks is crucial for personalization, pluralistic model alignment, and computational social science. We propose representing individuals using n…

cs.LG2025★ 7 cited

Language Agents as Digital Representatives in Collective Decision-Making

Daniel Jarrett, Miruna Pîslar, Michiel A. Bakker +6

Consider the process of collective decision-making, in which a group of individuals interactively select a preferred outcome from among a universe of alternatives. In this context,…