A multi-agent framework is presented for political coalition formation using LLMs, combining Supervised Fine-Tuning, Direct Preference Optimization, and Retrieval-Augmented Generation.

The paper proposes a method using on-chain voting analysis to detect emerging partisan communities within DAOs, demonstrating that addresses destined to fork cluster together months before actual orga…

The paper introduces TikStance, a multimodal and context-aware dataset for stance detection in political discussions on TikTok.

This paper analyzes 18 state-level AI committee reports to understand how policymakers discuss AI benefits and risks, comparing them to established taxonomy and HCI scholars' concerns.

This paper proposes a secure liquid democracy mechanism using sealed delegation and ranked multi-delegation with personal fallback ballots, and evaluates its impact on representational accuracy and vo…

The paper proposes a secure, verifiable, and privacy-preserving e-collecting protocol tailored for the Swiss political system, guaranteeing participation privacy even without assuming an anonymous com…

This paper proposes a method for auditing parliamentary elections to certify a winning majority instead of individual seats, reducing the number of ballots inspected by almost a thousand-fold.

This paper proves that winner determination under Stable Voting and Simple Stable Voting is PSPACE-complete.

This paper improves an algorithm for computing lower bounds on the margin of a Single Transferable Vote (STV) election, making risk-limiting audits more practical.

This paper introduces campaign diagrams, a visualization technique for analyzing resource utilization and identifying bottlenecks in modern workloads.

This paper introduces Democratic ICAI, an approach to summarize preferences into natural-language principles through structured persona debate, yielding clearer and more comprehensive steering princip…

This paper introduces a new way to represent finite posets as subwords of finite words in categories, and characterizes the monic categories that admit this representation.

This paper compares and analyzes contribution policies of six open-source organizations towards governing AI-driven incidents in their projects, deriving a six-dimensional taxonomy and identifying gap…

The paper introduces an outer-loop AI agent that autonomously redesigns LLM policy-synthesis pipelines for multi-agent social dilemmas, demonstrating that the optimal pipeline structure depends critic…

The paper proves that any voting rule based solely on wallet balance, including anti-plutocratic mechanisms like Quadratic Voting, is fundamentally vulnerable to Sybil attacks on permissionless blockc…

This paper analyzes Bregman ADMM for nonconvex linearly constrained problems under two-sided relative smoothness, showing convergence to strict saddle points and almost-sure second-order stationarity.

This paper introduces a welfare-centric framework for designing institutional incentives, showing that optimizing for total social welfare often requires different incentive levels than those optimize…

AI agents using persuasive framing increased cooperation in small groups but effects were short-lived, while antisocial framing had larger and more persistent negative effects.

The paper proposes FERMI, a method that significantly improves membership inference attacks against tabular diffusion models by leveraging auxiliary relational information available during training, e…