From the 1 of 14 linked papers with an AI index.
14 papers
Quantifying Sub-Optimality in Routing for Automated Market Makers
Weiye Xi, Ciamac C. Moallemi
We provide a large-scale empirical audit of DEX routing using 2.98 million WETH-USDC swaps on Ethereum. Comparing realized routes with optimized benchmarks, we measure an average s…
Uniform-Loss Automated Market Making for Prediction Markets
Ciamac C. Moallemi, Dan Robinson, Brian Zhu
Automated market makers (AMMs) for prediction markets descend from market scoring rules, where a mechanism operator subsidizes a market to aggregate beliefs about uncertain events.…
OS-Pruner: Pruning Chains-of-Thought of Reasoning Models via Optimal Stopping
Mohammed Ehab, Aymane El Gadarri, Vivek F. Farias +2
The paper proposes OS-Pruner, a lightweight framework that treats chain-of-thought reasoning in large language models as an optimal stopping problem, allowing the model to stop gen…
Volatility in Prediction Markets: A Structural Approach
Weiye Xi, Ciamac C. Moallemi, Mallesh Pai +1
Forward-looking volatility forecasts are central inputs to derivatives pricing, market making, risk management, and volatility-linked trading strategies, with ARCH and GARCH models…
Latency Advantages in Common-Value Auctions
Ciamac C. Moallemi, Mallesh M. Pai, Dan Robinson
In financial applications, latency advantages -- the ability to make decisions later than others, even without the ability to see what others have done -- can provide individual pa…
Outbidding and Outbluffing Elite Humans: Mastering Liar's Poker via Self-Play and Reinforcement Learning
Richard Dewey, Janos Botyanszki, Ciamac C. Moallemi +1
AI researchers have long focused on poker-like games as a testbed for environments characterized by multi-player dynamics, imperfect information, and reasoning under uncertainty. W…