SidConArena is a new multi-phase benchmark framework formalizing a partially observable stochastic game for evaluating LLM agents in open-ended positive-sum bargaining with negotiation, converter production, and sealed-bid auctions.
Pal: Program-aided language models
3 Pith papers cite this work. Polarity classification is still indexing.
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The paper develops a four-layer AI agent architecture and the Agentic Financial Market Model linking agent parameters such as autonomy and coupling to market efficiency, liquidity, and systemic risk, with an exploratory event-study application.
A survey synthesizing recent LLM research and assessing its applicability to financial data analysis.
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AI Agents in Financial Markets: Architecture, Applications, and Systemic Implications
The paper develops a four-layer AI agent architecture and the Agentic Financial Market Model linking agent parameters such as autonomy and coupling to market efficiency, liquidity, and systemic risk, with an exploratory event-study application.