3 papers
cs.AI2026
Analytica: Soft Propositional Reasoning for Robust and Scalable LLM-Driven Analysis
Junyan Cheng, Kyle Richardson, Peter Chin
Large language model (LLM) agents are increasingly tasked with complex real-world analysis (e.g., in financial forecasting, scientific discovery), yet their reasoning suffers from…
cs.AI2025
Language Modeling by Language Models
Junyan Cheng, Peter Clark, Kyle Richardson
Can we leverage LLMs to model the process of discovering novel language model (LM) architectures? Inspired by real research, we propose a multi-agent LLM approach that simulates th…
cs.AI2025
Empirical Asset Pricing with Large Language Model Agents
Junyan Cheng, Peter Chin
In this study, we introduce a novel asset pricing model leveraging the Large Language Model (LLM) agents, which integrates qualitative discretionary investment evaluations from LLM…