3 citations · 3 across the 1 of their papers we have counts for
2 papers
cs.MA2026
Multi-Agent Debate for Explainable Trading: Reasoning, Consensus, and Performance in Simulated Markets
Juli Huang, Alanood Alrassan, Deveen Harischandra +3
Large language models (LLMs) are increasingly used for financial decision-making, yet it remains unclear whether improvements in reasoning quality translate into better economic ou…
cs.AI2026★ 3 cited
CausalT5k: Diagnosing Refusal and Failure Modes in Trustworthy Causal Reasoning Across Causal Rungs
Longling Geng, Andy Ouyang, Theodore Wu +10
Large language models increasingly produce fluent causal explanations, yet they often fail in ways aggregate accuracy cannot diagnose: confusing association with intervention, aban…