ReAct

“In our initial experiments with ReAct for planning, we found that the system is overly dependent on the syntactic similarity of the example prompt and the query and is extremely brittle to minor perturbations to the input prompt.”

“agent behavior is typically static at inference time: the model follows a fixed prompt-guided policy, while feedback gathered during deployment is not used to systematically improve future decisions”

“However, the REACT approach does not tackle efficiency in the second stage, relation modeling.”

“we demonstrate that CoT and its reasoning variants (e.g., ToT, ReAct) consistently underperform direct answering by a significant margin”

“The dominant approach for orchestrating tool usage relies on reactive, step-by-step reasoning frameworks like ReAct, often augmented by self-reflection techniques. However, this paradigm suffers from inherent local optimization traps due to its incremental decision-making process. While potentially effective for simple queries, its reactive nature often falters on complex tasks.”