LLM-based compression of financial source material can alter downstream investment decisions via decontextualization and model dependency, addressed by an agentic auditing approach that checks multiple compressions against the original.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Conf-Gen adapts conformal risk control to generative tasks by relaxing assumptions, unifying prior CP work on LLMs and extending guarantees to image generators, conversational AI, and AI agent correctness.
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When Summaries Distort Decisions: Information Fidelity in LLM-Compressed Financial Analysis
LLM-based compression of financial source material can alter downstream investment decisions via decontextualization and model dependency, addressed by an agentic auditing approach that checks multiple compressions against the original.
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Conf-Gen: Conformal Uncertainty Quantification for Generative Models
Conf-Gen adapts conformal risk control to generative tasks by relaxing assumptions, unifying prior CP work on LLMs and extending guarantees to image generators, conversational AI, and AI agent correctness.