Herculean benchmark shows frontier agents handle trading and market insights better than hedging and auditing workflows that demand state consistency and structured verification.
Open-finllms: Open multimodal large language models for financial applications
4 Pith papers cite this work. Polarity classification is still indexing.
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HypCBM reformulates concept activations as geometric containment in hyperbolic space to produce sparse, hierarchy-aware signals that match Euclidean models trained on 20 times more data.
FinAcumen introduces selective experience memory that distills prior trajectories into reusable strategies and cautionary rules to improve tool-augmented multimodal financial reasoning.
Reproducibility audit of 30 LLM trading papers shows execution assumptions under-reported relative to agent architectures, illustrated by a 10-equity example where frictions compress returns.
citing papers explorer
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Herculean: An Agentic Benchmark for Financial Intelligence
Herculean benchmark shows frontier agents handle trading and market insights better than hedging and auditing workflows that demand state consistency and structured verification.
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Hyperbolic Concept Bottleneck Models
HypCBM reformulates concept activations as geometric containment in hyperbolic space to produce sparse, hierarchy-aware signals that match Euclidean models trained on 20 times more data.
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FinAcumen: Financial Multimodal Reasoning via Self-Evolving Experience Memory Harness
FinAcumen introduces selective experience memory that distills prior trajectories into reusable strategies and cautionary rules to improve tool-augmented multimodal financial reasoning.
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Beyond Agent Architecture: Execution Assumptions and Reproducibility in LLM-Based Trading Systems
Reproducibility audit of 30 LLM trading papers shows execution assumptions under-reported relative to agent architectures, illustrated by a 10-equity example where frictions compress returns.