Fingal
PulseAugur coverage of Fingal — every cluster mentioning Fingal across labs, papers, and developer communities, ranked by signal.
No coverage in the last 90 days.
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Agentic RAG framework FinAgent-RAG enhances financial document QA
Researchers have developed FinAgent-RAG, a novel agentic retrieval-augmented generation framework designed for complex financial question answering. This system employs iterative retrieval-reasoning loops with self-veri…
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Fin-PRM model enhances LLM financial reasoning with specialized reward signals
Researchers have developed Fin-PRM, a specialized process reward model designed to improve financial reasoning in large language models. Unlike general-purpose models, Fin-PRM focuses on the structured and fact-sensitiv…
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New benchmarks reveal LLMs struggle with Arabic and symbolic financial reasoning
Researchers have introduced SAHM, a new benchmark designed to evaluate Arabic financial and Shari'ah-compliant reasoning capabilities in large language models. The benchmark includes over 14,000 expert-verified instance…
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TaNOS framework boosts numerical reasoning in tables, outperforming GPT-5
Researchers have developed TaNOS, a new framework designed to improve numerical reasoning in AI models when dealing with tabular data. This approach uses anonymized headers, operation sketches for structural cues, and s…