Nlp + Training + Finance

10.0

Develop a framework for probing internal 'uncertainty' in LLMs. Such a tool helps identify the boundary between model knowledge and hallucination by forcing the model to explicitly admit ignorance.

emergingimplementation gap

trainingnlpembeddingstransformershistoryagentsfinance

Signals (4)

arXiv9h ago

When Missing Becomes Structure: Intent-Preserving Policy Completion from Financial KOL Discourse

arXiv1d ago

Text-as-Signal: Quantitative Semantic Scoring with Embeddings, Logprobs, and Noise Reduction

arXiv9h ago

Internal Knowledge Without External Expression: Probing the Generalization Boundary of a Classical Chinese Language Model

arXiv1d ago

Nlp + Training + Finance

Signals (4)

When Missing Becomes Structure: Intent-Preserving Policy Completion from Financial KOL Discourse

Text-as-Signal: Quantitative Semantic Scoring with Embeddings, Logprobs, and Noise Reduction

Internal Knowledge Without External Expression: Probing the Generalization Boundary of a Classical Chinese Language Model

Curation of a Palaeohispanic Dataset for Machine Learning

Nlp + Training + Finance

Signals (4)

When Missing Becomes Structure: Intent-Preserving Policy Completion from Financial KOL Discourse

Text-as-Signal: Quantitative Semantic Scoring with Embeddings, Logprobs, and Noise Reduction

Internal Knowledge Without External Expression: Probing the Generalization Boundary of a Classical Chinese Language Model

Curation of a Palaeohispanic Dataset for Machine Learning