most citedLarge Language Model Adaptation for Financial Sentiment Analysis

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

Co-GRPO: Co-Optimized Group Relative Policy Optimization for Masked Diffusion Model

Renping Zhou, Zanlin Ni, Tianyi Chen +6

Recently, Masked Diffusion Models (MDMs) have shown promising potential across vision, language, and cross-modal generation. However, a notable discrepancy exists between their tra…

q-fin.ST2025

The LLM Pro Finance Suite: Multilingual Large Language Models for Financial Applications

Gaëtan Caillaut, Raheel Qader, Jingshu Liu +4

The financial industry's growing demand for advanced natural language processing (NLP) capabilities has highlighted the limitations of generalist large language models (LLMs) in ha…

cs.CL2025

Lingua Custodi's participation at the WMT 2025 Terminology shared task

Jingshu Liu, Raheel Qader, Gaëtan Caillaut +1

While BERT is an effective method for learning monolingual sentence embeddings for semantic similarity and embedding based transfer learning BERT based cross-lingual sentence embed…

cs.CL2024

Scaling Laws of Decoder-Only Models on the Multilingual Machine Translation Task

Gaëtan Caillaut, Raheel Qader, Mariam Nakhlé +2

Recent studies have showcased remarkable capabilities of decoder-only models in many NLP tasks, including translation. Yet, the machine translation field has been largely dominated…

cs.CL2024★ 2 cited

Large Language Model Adaptation for Financial Sentiment Analysis

Pau Rodriguez Inserte, Mariam Nakhlé, Raheel Qader +2

Natural language processing (NLP) has recently gained relevance within financial institutions by providing highly valuable insights into companies and markets' financial documents.…