Cover Image

When Dimensionality Hurts: The Role of LLM Embedding Compression for Noisy Regression Tasks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Drinkall, Felix, Pierrehumbert, Janet B., Zohren, Stefan
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Computational Engineering, Finance, and Science Machine Learning Computational Finance
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Time Machine GPT
by: Drinkall, Felix, et al.
Published: (2024)

Stories that (are) Move(d by) Markets: A Causal Exploration of Market Shocks and Semantic Shifts across Different Partisan Groups
by: Drinkall, Felix, et al.
Published: (2025)

Forecasting Credit Ratings: A Case Study where Traditional Methods Outperform Generative LLMs
by: Drinkall, Felix, et al.
Published: (2024)

SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains
by: Purbey, Jebish, et al.
Published: (2024)

SusGen-GPT: A Data-Centric LLM for Financial NLP and Sustainability Report Generation
by: Wu, Qilong, et al.
Published: (2024)

EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements
by: Sugiura, Issa, et al.
Published: (2025)

Realised Volatility Forecasting: Machine Learning via Financial Word Embedding
by: Rahimikia, Eghbal, et al.
Published: (2021)

LOB-Bench: Benchmarking Generative AI for Finance -- an Application to Limit Order Book Data
by: Nagy, Peer, et al.
Published: (2025)

Predicting Liquidity-Aware Bond Yields using Causal GANs and Deep Reinforcement Learning with LLM Evaluation
by: Walia, Jaskaran Singh, et al.
Published: (2025)

Actors, Frames and Arguments: A Multi-Decade Computational Analysis of Climate Discourse in Financial News using Large Language Models
by: Su, Ruiran, et al.
Published: (2026)

CreditARF: A Framework for Corporate Credit Rating with Annual Report and Financial Feature Integration
by: Shi, Yumeng, et al.
Published: (2025)

Decoding RWA Tokenized U.S. Treasuries: Functional Dissection and Address Role Inference
by: Luo, Junliang, et al.
Published: (2025)

MASCA: LLM based-Multi Agents System for Credit Assessment
by: Jajoo, Gautam, et al.
Published: (2025)

Assessing Consistency and Reproducibility in the Outputs of Large Language Models: Evidence Across Diverse Finance and Accounting Tasks
by: Wang, Julian Junyan, et al.
Published: (2025)

Integrating Domain Knowledge for Financial QA: A Multi-Retriever RAG Approach with LLMs
by: Zhang, Yukun, et al.
Published: (2025)

CatMemo at the FinLLM Challenge Task: Fine-Tuning Large Language Models using Data Fusion in Financial Applications
by: Cao, Yupeng, et al.
Published: (2024)

PRAGMA: Revolut Foundation Model
by: Ostroukhov, Maxim, et al.
Published: (2026)

Regress, Don't Guess -- A Regression-like Loss on Number Tokens for Language Models
by: Zausinger, Jonas, et al.
Published: (2024)

Financial Wind Tunnel: A Retrieval-Augmented Market Simulator
by: Cao, Bokai, et al.
Published: (2025)

Diffusion-Augmented Reinforcement Learning for Robust Portfolio Optimization under Stress Scenarios
by: Choudhary, Himanshu, et al.
Published: (2025)

The Role of Deep Learning in Financial Asset Management: A Systematic Review
by: Reis, Pedro, et al.
Published: (2025)

Optimizing Portfolio Management and Risk Assessment in Digital Assets Using Deep Learning for Predictive Analysis
by: Cheng, Qishuo, et al.
Published: (2024)

UAMM: Price-oracle based Automated Market Maker
by: Im, Daniel Jiwoong, et al.
Published: (2023)

MLP, XGBoost, KAN, TDNN, and LSTM-GRU Hybrid RNN with Attention for SPX and NDX European Call Option Pricing
by: Ter-Avanesov, Boris, et al.
Published: (2024)

OneComp: One-Line Revolution for Generative AI Model Compression
by: Ichikawa, Yuma, et al.
Published: (2026)

HKGAI-V1: Towards Regional Sovereign Large Language Model for Hong Kong
by: Han, Sirui, et al.
Published: (2025)

PiERN: Token-Level Routing for Integrating High-Precision Computation and Reasoning
by: Xiao, Hengbo, et al.
Published: (2025)

InstructPro: Natural Language Guided Ligand-Binding Protein Design
by: Song, Zhenqiao, et al.
Published: (2025)

Studying the Soupability of Documents in State Space Models
by: Jafari, Yasaman, et al.
Published: (2025)

Real-Time Online Stock Forecasting Utilizing Integrated Quantitative and Qualitative Analysis
by: Bathini, Sai Akash, et al.
Published: (2023)

MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier
by: Yang, Zonglin, et al.
Published: (2026)

Three-Class Text Sentiment Analysis Based on LSTM
by: Qixuan, Yin
Published: (2024)

Distilled ChatGPT Topic & Sentiment Modeling with Applications in Finance
by: Gandouet, Olivier, et al.
Published: (2024)

StockBot 2.0: Vanilla LSTMs Outperform Transformer-based Forecasting for Stock Prices
by: Mohanty, Shaswat
Published: (2026)

Parameter-Efficient Instruction Tuning of Large Language Models For Extreme Financial Numeral Labelling
by: Khatuya, Subhendu, et al.
Published: (2024)

When Single Answer Is Not Enough: Rethinking Single-Step Retrosynthesis Benchmarks for LLMs
by: Zagribelnyy, Bogdan, et al.
Published: (2026)

Detection of Temporality at Discourse Level on Financial News by Combining Natural Language Processing and Machine Learning
by: García-Méndez, Silvia, et al.
Published: (2024)

Automatic detection of relevant information, predictions and forecasts in financial news through topic modelling with Latent Dirichlet Allocation
by: García-Méndez, Silvia, et al.
Published: (2024)

NumLLM: Numeric-Sensitive Large Language Model for Chinese Finance
by: Su, Huan-Yi, et al.
Published: (2024)

Diabetica: Adapting Large Language Model to Enhance Multiple Medical Tasks in Diabetes Care and Management
by: Wei, Lai, et al.
Published: (2024)