Saved in:
| Main Authors: | Rony, Sidharth, Patman, Jack |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.23057 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Interpretable Company Similarity with Sparse Autoencoders
by: Molinari, Marco, et al.
Published: (2024)
by: Molinari, Marco, et al.
Published: (2024)
Utility-inspired Reward Transformations Improve Reinforcement Learning Training of Language Models
by: Maura-Rivero, Roberto-Rafael, et al.
Published: (2025)
by: Maura-Rivero, Roberto-Rafael, et al.
Published: (2025)
Double Jeopardy and Climate Impact in the Use of Large Language Models: Socio-economic Disparities and Reduced Utility for Non-English Speakers
by: Solatorio, Aivin V., et al.
Published: (2024)
by: Solatorio, Aivin V., et al.
Published: (2024)
A Unified Framework to Classify Business Activities into International Standard Industrial Classification through Large Language Models for Circular Economy
by: Li, Xiang, et al.
Published: (2024)
by: Li, Xiang, et al.
Published: (2024)
Seeded Poisson Factorization: leveraging domain knowledge to fit topic models
by: Prostmaier, Bernd, et al.
Published: (2025)
by: Prostmaier, Bernd, et al.
Published: (2025)
Detecting and Mitigating Treatment Leakage in Text-Based Causal Inference: Distillation and Sensitivity Analysis
by: Daoud, Adel, et al.
Published: (2025)
by: Daoud, Adel, et al.
Published: (2025)
Integrating Natural Language Processing Techniques of Text Mining Into Financial System: Applications and Limitations
by: Millo, Denisa, et al.
Published: (2024)
by: Millo, Denisa, et al.
Published: (2024)
Can Machines Think Like Humans? A Behavioral Evaluation of LLM Agents in Dictator Games
by: Ma, Ji
Published: (2024)
by: Ma, Ji
Published: (2024)
Federal Reserve Communication and the COVID-19 Pandemic
by: Benchimol, Jonathan, et al.
Published: (2025)
by: Benchimol, Jonathan, et al.
Published: (2025)
Revealing economic facts: LLMs know more than they say
by: Buckmann, Marcus, et al.
Published: (2025)
by: Buckmann, Marcus, et al.
Published: (2025)
Exploring Nature: Datasets and Models for Analyzing Nature-Related Disclosures
by: Schimanski, Tobias, et al.
Published: (2023)
by: Schimanski, Tobias, et al.
Published: (2023)
Narrative Shift Detection: A Hybrid Approach of Dynamic Topic Models and Large Language Models
by: Lange, Kai-Robin, et al.
Published: (2025)
by: Lange, Kai-Robin, et al.
Published: (2025)
A Multi-Task Evaluation of LLMs' Processing of Academic Text Input
by: Li, Tianyi, et al.
Published: (2025)
by: Li, Tianyi, et al.
Published: (2025)
A Generalized Model for Multidimensional Intransitivity
by: Duan, Jiuding, et al.
Published: (2024)
by: Duan, Jiuding, et al.
Published: (2024)
Ideological Bias in LLMs' Economic Causal Reasoning
by: Lee, Donggyu, et al.
Published: (2026)
by: Lee, Donggyu, et al.
Published: (2026)
VickreyFeedback: Cost-efficient Data Construction for Reinforcement Learning from Human Feedback
by: Zhang, Guoxi, et al.
Published: (2024)
by: Zhang, Guoxi, et al.
Published: (2024)
Assessing the Heterogeneous Impact of Economy-Wide Shocks: A Machine Learning Approach Applied to Colombian Firms
by: Dueñas, Marco, et al.
Published: (2021)
by: Dueñas, Marco, et al.
Published: (2021)
STEER: Assessing the Economic Rationality of Large Language Models
by: Raman, Narun, et al.
Published: (2024)
by: Raman, Narun, et al.
Published: (2024)
Identifying economic narratives in large text corpora -- An integrated approach using Large Language Models
by: Schmidt, Tobias, et al.
Published: (2025)
by: Schmidt, Tobias, et al.
Published: (2025)
Aligning Large Language Model Agents with Rational and Moral Preferences: A Supervised Fine-Tuning Approach
by: Lu, Wei, et al.
Published: (2025)
by: Lu, Wei, et al.
Published: (2025)
Signal or Noise? Evaluating Large Language Models in Resume Screening Across Contextual Variations and Human Expert Benchmarks
by: Varshney, Aryan, et al.
Published: (2025)
by: Varshney, Aryan, et al.
Published: (2025)
BiHRNN -- Bi-Directional Hierarchical Recurrent Neural Network for Inflation Forecasting
by: Vilenko, Maya
Published: (2025)
by: Vilenko, Maya
Published: (2025)
Examining the Dynamics of Local and Transfer Passenger Share Patterns in Air Transportation
by: Zheng, Xufang, et al.
Published: (2025)
by: Zheng, Xufang, et al.
Published: (2025)
Influencer Cartels
by: Hinnosaar, Marit, et al.
Published: (2024)
by: Hinnosaar, Marit, et al.
Published: (2024)
Forecasting Imports in OECD Member Countries and Iran by Using Neural Network Algorithms of LSTM
by: Khajoui, Soheila, et al.
Published: (2024)
by: Khajoui, Soheila, et al.
Published: (2024)
AI Oversight and Human Mistakes: Evidence from Centre Court
by: Almog, David, et al.
Published: (2024)
by: Almog, David, et al.
Published: (2024)
Safety vs. Performance: How Multi-Objective Learning Reduces Barriers to Market Entry
by: Jagadeesan, Meena, et al.
Published: (2024)
by: Jagadeesan, Meena, et al.
Published: (2024)
Generative AI, Managerial Expectations, and Economic Activity
by: Jha, Manish, et al.
Published: (2024)
by: Jha, Manish, et al.
Published: (2024)
Beyond Sentiment Classification: A Generative Framework for Emotion Intensity Evaluation in Text
by: Fabozzi, Francesco A., et al.
Published: (2026)
by: Fabozzi, Francesco A., et al.
Published: (2026)
Newswire: A Large-Scale Structured Database of a Century of Historical News
by: Silcock, Emily, et al.
Published: (2024)
by: Silcock, Emily, et al.
Published: (2024)
Visualizing Public Opinion on X: A Real-Time Sentiment Dashboard Using VADER and DistilBERT
by: Reddy, Yanampally Abhiram, et al.
Published: (2025)
by: Reddy, Yanampally Abhiram, et al.
Published: (2025)
Course-Skill Atlas: A national longitudinal dataset of skills taught in U.S. higher education curricula
by: Sabet, Alireza Javadian, et al.
Published: (2024)
by: Sabet, Alireza Javadian, et al.
Published: (2024)
Machine Learning and Econometric Approaches to Fiscal Policies: Understanding Industrial Investment Dynamics in Uruguay (1974-2010)
by: Vallarino, Diego
Published: (2024)
by: Vallarino, Diego
Published: (2024)
NoLBERT: A No Lookahead(back) Foundational Language Model
by: Kakhbod, Ali, et al.
Published: (2025)
by: Kakhbod, Ali, et al.
Published: (2025)
A Survey of Reinforcement Learning For Economics
by: Rawat, Pranjal
Published: (2026)
by: Rawat, Pranjal
Published: (2026)
The Effects of Flipped Classrooms in Higher Education: A Causal Machine Learning Analysis
by: Czarnowske, Daniel, et al.
Published: (2025)
by: Czarnowske, Daniel, et al.
Published: (2025)
Delphos: A reinforcement learning framework for assisting discrete choice model specification
by: Nova, Gabriel, et al.
Published: (2025)
by: Nova, Gabriel, et al.
Published: (2025)
A Hamiltonian Higher-Order Elasticity Framework for Dynamic Diagnostics(2HOED)
by: Gildas, Ngueuleweu Tiwang
Published: (2025)
by: Gildas, Ngueuleweu Tiwang
Published: (2025)
A Comparative Study of Dynamic Programming and Reinforcement Learning in Finite Horizon Dynamic Pricing
by: Razumovskiy, Lev, et al.
Published: (2026)
by: Razumovskiy, Lev, et al.
Published: (2026)
Deep Learning in Renewable Energy Forecasting: A Cross-Dataset Evaluation of Temporal and Spatial Models
by: Sua, Lutfu, et al.
Published: (2025)
by: Sua, Lutfu, et al.
Published: (2025)
Similar Items
-
Interpretable Company Similarity with Sparse Autoencoders
by: Molinari, Marco, et al.
Published: (2024) -
Utility-inspired Reward Transformations Improve Reinforcement Learning Training of Language Models
by: Maura-Rivero, Roberto-Rafael, et al.
Published: (2025) -
Double Jeopardy and Climate Impact in the Use of Large Language Models: Socio-economic Disparities and Reduced Utility for Non-English Speakers
by: Solatorio, Aivin V., et al.
Published: (2024) -
A Unified Framework to Classify Business Activities into International Standard Industrial Classification through Large Language Models for Circular Economy
by: Li, Xiang, et al.
Published: (2024) -
Seeded Poisson Factorization: leveraging domain knowledge to fit topic models
by: Prostmaier, Bernd, et al.
Published: (2025)