Image de couverture de livre

GreedLlama: Performance of Financial Value-Aligned Large Language Models in Moral Reasoning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yu, Jeffy, Huber, Maximilian, Tang, Kevin
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language Artificial Intelligence Computers and Society Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A Moral Imperative: The Need for Continual Superalignment of Large Language Models
par: Puthumanaillam, Gokul, et autres
Publié: (2024)

Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments
par: Zhou, Han, et autres
Publié: (2024)

Unintended Harms of Value-Aligned LLMs: Psychological and Empirical Insights
par: Choi, Sooyung, et autres
Publié: (2025)

Does Cross-Cultural Alignment Change the Commonsense Morality of Language Models?
par: Jinnai, Yuu
Publié: (2024)

Emissions and Performance Trade-off Between Small and Large Language Models
par: Garg, Anandita, et autres
Publié: (2025)

Values in the Wild: Discovering and Analyzing Values in Real-World Language Model Interactions
par: Huang, Saffron, et autres
Publié: (2025)

Predicting Learning Performance with Large Language Models: A Study in Adult Literacy
par: Zhang, Liang, et autres
Publié: (2024)

MoReBench: Evaluating Procedural and Pluralistic Moral Reasoning in Language Models, More than Outcomes
par: Chiu, Yu Ying, et autres
Publié: (2025)

Assessing the Emergent Symbolic Reasoning Abilities of Llama Large Language Models
par: Petruzzellis, Flavio, et autres
Publié: (2024)

Lugha-Llama: Adapting Large Language Models for African Languages
par: Buzaaba, Happy, et autres
Publié: (2025)

Deliberative Alignment: Reasoning Enables Safer Language Models
par: Guan, Melody Y., et autres
Publié: (2024)

Llama-Nemotron: Efficient Reasoning Models
par: Bercovich, Akhiad, et autres
Publié: (2025)

Bias and Fairness in Large Language Models: A Survey
par: Gallegos, Isabel O., et autres
Publié: (2023)

DualAlign: Generating Clinically Grounded Synthetic Data
par: Li, Rumeng, et autres
Publié: (2025)

Correlated Errors in Large Language Models
par: Kim, Elliot, et autres
Publié: (2025)

Hypothesis Generation with Large Language Models
par: Zhou, Yangqiaoyu, et autres
Publié: (2024)

Large Language Models are Geographically Biased
par: Manvi, Rohin, et autres
Publié: (2024)

Psychological Counseling Ability of Large Language Models
par: Peng, Fangyu, et autres
Publié: (2025)

Assessing Large Language Models on Climate Information
par: Bulian, Jannis, et autres
Publié: (2023)

RedTopic: Toward Topic-Diverse Red Teaming of Large Language Models
par: Ding, Jiale, et autres
Publié: (2025)

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes
par: Gallegos, Isabel O., et autres
Publié: (2024)

A Taxonomy of Stereotype Content in Large Language Models
par: Nicolas, Gandalf, et autres
Publié: (2024)

Transforming Agency. On the mode of existence of Large Language Models
par: Barandiaran, Xabier E., et autres
Publié: (2024)

LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models
par: Faiz, Ahmad, et autres
Publié: (2023)

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models
par: Zhang, Yue, et autres
Publié: (2023)

ResumeAtlas: Revisiting Resume Classification with Large-Scale Datasets and Large Language Models
par: Heakl, Ahmed, et autres
Publié: (2024)

Foundational Challenges in Assuring Alignment and Safety of Large Language Models
par: Anwar, Usman, et autres
Publié: (2024)

Exploring Accuracy-Fairness Trade-off in Large Language Models
par: Zhang, Qingquan, et autres
Publié: (2024)

Are Large Language Models Chameleons? An Attempt to Simulate Social Surveys
par: Geng, Mingmeng, et autres
Publié: (2024)

Towards Large Language Models that Benefit for All: Benchmarking Group Fairness in Reward Models
par: Song, Kefan, et autres
Publié: (2025)

REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models
par: Ebrahimi, Sana, et autres
Publié: (2024)

Reward Models Inherit Value Biases from Pretraining
par: Christian, Brian, et autres
Publié: (2026)

SimBench: Benchmarking the Ability of Large Language Models to Simulate Human Behaviors
par: Hu, Tiancheng, et autres
Publié: (2025)

SUV: Scalable Large Language Model Copyright Compliance with Regularized Selective Unlearning
par: Xu, Tianyang, et autres
Publié: (2025)

What's in a Name? Auditing Large Language Models for Race and Gender Bias
par: Salinas, Alejandro, et autres
Publié: (2024)

Large Language Models Predict Functional Outcomes after Acute Ischemic Stroke
par: Kapoor, Anjali K., et autres
Publié: (2026)

Large Language Models Assume People are More Rational than We Really are
par: Liu, Ryan, et autres
Publié: (2024)

AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs
par: Ebrahimi, Sana, et autres
Publié: (2024)

Inducing Human-like Biases in Moral Reasoning Language Models
par: Karpov, Artem, et autres
Publié: (2024)

Beyond Labels: Aligning Large Language Models with Human-like Reasoning
par: Kabir, Muhammad Rafsan, et autres
Publié: (2024)