Buchumschlag

Building Decision Making Models Through Language Model Regime

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Zhang, Yu, Liu, Haoxiang, Jiang, Feijun, Luo, Weihua, Zhang, Kaifu
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Computation and Language Artificial Intelligence Machine Learning
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees
von: Chen, Sijia, et al.
Veröffentlicht: (2024)

Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting
von: Chen, Wei, et al.
Veröffentlicht: (2025)

Geometry of Decision Making in Language Models
von: Joshi, Abhinav, et al.
Veröffentlicht: (2025)

Ovis: Structural Embedding Alignment for Multimodal Large Language Model
von: Lu, Shiyin, et al.
Veröffentlicht: (2024)

DeLLMa: Decision Making Under Uncertainty with Large Language Models
von: Liu, Ollie, et al.
Veröffentlicht: (2024)

Marco-o1 v2: Towards Widening The Distillation Bottleneck for Reasoning Models
von: Yin, Huifeng, et al.
Veröffentlicht: (2025)

PMMT: Preference Alignment in Multilingual Machine Translation via LLM Distillation
von: Sun, Shuqiao, et al.
Veröffentlicht: (2024)

Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback
von: Zheng, Qinqing, et al.
Veröffentlicht: (2024)

Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models
von: Yan, Xue, et al.
Veröffentlicht: (2023)

CliBench: A Multifaceted and Multigranular Evaluation of Large Language Models for Clinical Decision Making
von: Ma, Mingyu Derek, et al.
Veröffentlicht: (2024)

Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models
von: Shukla, Divyaksh, et al.
Veröffentlicht: (2026)

Reasoning is Periodicity? Improving Large Language Models Through Effective Periodicity Modeling
von: Dong, Yihong, et al.
Veröffentlicht: (2025)

Optimizing Temperature for Language Models with Multi-Sample Inference
von: Du, Weihua, et al.
Veröffentlicht: (2025)

Wings: Learning Multimodal LLMs without Text-only Forgetting
von: Zhang, Yi-Kai, et al.
Veröffentlicht: (2024)

Forward-Backward Reasoning in Large Language Models for Mathematical Verification
von: Jiang, Weisen, et al.
Veröffentlicht: (2023)

Do Language Models Have Bayesian Brains? Distinguishing Stochastic and Deterministic Decision Patterns within Large Language Models
von: Cui, Andrea Yaoyun, et al.
Veröffentlicht: (2025)

InvestAlign: Overcoming Data Scarcity in Aligning Large Language Models with Investor Decision-Making Processes under Herd Behavior
von: Wang, Huisheng, et al.
Veröffentlicht: (2025)

Learn To be Efficient: Build Structured Sparsity in Large Language Models
von: Zheng, Haizhong, et al.
Veröffentlicht: (2024)

Language Agents for Hypothesis-driven Clinical Decision Making with Reinforcement Learning
von: Bani-Harouni, David, et al.
Veröffentlicht: (2025)

Pre-trained Language Models Improve the Few-shot Prompt Ability of Decision Transformer
von: Yang, Yu, et al.
Veröffentlicht: (2024)

The Shape of Wisdom: Decision Trajectories in Language Models
von: Rana, Shailesh
Veröffentlicht: (2026)

BEFT: Bias-Efficient Fine-Tuning of Language Models in Low-Data Regimes
von: Huang, Baichuan, et al.
Veröffentlicht: (2025)

Efficient Non-Parametric Uncertainty Quantification for Black-Box Large Language Models and Decision Planning
von: Tsai, Yao-Hung Hubert, et al.
Veröffentlicht: (2024)

Language Agents as Digital Representatives in Collective Decision-Making
von: Jarrett, Daniel, et al.
Veröffentlicht: (2025)

Does Training on Synthetic Data Make Models Less Robust?
von: Zhang, Lingze, et al.
Veröffentlicht: (2025)

Fine-tuning Language Models with Generative Adversarial Reward Modelling
von: Yu, Zhang Ze, et al.
Veröffentlicht: (2023)

LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation
von: Zhang, Jiaxing, et al.
Veröffentlicht: (2024)

Consistent Joint Decision-Making with Heterogeneous Learning Models
von: Faghihi, Hossein Rajaby, et al.
Veröffentlicht: (2024)

Be My Eyes: Extending Large Language Models to New Modalities Through Multi-Agent Collaboration
von: Huang, James Y., et al.
Veröffentlicht: (2025)

Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making
von: Hsu, Aliyah R., et al.
Veröffentlicht: (2023)

RLHF Workflow: From Reward Modeling to Online RLHF
von: Dong, Hanze, et al.
Veröffentlicht: (2024)

Building Interpretable Models for Moral Decision-Making
von: Goel, Mayank, et al.
Veröffentlicht: (2026)

RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models
von: Chen, Shuhao, et al.
Veröffentlicht: (2024)

Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?
von: Jeong, Daniel P., et al.
Veröffentlicht: (2024)

Atlas-Alignment: Making Interpretability Transferable Across Language Models
von: Puri, Bruno, et al.
Veröffentlicht: (2025)

Multimodal Tabular Reasoning with Privileged Structured Information
von: Jiang, Jun-Peng, et al.
Veröffentlicht: (2025)

Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making
von: Li, Manling, et al.
Veröffentlicht: (2024)

Probing the Decision Boundaries of In-context Learning in Large Language Models
von: Zhao, Siyan, et al.
Veröffentlicht: (2024)

Explaining Large Language Models Decisions Using Shapley Values
von: Mohammadi, Behnam
Veröffentlicht: (2024)

Configurable Foundation Models: Building LLMs from a Modular Perspective
von: Xiao, Chaojun, et al.
Veröffentlicht: (2024)