Copertina

O3D: Offline Data-driven Discovery and Distillation for Sequential Decision-Making with Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Xiao, Yuchen, Sun, Yanchao, Xu, Mengda, Madhushani, Udari, Vann, Jared, Garg, Deepeka, Ganesh, Sumitra
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Artificial Intelligence Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

In-Context Learning with Topological Information for Knowledge Graph Completion
di: Sehwag, Udari Madhushani, et al.
Pubblicazione: (2024)

A Heterogeneous Agent Model of Mortgage Servicing: An Income-based Relief Analysis
di: Garg, Deepeka, et al.
Pubblicazione: (2024)

Generating Structured Plan Representation of Procedures with LLMs
di: Garg, Deepeka, et al.
Pubblicazione: (2025)

GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-time Alignment
di: Xu, Yuancheng, et al.
Pubblicazione: (2024)

PADME: Procedure Aware DynaMic Execution
di: Garg, Deepeka, et al.
Pubblicazione: (2025)

Continual Learning of Domain Knowledge from Human Feedback in Text-to-SQL
di: Cook, Thomas, et al.
Pubblicazione: (2025)

Simulate and Optimise: A two-layer mortgage simulator for designing novel mortgage assistance products
di: Ardon, Leo, et al.
Pubblicazione: (2024)

AgentCrypt: Advancing Privacy and (Secure) Computation in AI Agent Collaboration
di: Karthikeyan, Harish, et al.
Pubblicazione: (2025)

Downside Risk-Aware Equilibria for Strategic Decision-Making
di: Slumbers, Oliver, et al.
Pubblicazione: (2025)

DLM: Unified Decision Language Models for Offline Multi-Agent Sequential Decision Making
di: Zhang, Zhuohui, et al.
Pubblicazione: (2026)

Collab: Controlled Decoding using Mixture of Agents for LLM Alignment
di: Chakraborty, Souradip, et al.
Pubblicazione: (2025)

PropensityBench: Evaluating Latent Safety Risks in Large Language Models via an Agentic Approach
di: Sehwag, Udari Madhushani, et al.
Pubblicazione: (2025)

Efficient Sequential Decision Making with Large Language Models
di: Chen, Dingyang, et al.
Pubblicazione: (2024)

AdvBDGen: Adversarially Fortified Prompt-Specific Fuzzy Backdoor Generator Against LLM Alignment
di: Pathmanathan, Pankayaraj, et al.
Pubblicazione: (2024)

Can LLMs be Scammed? A Baseline Measurement Study
di: Sehwag, Udari Madhushani, et al.
Pubblicazione: (2024)

Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate
di: Xu, Yuancheng, et al.
Pubblicazione: (2023)

What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM Performance
di: Watson, William, et al.
Pubblicazione: (2026)

On the Modeling Capabilities of Large Language Models for Sequential Decision Making
di: Klissarov, Martin, et al.
Pubblicazione: (2024)

Learning and Calibrating Heterogeneous Bounded Rational Market Behaviour with Multi-Agent Reinforcement Learning
di: Evans, Benjamin Patrick, et al.
Pubblicazione: (2024)

Distribution Corrected Offline Data Distillation for Large Language Models
di: Zhang, Yumeng, et al.
Pubblicazione: (2026)

Reinforced Language Models for Sequential Decision Making
di: Dilkes, Jim, et al.
Pubblicazione: (2025)

ASPI: Seeking Ambiguity Clarification Amplifies Prompt Injection Vulnerability in LLM Agents
di: Sehwag, Udari Madhushani, et al.
Pubblicazione: (2026)

UNO Arena for Evaluating Sequential Decision-Making Capability of Large Language Models
di: Qin, Zhanyue, et al.
Pubblicazione: (2024)

Rethinking Neural Network Learning Rates: A Stackelberg Perspective
di: Zeng, Sihan, et al.
Pubblicazione: (2026)

Scalable Representation Learning for Multimodal Tabular Transactions
di: Raman, Natraj, et al.
Pubblicazione: (2024)

On The Statistical Complexity of Offline Decision-Making
di: Nguyen-Tang, Thanh, et al.
Pubblicazione: (2025)

Performance Guarantees for Data-Driven Sequential Decision-Making
di: Li, Bowen, et al.
Pubblicazione: (2026)

Prune 'n Predict: Optimizing LLM Decision-making with Conformal Prediction
di: Vishwakarma, Harit, et al.
Pubblicazione: (2024)

On the Decision-Making Abilities in Role-Playing using Large Language Models
di: Shen, Chenglei, et al.
Pubblicazione: (2024)

Asymmetric Decision-Making in Online Knowledge Distillation:Unifying Consensus and Divergence
di: Chen, Zhaowei, et al.
Pubblicazione: (2025)

Wait-Less Offline Tuning and Re-solving for Online Decision Making
di: Sun, Jingruo, et al.
Pubblicazione: (2024)

Self-Data Distillation for Recovering Quality in Pruned Large Language Models
di: Thangarasa, Vithursan, et al.
Pubblicazione: (2024)

Inference of Utilities and Time Preference in Sequential Decision-Making
di: Cao, Haoyang, et al.
Pubblicazione: (2024)

Entropy-informed Decoding: Adaptive Information-Driven Branching
di: Evans, Benjamin Patrick, et al.
Pubblicazione: (2026)

Modelling bounded rational decision-making through Wasserstein constraints
di: Evans, Benjamin Patrick, et al.
Pubblicazione: (2025)

SLMRec: Distilling Large Language Models into Small for Sequential Recommendation
di: Xu, Wujiang, et al.
Pubblicazione: (2024)

A Fast Convergence Theory for Offline Decision Making
di: Mao, Chenjie, et al.
Pubblicazione: (2024)

Unifying and Optimizing Data Values for Selection via Sequential Decision-Making
di: Chi, Hongliang, et al.
Pubblicazione: (2025)

Curiosity-Driven Testing for Sequential Decision-Making Process
di: He, Junda, et al.
Pubblicazione: (2025)

Decision Making under Costly Sequential Information Acquisition: the Paradigm of Reversible and Irreversible Decisions
di: Xu, Renyuan, et al.
Pubblicazione: (2023)