Cover Image

Jump Starting Bandits with LLM-Generated Prior Knowledge

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Alamdari, Parand A., Cao, Yanshuai, Wilson, Kevin H.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Jump Start or False Start? A Theoretical and Empirical Evaluation of LLM-initialized Bandits
by: Bayley, Adam, et al.
Published: (2026)

Policy Aggregation
by: Alamdari, Parand A., et al.
Published: (2024)

Pluralistic Alignment Over Time
by: Klassen, Toryn Q., et al.
Published: (2024)

Formal Methods Meet LLMs: Auditing, Monitoring, and Intervention for Compliance of Advanced AI Systems
by: Alamdari, Parand A., et al.
Published: (2026)

Aligned at the Start: Conceptual Groupings in LLM Embeddings
by: Khatir, Mehrdad, et al.
Published: (2024)

Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making
by: Alamdari, Parand A., et al.
Published: (2023)

Cold-Start Personalization via Training-Free Priors from Structured World Models
by: Bose, Avinandan, et al.
Published: (2026)

Ensemble Distillation for Unsupervised Constituency Parsing
by: Shayegh, Behzad, et al.
Published: (2023)

Being Considerate as a Pathway Towards Pluralistic Alignment for Agentic AI
by: Alamdari, Parand A., et al.
Published: (2024)

Beyond Numeric Rewards: In-Context Dueling Bandits with LLM Agents
by: Xia, Fanzeng, et al.
Published: (2024)

When Greedy Wins: Emergent Exploitation Bias in Meta-Bandit LLM Training
by: Chen, Sanxing, et al.
Published: (2025)

TruthFlow: Truthful LLM Generation via Representation Flow Correction
by: Wang, Hanyu, et al.
Published: (2025)

Online Personalizing White-box LLMs Generation with Neural Bandits
by: Chen, Zekai, et al.
Published: (2024)

DOGe: Defensive Output Generation for LLM Protection Against Knowledge Distillation
by: Li, Pingzhi, et al.
Published: (2025)

CodingTeachLLM: Empowering LLM's Coding Ability via AST Prior Knowledge
by: Chen, Zhangquan, et al.
Published: (2024)

One Jump Is All You Need: Short-Cutting Transformers for Early Exit Prediction with One Jump to Fit All Exit Levels
by: Seshadri, Amrit Diggavi
Published: (2025)

LLMs Are In-Context Bandit Reinforcement Learners
by: Monea, Giovanni, et al.
Published: (2024)

Generating Multiple-Choice Knowledge Questions with Interpretable Difficulty Estimation using Knowledge Graphs and Large Language Models
by: Şakiroğlu, Mehmet Can, et al.
Published: (2026)

JumpLoRA: Sparse Adapters for Continual Learning in Large Language Models
by: Dragomir, Alexandra, et al.
Published: (2026)

AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement
by: Singh, Shivam, et al.
Published: (2025)

Logical Structure as Knowledge: Enhancing LLM Reasoning via Structured Logical Knowledge Density Estimation
by: Bi, Zhen, et al.
Published: (2025)

Enhancing LLM Reliability via Explicit Knowledge Boundary Modeling
by: Zheng, Hang, et al.
Published: (2025)

Assessing LLM Reasoning Steps via Principal Knowledge Grounding
by: Hwang, Hyeon, et al.
Published: (2025)

It's Not Always Sycophancy: Measuring LLM Conformity as a Function of Epistemic Uncertainty
by: Guo, Kevin H., et al.
Published: (2026)

No One Size Fits All: QueryBandits for Hallucination Mitigation
by: Cho, Nicole, et al.
Published: (2026)

Never Start from Scratch: Expediting On-Device LLM Personalization via Explainable Model Selection
by: Wang, Haoming, et al.
Published: (2025)

Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction
by: Zhang, Bowen, et al.
Published: (2024)

LLM-NEO: Parameter Efficient Knowledge Distillation for Large Language Models
by: Yang, Runming, et al.
Published: (2024)

LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models
by: Veldanda, Akshaj Kumar, et al.
Published: (2024)

Delta Knowledge Distillation for Large Language Models
by: Cao, Yihan, et al.
Published: (2025)

On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots
by: Herlihy, Christine, et al.
Published: (2024)

Stop Listening to Me! How Multi-turn Conversations Can Degrade LLM Reliability
by: Guo, Kevin H., et al.
Published: (2026)

Multilinguality in LLM-Designed Reward Functions for Restless Bandits: Effects on Task Performance and Fairness
by: Parthasarathy, Ambreesh, et al.
Published: (2025)

QueryBandits for Hallucination Mitigation: Exploiting Semantic Features for No-Regret Rewriting
by: Cho, Nicole, et al.
Published: (2025)

Strategic Scaling of Test-Time Compute: A Bandit Learning Approach
by: Zuo, Bowen, et al.
Published: (2025)

FactorLLM: Factorizing Knowledge via Mixture of Experts for Large Language Models
by: Zhao, Zhongyu, et al.
Published: (2024)

LinkQ: An LLM-Assisted Visual Interface for Knowledge Graph Question-Answering
by: Li, Harry, et al.
Published: (2024)

GraphEval: A Knowledge-Graph Based LLM Hallucination Evaluation Framework
by: Sansford, Hannah, et al.
Published: (2024)

MeKi: Memory-based Expert Knowledge Injection for Efficient LLM Scaling
by: Ding, Ning, et al.
Published: (2026)

CORE-KG: An LLM-Driven Knowledge Graph Construction Framework for Human Smuggling Networks
by: Meher, Dipak, et al.
Published: (2025)