Cover Image

Can large language models explore in-context?

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Krishnamurthy, Akshay, Harris, Keegan, Foster, Dylan J., Zhang, Cyril, Slivkins, Aleksandrs
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

Should You Use Your Large Language Model to Explore or Exploit?
by: Harris, Keegan, et al.
Published: (2025)

Self-Improvement in Language Models: The Sharpening Mechanism
by: Huang, Audrey, et al.
Published: (2024)

Introduction to Multi-Armed Bandits
by: Slivkins, Aleksandrs
Published: (2019)

Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF
by: Xie, Tengyang, et al.
Published: (2024)

Correcting the Mythos of KL-Regularization: Direct Alignment without Overoptimization via Chi-Squared Preference Optimization
by: Huang, Audrey, et al.
Published: (2024)

Inducing anxiety in large language models can induce bias
by: Coda-Forno, Julian, et al.
Published: (2023)

Multimodal large language model for wheat breeding: a new exploration of smart breeding
by: Yang, Guofeng, et al.
Published: (2024)

Reject, Resample, Repeat: Understanding Parallel Reasoning in Language Model Inference
by: Golowich, Noah, et al.
Published: (2026)

Representation in large language models
by: Yetman, Cameron
Published: (2025)

The Coverage Principle: How Pre-Training Enables Post-Training
by: Chen, Fan, et al.
Published: (2025)

A dataset and benchmark for hospital course summarization with adapted large language models
by: Aali, Asad, et al.
Published: (2024)

Algorithmic Persuasion Through Simulation
by: Harris, Keegan, et al.
Published: (2023)

Alignment faking in large language models
by: Greenblatt, Ryan, et al.
Published: (2024)

Can a large language model be a gaslighter?
by: Li, Wei, et al.
Published: (2024)

Long-form factuality in large language models
by: Wei, Jerry, et al.
Published: (2024)

AI-AI Bias: large language models favor communications generated by large language models
by: Laurito, Walter, et al.
Published: (2024)

Can ChatGPT Learn My Life From a Week of First-Person Video?
by: Harris, Keegan
Published: (2025)

Representation-Based Exploration for Language Models: From Test-Time to Post-Training
by: Tuyls, Jens, et al.
Published: (2025)

Post-training makes large language models less human-like
by: Binz, Marcel, et al.
Published: (2026)

On the generalization of language models from in-context learning and finetuning: a controlled study
by: Lampinen, Andrew K., et al.
Published: (2025)

Can large language models replace humans in the systematic review process? Evaluating GPT-4's efficacy in screening and extracting data from peer-reviewed and grey literature in multiple languages
by: Khraisha, Qusai, et al.
Published: (2023)

A Study on the Calibration of In-context Learning
by: Zhang, Hanlin, et al.
Published: (2023)

CogBench: a large language model walks into a psychology lab
by: Coda-Forno, Julian, et al.
Published: (2024)

Safety and accuracy follow different scaling laws in clinical large language models
by: Wind, Sebastian, et al.
Published: (2026)

Benchmarking large language models for biomedical natural language processing applications and recommendations
by: Chen, Qingyu, et al.
Published: (2023)

Multi-step retrieval and reasoning improves radiology question answering with large language models
by: Wind, Sebastian, et al.
Published: (2025)

SteuerLLM: Local specialized large language model for German tax law analysis
by: Wind, Sebastian, et al.
Published: (2026)

Mathematics with large language models as provers and verifiers
by: Duc, Hieu Le, et al.
Published: (2025)

Exploration and Persuasion
by: Slivkins, Aleksandrs
Published: (2024)

Physical models realizing the transformer architecture of large language models
by: Chen, Zeqian
Published: (2025)

Is a Good Foundation Necessary for Efficient Reinforcement Learning? The Computational Role of the Base Model in Exploration
by: Foster, Dylan J., et al.
Published: (2025)

Zero-shot data citation function classification using transformer-based large language models (LLMs)
by: Byers, Neil, et al.
Published: (2025)

An artificial intelligence framework for end-to-end rare disease phenotyping from clinical notes using large language models
by: Shyr, Cathy, et al.
Published: (2026)

The opportunities and risks of large language models in mental health
by: Lawrence, Hannah R., et al.
Published: (2024)

Can social media provide early warning of retraction? Evidence from critical tweets identified by human annotation and large language models
by: Zheng, Er-Te, et al.
Published: (2024)

A general tensor-structured compression scheme for efficient large language models
by: Lu, Ying, et al.
Published: (2026)

The language of time: a language model perspective on time-series foundation models
by: Xie, Yi, et al.
Published: (2025)

Enriching language models with graph-based context information to better understand textual data
by: Roethel, Albert, et al.
Published: (2023)

Block removal for large language models through constrained binary optimization
by: Jansen, David, et al.
Published: (2026)

Extracting effective solutions hidden in large language models via generated comprehensive specialists: case studies in developing electronic devices
by: Tomita, Hikari, et al.
Published: (2024)