:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kang, Enoch Hyunwook, Yoganarasimhan, Hema
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2511.12063
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Empirical Risk Minimization Approach for Offline Inverse RL and Dynamic Discrete Choice Model
by: Kang, Enoch H., et al.
Published: (2025)

Reasonably reasoning AI agents can avoid game-theoretic failures in zero-shot, provably
by: Kang, Enoch Hyunwook
Published: (2026)

LLM Personas as a Substitute for Field Experiments in Method Benchmarking
by: Kang, Enoch Hyunwook
Published: (2025)

Impact of AI Search Summaries on Website Traffic: Evidence from Google AI Overviews and Wikipedia
by: Khosravi, Mehrzad, et al.
Published: (2026)

Personalized Alignment Revisited: The Necessity and Sufficiency of User Diversity
by: Kang, Enoch Hyunwook
Published: (2026)

Demystifying the unreasonable effectiveness of online alignment methods
by: Kang, Enoch Hyunwook
Published: (2026)

Rectification Difficulty and Optimal Sample Allocation in LLM-Augmented Surveys
by: Ye, Zikun, et al.
Published: (2026)

A Lecture Note on Offline RL and IRL, Part II: Foundations of Inverse Reinforcement Learning and Dynamic Discrete Choice Models
by: Kang, Enoch Hyunwook
Published: (2026)

Reasoning BO: Enhancing Bayesian Optimization with Long-Context Reasoning Power of LLMs
by: Yang, Zhuo, et al.
Published: (2025)

Fair Document Valuation in LLM Summaries via Shapley Values
by: Ye, Zikun, et al.
Published: (2025)

A Recursive Partitioning Approach for Dynamic Discrete Choice Modeling in High Dimensional Settings
by: Barzegary, Ebrahim, et al.
Published: (2022)

Machine Learning and Optimization Techniques for Solving Inverse Kinematics in a 7-DOF Robotic Arm
by: Adediran, Enoch, et al.
Published: (2024)

MTQ-Eval: Multilingual Text Quality Evaluation for Language Models
by: Pokharel, Rhitabrat, et al.
Published: (2025)

Sample-Efficient Bayesian Optimization with Transfer Learning for Heterogeneous Search Spaces
by: Deshwal, Aryan, et al.
Published: (2024)

StrucText-Eval: Evaluating Large Language Model's Reasoning Ability in Structure-Rich Text
by: Gu, Zhouhong, et al.
Published: (2024)

AgenticEval: Toward Agentic and Self-Evolving Safety Evaluation of Large Language Models
by: Wang, Yixu, et al.
Published: (2025)

Forget and Explain: Transparent Verification of GNN Unlearning
by: Ahsan, Imran, et al.
Published: (2025)

Efficient Exploration of Image Classifier Failures with Bayesian Optimization and Text-to-Image Models
by: LeCoz, Adrien, et al.
Published: (2024)

AtelierEval: Agentic Evaluation of Humans & LLMs as Text-to-Image Prompters
by: Luo, Hanjun, et al.
Published: (2026)

ProEval: Proactive Failure Discovery and Efficient Performance Estimation for Generative AI Evaluation
by: Huang, Yizheng, et al.
Published: (2026)

Balancing Engagement and Polarization: Multi-Objective Alignment of News Content Using LLMs
by: Cheng, Mengjie, et al.
Published: (2025)

Channel Adoption Pathways and Post-Adoption Behavior
by: Biswas, Shirsho, et al.
Published: (2025)

How does online shopping affect offline price sensitivity?
by: Biswas, Shirsho, et al.
Published: (2025)

Visual Polarization Measurement Using Counterfactual Image Generation
by: Mosaffa, Mohammad, et al.
Published: (2025)

Choice Models and Permutation Invariance: Demand Estimation in Differentiated Products Markets
by: Singh, Amandeep, et al.
Published: (2023)

LOLA: LLM-Assisted Online Learning Algorithm for Content Experiments
by: Ye, Zikun, et al.
Published: (2024)

A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search
by: Seong-Eun, Baek, et al.
Published: (2026)

Transfer Learning for Bayesian Optimization on Heterogeneous Search Spaces
by: Fan, Zhou, et al.
Published: (2023)

Continuous-Variable Quantum Encoding Techniques: A Comparative Study of Embedding Techniques and Their Impact on Machine Learning Performance
by: Rath, Minati, et al.
Published: (2025)

Quantum-Assisted Simulation: A Framework for Developing Machine Learning Models in Quantum Computing
by: Rath, Minati, et al.
Published: (2023)

FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models
by: Yu, Zhuohao, et al.
Published: (2024)

PyEvalAI: AI-assisted evaluation of Jupyter Notebooks for immediate personalized feedback
by: Wandel, Nils, et al.
Published: (2025)

From Patterns to Predictions: A Shapelet-Based Framework for Directional Forecasting in Noisy Financial Markets
by: Kim, Juwon, et al.
Published: (2025)

Self-Improving AI Agents through Self-Play
by: Chojecki, Przemyslaw
Published: (2025)

PhysicsEval: Inference-Time Techniques to Improve the Reasoning Proficiency of Large Language Models on Physics Problems
by: Siddique, Oshayer, et al.
Published: (2025)

TimeStampEval: A Simple LLM Eval and a Little Fuzzy Matching Trick to Improve Search Accuracy
by: McCammon, James
Published: (2025)

Check-Eval: A Checklist-based Approach for Evaluating Text Quality
by: Pereira, Jayr, et al.
Published: (2024)

ReviewEval: An Evaluation Framework for AI-Generated Reviews
by: Garg, Madhav Krishan, et al.
Published: (2025)

AdaptEval: A Benchmark for Evaluating Large Language Models on Code Snippet Adaptation
by: Zhang, Tanghaoran, et al.
Published: (2026)

FedEval-LLM: Federated Evaluation of Large Language Models on Downstream Tasks with Collective Wisdom
by: He, Yuanqin, et al.
Published: (2024)