:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Jovine, Adam S., Ye, Tinghan, Bahk, Francis, Wang, Jingjing, Ford, Matthew, Shmoys, David B., Frazier, Peter I.
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2510.25799
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cornell University Uses Integer Programming to Optimize Final Exam Scheduling
by: Ye, Tinghan, et al.
Published: (2024)

HawkesLLM: Semantic Uncertainty Propagation in Agentic Text Simulation
by: Deng, Zewei, et al.
Published: (2026)

CliqueParcel: An Approach For Batching LLM Prompts That Jointly Optimizes Efficiency And Faithfulness
by: Liu, Jiayi, et al.
Published: (2024)

Modeling the Risk of In-Person Instruction during the COVID-19 Pandemic
by: Liu, Brian, et al.
Published: (2023)

LLMAP: LLM-Assisted Multi-Objective Route Planning with User Preferences
by: Yuan, Liangqi, et al.
Published: (2025)

LET THEM LISTEN.
by: EHRHARDT, HARRYETTE B.
Published: (1967)

Do Audio LLMs Really LISTEN, or Just Transcribe? Measuring Lexical vs. Acoustic Emotion Cues Reliance
by: Chen, Jingyi, et al.
Published: (2025)

Robust Multi-Objective Preference Alignment with Online DPO
by: Gupta, Raghav, et al.
Published: (2025)

Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts
by: Wang, Haoxiang, et al.
Published: (2024)

Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards
by: Wang, Haoxiang, et al.
Published: (2024)

Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment
by: Guo, Yiju, et al.
Published: (2024)

AIPO: Improving Training Objective for Iterative Preference Optimization
by: Shen, Yaojie, et al.
Published: (2024)

Self-Improvement Towards Pareto Optimality: Mitigating Preference Conflicts in Multi-Objective Alignment
by: Li, Moxin, et al.
Published: (2025)

gfs20250105v1
by: Jovine, Luca
Published: (2025)

wfs20250930v1
by: Jovine, Luca
Published: (2025)

Preference Orchestrator: Prompt-Aware Multi-Objective Alignment for Large Language Models
by: Liu, Biao, et al.
Published: (2025)

Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game
by: Cheng, Pengyu, et al.
Published: (2023)

Optimizing Districting Plans to Maximize Majority-Minority Districts via IPs and Local Search
by: Brous, Daniel, et al.
Published: (2025)

Self-supervised Preference Optimization: Enhance Your Language Model with Preference Degree Awareness
by: Li, Jian, et al.
Published: (2024)

MMORF: A Multi-agent Framework for Designing Multi-objective Retrosynthesis Planning Systems
by: Baker, Frazier N., et al.
Published: (2026)

AMPO: Active Multi-Preference Optimization for Self-play Preference Selection
by: Gupta, Taneesh, et al.
Published: (2025)

Less is More: Improving LLM Alignment via Preference Data Selection
by: Deng, Xun, et al.
Published: (2025)

Your LLM Knows the Future: Uncovering Its Multi-Token Prediction Potential
by: Samragh, Mohammad, et al.
Published: (2025)

Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs
by: Zhao, Siyan, et al.
Published: (2025)

Table-Critic: A Multi-Agent Framework for Collaborative Criticism and Refinement in Table Reasoning
by: Yu, Peiying, et al.
Published: (2025)

Style over Story: Measuring LLM Narrative Preferences via Structured Selection
by: Jung, Donghoon, et al.
Published: (2025)

Put Your Money Where Your Mouth Is: Evaluating Strategic Planning and Execution of LLM Agents in an Auction Arena
by: Chen, Jiangjie, et al.
Published: (2023)

The Alignment Auditor: A Bayesian Framework for Verifying and Refining LLM Objectives
by: Bou, Matthieu, et al.
Published: (2025)

SkillBrew: Multi-Objective Curation of Skill Banks for LLM Agents
by: Hu, Wentao, et al.
Published: (2026)

IPO: Your Language Model is Secretly a Preference Classifier
by: Garg, Shivank, et al.
Published: (2025)

Prompt-A-Video: Prompt Your Video Diffusion Model via Preference-Aligned LLM
by: Ji, Yatai, et al.
Published: (2024)

Breaking the Mirror: Activation-Based Mitigation of Self-Preference in LLM Evaluators
by: Roytburg, Dani, et al.
Published: (2025)

SpeechDialogueFactory: Generating High-Quality Speech Dialogue Data to Accelerate Your Speech-LLM Development
by: Wang, Minghan, et al.
Published: (2025)

Are LLM Evaluators Really Narcissists? Sanity Checking Self-Preference Evaluations
by: Roytburg, Dani, et al.
Published: (2026)

Does It Run and Is That Enough? Revisiting Text-to-Chart Generation with a Multi-Agent Approach
by: Ford, James, et al.
Published: (2025)

PACIFIC: Can LLMs Discern the Traits Influencing Your Preferences? Evaluating Personality-Driven Preference Alignment in LLMs
by: Zhao, Tianyu, et al.
Published: (2026)

Is Your LLM Really Mastering the Concept? A Multi-Agent Benchmark
by: Xu, Shuhang, et al.
Published: (2025)

UniCBE: An Uniformity-driven Comparing Based Evaluation Framework with Unified Multi-Objective Optimization
by: Yuan, Peiwen, et al.
Published: (2025)

Combatting Gerrymandering with Ranked Choice Voting: An Experimental Analysis of Multi-member Districts in the United States
by: Garg, Nikhil, et al.
Published: (2021)

Learn More, Forget Less: A Gradient-Aware Data Selection Approach for LLM
by: Liu, Yibai, et al.
Published: (2025)