:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Namikoshi, Keiichi, Filipowicz, Alex, Shamma, David A., Iliev, Rumen, Hogan, Candice L., Arechiga, Nikos
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2403.20252
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Leveraging Language Models and Bandit Algorithms to Drive Adoption of Battery-Electric Vehicles
by: Namikoshi, Keiichi, et al.
Published: (2024)

ConjointNet: Enhancing Conjoint Analysis for Preference Prediction with Representation Learning
by: Zhang, Yanxia, et al.
Published: (2025)

On LLM Wizards: Identifying Large Language Models' Behaviors for Wizard of Oz Experiments
by: Fang, Jingchao, et al.
Published: (2024)

The Belief State Transformer
by: Hu, Edward S., et al.
Published: (2024)

OccamLLM: Fast and Exact Language Model Arithmetic in a Single Step
by: Dugan, Owen, et al.
Published: (2024)

Learning to Represent Individual Differences for Choice Decision Making
by: Chen, Yan-Ying, et al.
Published: (2025)

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

RouteLLM: Learning to Route LLMs with Preference Data
by: Ong, Isaac, et al.
Published: (2024)

Targeted Visualization of the Backbone of Encoder LLMs
by: Roberts, Isaac, et al.
Published: (2024)

Active Preference Learning for Large Language Models
by: Muldrew, William, et al.
Published: (2024)

Stabilizing Reasoning in Medical LLMs with Continued Pretraining and Reasoning Preference Optimization
by: Kawakami, Wataru, et al.
Published: (2025)

DailyDilemmas: Revealing Value Preferences of LLMs with Quandaries of Daily Life
by: Chiu, Yu Ying, et al.
Published: (2024)

Reasoning Theater: Disentangling Model Beliefs from Chain-of-Thought
by: Boppana, Siddharth, et al.
Published: (2026)

Tool Preferences in Agentic LLMs are Unreliable
by: Faghih, Kazem, et al.
Published: (2025)

Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs
by: Lai, Xin, et al.
Published: (2024)

SparsePO: Controlling Preference Alignment of LLMs via Sparse Token Masks
by: Christopoulou, Fenia, et al.
Published: (2024)

MPPO: Multi Pair-wise Preference Optimization for LLMs with Arbitrary Negative Samples
by: Xie, Shuo, et al.
Published: (2024)

RLHF Can Speak Many Languages: Unlocking Multilingual Preference Optimization for LLMs
by: Dang, John, et al.
Published: (2024)

When Correct Beliefs Collapse: Epistemic Resilience of LLMs under Clinical Pressure
by: Xiao, Boyu, et al.
Published: (2026)

Course-Correction: Safety Alignment Using Synthetic Preferences
by: Xu, Rongwu, et al.
Published: (2024)

When Should Models Change Their Minds? Contextual Belief Management in Large Language Models
by: Xu, Haoming, et al.
Published: (2026)

Principled Fine-tuning of LLMs from User-Edits: A Medley of Preference, Supervision, and Reward
by: Misra, Dipendra, et al.
Published: (2026)

Theory of Space: Can Foundation Models Construct Spatial Beliefs through Active Exploration?
by: Zhang, Pingyue, et al.
Published: (2026)

On the Role of Preference Variance in Preference Optimization
by: Guo, Jiacheng, et al.
Published: (2025)

Improving Context-Aware Preference Modeling for Language Models
by: Pitis, Silviu, et al.
Published: (2024)

Aligners: Decoupling LLMs and Alignment
by: Ngweta, Lilian, et al.
Published: (2024)

Do LLMs Recognize Your Latent Preferences? A Benchmark for Latent Information Discovery in Personalized Interaction
by: Tsaknakis, Ioannis, et al.
Published: (2025)

Approximating Human Preferences Using a Multi-Judge Learned System
by: Sprejer, Eitán, et al.
Published: (2025)

Preference Poisoning Attacks on Reward Model Learning
by: Wu, Junlin, et al.
Published: (2024)

Preference Learning Algorithms Do Not Learn Preference Rankings
by: Chen, Angelica, et al.
Published: (2024)

Geometric-Averaged Preference Optimization for Soft Preference Labels
by: Furuta, Hiroki, et al.
Published: (2024)

Adaptive Margin RLHF via Preference over Preferences
by: Chittepu, Yaswanth, et al.
Published: (2025)

HelpSteer2-Preference: Complementing Ratings with Preferences
by: Wang, Zhilin, et al.
Published: (2024)

MENTIS: What Belief Changes Under Alignment? Measuring Multi-Scale Latent Torsion in Language Models
by: Saha, Partha Pratim, et al.
Published: (2026)

ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs
by: Wang, Zige, et al.
Published: (2025)

ROPO: Robust Preference Optimization for Large Language Models
by: Liang, Xize, et al.
Published: (2024)

MixDPO: Modeling Preference Strength for Pluralistic Alignment
by: Imai, Saki, et al.
Published: (2026)

Accelerated Preference Optimization for Large Language Model Alignment
by: He, Jiafan, et al.
Published: (2024)

Self-Play Preference Optimization for Language Model Alignment
by: Wu, Yue, et al.
Published: (2024)

Clarify, Abstain or Answer? Strategising in Conversation with Belief-Augmented Generation
by: Baan, Joris, et al.
Published: (2026)