Cover Image

One Model for All: Multi-Objective Controllable Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	He, Qiang, Yang, Yucheng, Zhou, Tianyi, Fang, Meng, Pechenizkiy, Mykola, Maghsudi, Setareh
Format:	Preprint
Published:	2026
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

Pareto Multi-Objective Alignment for Language Models
by: He, Qiang, et al.
Published: (2025)

Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation
by: He, Qiang, et al.
Published: (2024)

Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning
by: Yang, Yucheng, et al.
Published: (2025)

On Adversarial Robustness of Language Models in Transfer Learning
by: Turbal, Bohdan, et al.
Published: (2024)

RuAG: Learned-rule-augmented Generation for Large Language Models
by: Zhang, Yudi, et al.
Published: (2024)

Emergence of Fair Leaders via Mediators in Multi-Agent Reinforcement Learning
by: Dodwadmath, Akshay, et al.
Published: (2025)

HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents
by: Tomilin, Tristan, et al.
Published: (2025)

Multi-Objective Large Language Model Unlearning
by: Pan, Zibin, et al.
Published: (2024)

Promote, Suppress, Iterate: How Language Models Answer One-to-Many Factual Queries
by: Yan, Tianyi Lorena, et al.
Published: (2025)

Gradient-Adaptive Policy Optimization: Towards Multi-Objective Alignment of Large Language Models
by: Li, Chengao, et al.
Published: (2025)

Large Language Models Are Neurosymbolic Reasoners
by: Fang, Meng, et al.
Published: (2024)

Retrieval-enhanced Knowledge Editing in Language Models for Multi-Hop Question Answering
by: Shi, Yucheng, et al.
Published: (2024)

One-Shot Federated Learning with Bayesian Pseudocoresets
by: d'Hondt, Tim, et al.
Published: (2024)

Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation
by: Xie, Guofu, et al.
Published: (2025)

Schoenfeld's Anatomy of Mathematical Reasoning by Language Models
by: Li, Ming, et al.
Published: (2025)

Are There Exceptions to Goodhart's Law? On the Moral Justification of Fairness-Aware Machine Learning
by: Weerts, Hilde, et al.
Published: (2022)

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

Multi-Objective Reinforcement Learning for Large Language Model Optimization: Visionary Perspective
by: Kong, Lingxiao, et al.
Published: (2025)

Reward-free Alignment for Conflicting Objectives
by: Chen, Peter, et al.
Published: (2026)

All Language Models Large and Small
by: Chen, Zhixun, et al.
Published: (2024)

On the Limitations of Rank-One Model Editing in Answering Multi-hop Questions
by: He, Zhiyuan, et al.
Published: (2026)

A Survey on Diffusion Language Models
by: Li, Tianyi, et al.
Published: (2025)

Continuous Autoregressive Language Models
by: Shao, Chenze, et al.
Published: (2025)

FairPy: A Toolkit for Evaluation of Prediction Biases and their Mitigation in Large Language Models
by: Viswanath, Hrishikesh, et al.
Published: (2023)

Convergent Evolution: How Different Language Models Learn Similar Number Representations
by: Fu, Deqing, et al.
Published: (2026)

Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective Reinforcement
by: Xie, Guanwen, et al.
Published: (2024)

Unveiling the Decision-Making Process in Reinforcement Learning with Genetic Programming
by: Eberhardinger, Manuel, et al.
Published: (2024)

Reinforcement Learning for Reasoning in Large Language Models with One Training Example
by: Wang, Yiping, et al.
Published: (2025)

Leveraging Large Language Models with Chain-of-Thought and Prompt Engineering for Traffic Crash Severity Analysis and Inference
by: Zhen, Hao, et al.
Published: (2024)

$T^2$ of Thoughts: Temperature Tree Elicits Reasoning in Large Language Models
by: Cai, Chengkun, et al.
Published: (2024)

One Size Does Not Fit All: Token-Wise Adaptive Compression for KV Cache
by: Lu, Liming, et al.
Published: (2026)

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

Sink-Aware Pruning for Diffusion Language Models
by: Myrzakhan, Aidar, et al.
Published: (2026)

Evolutionary Multi-Objective Optimization of Large Language Model Prompts for Balancing Sentiments
by: Baumann, Jill, et al.
Published: (2024)

Improving Medical Large Vision-Language Models with Abnormal-Aware Feedback
by: Zhou, Yucheng, et al.
Published: (2025)

Beyond Next Token Prediction: Patch-Level Training for Large Language Models
by: Shao, Chenze, et al.
Published: (2024)

Can Large Language Models Understand Intermediate Representations in Compilers?
by: Jiang, Hailong, et al.
Published: (2025)

Beyond Linear Steering: Unified Multi-Attribute Control for Language Models
by: Oozeer, Narmeen, et al.
Published: (2025)

DistiLLM: Towards Streamlined Distillation for Large Language Models
by: Ko, Jongwoo, et al.
Published: (2024)

Benchmarking Foundation Models with Retrieval-Augmented Generation in Olympic-Level Physics Problem Solving
by: Zheng, Shunfeng, et al.
Published: (2025)