:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Luyang, Wang, Jialu, Zhu, Shichao, Li, Beibei, Wang, Zhongcun, Pan, Guangmou, Song, Yang
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2509.24189
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fairshare Data Pricing via Data Valuation for Large Language Models
by: Zhang, Luyang, et al.
Published: (2025)

Aligning Language Models with Human Preferences via a Bayesian Approach
by: Wang, Jiashuo, et al.
Published: (2023)

Dissecting Human and LLM Preferences
by: Li, Junlong, et al.
Published: (2024)

Do Agents Repair When Challenged -- or Just Reply? Challenge, Repair, and Public Correction in a Deployed Agent Forum
by: Zhang, Luyang, et al.
Published: (2026)

BUZZ: Beehive-structured Sparse KV Cache with Segmented Heavy Hitters for Efficient LLM Inference
by: Zhao, Junqi, et al.
Published: (2024)

User-LLM: Efficient LLM Contextualization with User Embeddings
by: Ning, Lin, et al.
Published: (2024)

Value-Spectrum: Quantifying Preferences of Vision-Language Models via Value Decomposition in Social Media Contexts
by: Li, Jingxuan, et al.
Published: (2024)

Improving LLM-as-a-Judge Inference with the Judgment Distribution
by: Wang, Victor, et al.
Published: (2025)

ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization
by: Wang, Yinjie, et al.
Published: (2025)

LLM-Driven Preference Data Synthesis for Proactive Prediction of the Next User Utterance in Human-Machine Dialogue
by: Wang, Jinqiang, et al.
Published: (2025)

CLIPer: Tailoring Diverse User Preference via Classifier-Guided Inference-Time Personalization
by: Su, Jinyan, et al.
Published: (2026)

Effectively Steer LLM To Follow Preference via Building Confident Directions
by: Song, Bingqing, et al.
Published: (2025)

Probability-Consistent Preference Optimization for Enhanced LLM Reasoning
by: Yang, Yunqiao, et al.
Published: (2025)

CATNIP: LLM Unlearning via Calibrated and Tokenized Negative Preference Alignment
by: Yang, Zhengbang, et al.
Published: (2026)

Enhancing User Engagement in Socially-Driven Dialogue through Interactive LLM Alignments
by: Wang, Jiashuo, et al.
Published: (2025)

Users as Annotators: LLM Preference Learning from Comparison Mode
by: Cai, Zhongze, et al.
Published: (2025)

Reading Users' Minds from What They Say: An Investigation into LLM-based Empathic Mental Inference
by: Zhu, Qihao, et al.
Published: (2024)

Multi-modal Preference Alignment Remedies Degradation of Visual Instruction Tuning on Language Models
by: Li, Shengzhi, et al.
Published: (2024)

PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs
by: Zhang, Rongzhi, et al.
Published: (2024)

LRHP: Learning Representations for Human Preferences via Preference Pairs
by: Wang, Chenglong, et al.
Published: (2024)

Scaling LLM Inference with Optimized Sample Compute Allocation
by: Zhang, Kexun, et al.
Published: (2024)

Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
by: Zhu, Zhaowei, et al.
Published: (2023)

DrugClaw and DrugAudit: A Primary-Source-Grounded Agent and Authority-Aware Benchmark for Drug-Information Question Answering
by: Wang, Qing, et al.
Published: (2026)

Counterspeech for Mitigating the Influence of Media Bias: Comparing Human and LLM-Generated Responses
by: Lin, Luyang, et al.
Published: (2025)

NeuronMLP: Efficient LLM Inference via Singular Value Decomposition Compression and Tiling on AWS Trainium
by: Song, Dinghong, et al.
Published: (2025)

Learning LLM Preference over Intra-Dialogue Pairs: A Framework for Utterance-level Understandings
by: Liu, Xuanqing, et al.
Published: (2025)

Full-Step-DPO: Self-Supervised Preference Optimization with Step-wise Rewards for Mathematical Reasoning
by: Xu, Huimin, et al.
Published: (2025)

ImplicitRM: Unbiased Reward Modeling from Implicit Preference Data for LLM alignment
by: Wang, Hao, et al.
Published: (2026)

DPO-Shift: Shifting the Distribution of Direct Preference Optimization
by: Yang, Xiliang, et al.
Published: (2025)

No Preference Left Behind: Group Distributional Preference Optimization
by: Yao, Binwei, et al.
Published: (2024)

Latent Inter-User Difference Modeling for LLM Personalization
by: Qiu, Yilun, et al.
Published: (2025)

AdaptFuse: Training-Free Sequential Preference Learning via Externalized Bayesian Inference
by: Lin, Fangzhou, et al.
Published: (2026)

Nash CoT: Multi-Path Inference with Preference Equilibrium
by: Zhang, Ziqi, et al.
Published: (2024)

POPI: Personalizing LLMs via Optimized Natural Language Preference Inference
by: Chen, Yizhuo, et al.
Published: (2025)

Experience Compression Spectrum: Unifying Memory, Skills, and Rules in LLM Agents
by: Zhang, Xing, et al.
Published: (2026)

Aligning Large Language Models with Implicit Preferences from User-Generated Content
by: Tan, Zhaoxuan, et al.
Published: (2025)

Efficient Long-Context LLM Inference via KV Cache Clustering
by: Hu, Jie, 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)

DuPO: Enabling Reliable LLM Self-Verification via Dual Preference Optimization
by: She, Shuaijie, et al.
Published: (2025)

LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation
by: Li, Jinze, et al.
Published: (2026)