:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chu, Xu, Zhang, Zhixin, Jia, Tianyu, Jin, Yujie
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2502.18099
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Data Selection for LLM Alignment Using Fine-Grained Preferences
by: Zhang, Jia, et al.
Published: (2025)

Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment
by: Kim, Dongyoung, et al.
Published: (2024)

Reward Shaping for Inference-Time Alignment: A Stackelberg Game Perspective
by: Wang, Haichuan, et al.
Published: (2026)

Convergence Acceleration in Wireless Federated Learning: A Stackelberg Game Approach
by: Wang, Kaidi, et al.
Published: (2022)

PluralLLM: Pluralistic Alignment in LLMs via Federated Learning
by: Srewa, Mahmoud, et al.
Published: (2025)

DrugSAGE:Self-evolving Agent Experience for Efficient State-of-the-Art Drug Discovery
by: Zhang, Yikun, et al.
Published: (2026)

Robust LLM Alignment via Distributionally Robust Direct Preference Optimization
by: Xu, Zaiyan, et al.
Published: (2025)

SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction
by: Yu, Zhihao, et al.
Published: (2024)

Conformal Thresholded Intervals for Efficient Regression
by: Luo, Rui, et al.
Published: (2024)

IntelliCare: Improving Healthcare Analysis with Variance-Controlled Patient-Level Knowledge from Large Language Models
by: Yu, Zhihao, et al.
Published: (2024)

Adversarial Preference Learning for Robust LLM Alignment
by: Wang, Yuanfu, et al.
Published: (2025)

Unsupervised Conformal Inference: Bootstrapping and Alignment to Control LLM Uncertainty
by: Pang, Lingyou, et al.
Published: (2025)

Data-Centric Human Preference with Rationales for Direct Preference Alignment
by: Just, Hoang Anh, et al.
Published: (2024)

Adaptive Ensembles of Fine-Tuned Transformers for LLM-Generated Text Detection
by: Lai, Zhixin, et al.
Published: (2024)

Volume-Sorted Prediction Set: Efficient Conformal Prediction for Multi-Target Regression
by: Luo, Rui, et al.
Published: (2025)

Robust Reward Alignment via Hypothesis Space Batch Cutting
by: Xie, Zhixian, et al.
Published: (2025)

Multimodal-Guided Dynamic Dataset Pruning for Robust and Efficient Data-Centric Learning
by: Yang, Suorong, et al.
Published: (2025)

D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning
by: Zhang, Jia, et al.
Published: (2025)

From Parameters to Data: A Task-Parameter-Guided Fine-Tuning Pipeline for Efficient LLM Alignment
by: Chen, Hao, et al.
Published: (2026)

ALMA: Alignment with Minimal Annotation
by: Yasunaga, Michihiro, et al.
Published: (2024)

SCAN: Self-Denoising Monte Carlo Annotation for Robust Process Reward Learning
by: Ding, Yuyang, et al.
Published: (2025)

Contextual Optimization under Covariate Shift: A Robust Approach by Intersecting Wasserstein Balls
by: Wang, Tianyu, et al.
Published: (2024)

RobustExplain: Evaluating Robustness of LLM-Based Explanation Agents for Recommendation
by: Zhang, Guilin, et al.
Published: (2026)

Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment
by: Chen, Tiejin, et al.
Published: (2026)

Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks
by: Li, Tao, et al.
Published: (2024)

Rubric-Conditioned LLM Grading: Alignment, Uncertainty, and Robustness
by: Deng, Haotian, et al.
Published: (2025)

Gradient Compression May Hurt Generalization: A Remedy by Synthetic Data Guided Sharpness Aware Minimization
by: Gu, Yujie, et al.
Published: (2026)

Online Distributionally Robust LLM Alignment via Regression to Relative Reward
by: Sahu, Sharan, et al.
Published: (2025)

Revisiting Robustness for LLM Safety Alignment via Selective Geometry Control
by: Yang, Yonghui, et al.
Published: (2026)

Prior-Informed Zeroth-Order Optimization with Adaptive Direction Alignment for Memory-Efficient LLM Fine-Tuning
by: Jin, Feihu, et al.
Published: (2026)

TriPlay-RL: Tri-Role Self-Play Reinforcement Learning for LLM Safety Alignment
by: Tan, Zhewen, et al.
Published: (2026)

CluCERT: Certifying LLM Robustness via Clustering-Guided Denoising Smoothing
by: Wang, Zixia, et al.
Published: (2025)

Reducing the Safety Tax in LLM Safety Alignment with On-Policy Self-Distillation
by: Fu, Yu, et al.
Published: (2026)

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability
by: Bao, Jie, et al.
Published: (2025)

Rethinking Neural Network Learning Rates: A Stackelberg Perspective
by: Zeng, Sihan, et al.
Published: (2026)

LLM Chain Ensembles for Scalable and Accurate Data Annotation
by: Farr, David, et al.
Published: (2024)

Advantage Alignment Algorithms
by: Duque, Juan Agustin, et al.
Published: (2024)

DAOP: Data-Aware Offloading and Predictive Pre-Calculation for Efficient MoE Inference
by: Zhang, Yujie, et al.
Published: (2024)

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment
by: Xie, Huanyi, et al.
Published: (2025)

Annotation-Efficient Language Model Alignment via Diverse and Representative Response Texts
by: Jinnai, Yuu, et al.
Published: (2024)