Cover Image

Risk Profiling and Modulation for LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Yikai, Li, Xiaocheng, Chen, Guanting
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

OMGPT: A Sequence Modeling Framework for Data-driven Operational Decision Making
by: Wang, Hanzhao, et al.
Published: (2025)

Reward Modeling with Ordinal Feedback: Wisdom of the Crowd
by: Liu, Shang, et al.
Published: (2024)

Understanding the Training and Generalization of Pretrained Transformer for Sequential Decision Making
by: Wang, Hanzhao, et al.
Published: (2024)

Calibrating conditional risk
by: Vasilyev, Andrey, et al.
Published: (2026)

In-Context Curiosity: Distilling Exploration for Decision-Pretrained Transformers on Bandit Tasks
by: Yang, Huitao, et al.
Published: (2025)

Attack End-to-End Autonomous Driving through Module-Wise Noise
by: Wang, Lu, et al.
Published: (2024)

What Matters in Data for DPO?
by: Pan, Yu, et al.
Published: (2025)

Multimodal Cardiovascular Risk Profiling Using Self-Supervised Learning of Polysomnography
by: He, Zhengxiao, et al.
Published: (2025)

Estimating Worst-Case Frontier Risks of Open-Weight LLMs
by: Wallace, Eric, et al.
Published: (2025)

MISA: Memory-Efficient LLMs Optimization with Module-wise Importance Sampling
by: Liu, Yuxi, et al.
Published: (2025)

Efficiently Deploying LLMs with Controlled Risk
by: Zellinger, Michael J., et al.
Published: (2024)

SCFCRC: Simultaneously Counteract Feature Camouflage and Relation Camouflage for Fraud Detection
by: Zhang, Xiaocheng, et al.
Published: (2025)

Long Input Sequence Network for Long Time Series Forecasting
by: Ma, Chao, et al.
Published: (2024)

Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach
by: Liu, Linyu, et al.
Published: (2024)

Learning to Make Adherence-Aware Advice
by: Chen, Guanting, et al.
Published: (2023)

DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoning
by: Li, Chengpeng, et al.
Published: (2024)

EL-MIA: Quantifying Membership Inference Risks of Sensitive Entities in LLMs
by: Satvaty, Ali, et al.
Published: (2025)

GAIN: Multiplicative Modulation for Domain Adaptation
by: Yao, Hengshuai, et al.
Published: (2026)

Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages
by: Ma, Guozheng, et al.
Published: (2023)

Conformal Selective Acting: Anytime-Valid Risk Control for RLVR-Trained LLMs
by: Khosravi, Hamed, et al.
Published: (2026)

Spatio-temporal Prediction of Fine-Grained Origin-Destination Matrices with Applications in Ridesharing
by: Yang, Run, et al.
Published: (2025)

Can LLMs Learn to Reason Robustly under Noisy Supervision?
by: Yang, Shenzhi, et al.
Published: (2026)

From Implicit Exploration to Structured Reasoning: Leveraging Guideline and Refinement for LLMs
by: Chen, Jiaxiang, et al.
Published: (2025)

Breaking the Context Bottleneck on Long Time Series Forecasting
by: Ma, Chao, et al.
Published: (2024)

Collaborative Prediction: To Join or To Disjoin Datasets
by: Kim, Kyung Rok, et al.
Published: (2025)

Mamba Modulation: On the Length Generalization of Mamba
by: Lu, Peng, et al.
Published: (2025)

MO-RiskVAE: A Multi-Omics Variational Autoencoder for Survival Risk Modeling in Multiple MyelomaMO-RiskVAE
by: Chen, Zixuan, et al.
Published: (2026)

Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs
by: Taraghi, Mina, et al.
Published: (2025)

Sub-Scaling Laws: On the Role of Data Density and Training Strategies in LLMs
by: Chen, Zhengyu, et al.
Published: (2025)

Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation
by: Dong, Guanting, et al.
Published: (2024)

AlphaDecay: Module-wise Weight Decay for Heavy-Tailed Balancing in LLMs
by: He, Di, et al.
Published: (2025)

Counterfactual Evaluation Reveals Hidden Capability Profiles in Clinical LLMs and Agents
by: Turk, Matt
Published: (2026)

Risk-aware Direct Preference Optimization under Nested Risk Measure
by: Zhang, Lijun, et al.
Published: (2025)

DMax: Aggressive Parallel Decoding for dLLMs
by: Chen, Zigeng, et al.
Published: (2026)

NeuronTune: Fine-Grained Neuron Modulation for Balanced Safety-Utility Alignment in LLMs
by: Pan, Birong, et al.
Published: (2025)

CAP: Controllable Alignment Prompting for Unlearning in LLMs
by: Wang, Zhaokun, et al.
Published: (2026)

DARC: Disagreement-Aware Alignment via Risk-Constrained Decoding
by: Zou, Mingxi, et al.
Published: (2026)

RiskWebWorld: A Realistic Interactive Benchmark for GUI Agents in E-commerce Risk Management
by: Chen, Renqi, et al.
Published: (2026)

LANPO: Bootstrapping Language and Numerical Feedback for Reinforcement Learning in LLMs
by: Li, Ang, et al.
Published: (2025)

G1: Teaching LLMs to Reason on Graphs with Reinforcement Learning
by: Guo, Xiaojun, et al.
Published: (2025)