:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Martin, Sam, Roger, Fabien
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2605.12265
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Classifier Context Rot: Monitor Performance Degrades with Context Length
by: Martin, Sam, et al.
Published: (2026)

Self-Attribution Bias: When AI Monitors Go Easy on Themselves
by: Khullar, Dipika, et al.
Published: (2026)

Paying Less Generalization Tax: A Cross-Domain Generalization Study of RL Training for LLM Agents
by: Liu, Zhihan, et al.
Published: (2026)

Target-specific Adaptation and Consistent Degradation Alignment for Cross-Domain Remaining Useful Life Prediction
by: Hou, Yubo, et al.
Published: (2025)

SLEIGHT-Bench: A Benchmark of Evasion Attacks Against Agent Monitors
by: Najt, Elle, et al.
Published: (2026)

Narrow Secret Loyalty Dodges Black-Box Audits
by: Lamerton, Alfie, et al.
Published: (2026)

Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions
by: Furqon, Muhammad Tanzil, et al.
Published: (2024)

Evidential Domain Adaptation for Remaining Useful Life Prediction with Incomplete Degradation
by: Hou, Yubo, et al.
Published: (2026)

CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?
by: Alabdulmohsin, Ibrahim, et al.
Published: (2024)

The Jailbreak Tax: How Useful are Your Jailbreak Outputs?
by: Nikolić, Kristina, et al.
Published: (2025)

Characterising LLM-Generated Competency Questions: a Cross-Domain Empirical Study using Open and Closed Models
by: Alharbi, Reham, et al.
Published: (2026)

Reasoning-Driven Multimodal LLM for Domain Generalization
by: Xu, Zhipeng, et al.
Published: (2026)

Geometry over Density: Few-Shot Cross-Domain OOD Detection
by: Li, Shawn, et al.
Published: (2026)

Structured Decomposition for LLM Reasoning: Cross-Domain Validation and Semantic Web Integration
by: Sadowski, Albert, et al.
Published: (2026)

Cross-Domain Content Generation with Domain-Specific Small Language Models
by: Maloo, Ankit, et al.
Published: (2024)

When is Tree Search Useful for LLM Planning? It Depends on the Discriminator
by: Chen, Ziru, et al.
Published: (2024)

All Code, No Thought: Current Language Models Struggle to Reason in Ciphered Language
by: Guo, Shiyuan, et al.
Published: (2025)

Generative Multi-Target Cross-Domain Recommendation
by: Jin, Jinqiu, et al.
Published: (2025)

PixelBytes: Catching Unified Representation for Multimodal Generation
by: Furfaro, Fabien
Published: (2024)

PixelBytes: Catching Unified Embedding for Multimodal Generation
by: Furfaro, Fabien
Published: (2024)

Read, Grep, and Synthesize: Diagnosing Cross-Domain Seed Exposure for LLM Research Ideation
by: Choi, Yunju, et al.
Published: (2026)

Reasoning Under Pressure: How do Training Incentives Influence Chain-of-Thought Monitorability?
by: MacDermott, Matt, et al.
Published: (2025)

GPU Kernel Scientist: An LLM-Driven Framework for Iterative Kernel Optimization
by: Andrews, Martin, et al.
Published: (2025)

Exploiting Contextual Structure to Generate Useful Auxiliary Tasks
by: Quartey, Benedict, et al.
Published: (2023)

Excess Description Length of Learning Generalizable Predictors
by: Donoway, Elizabeth, et al.
Published: (2026)

Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning
by: Xu, Yixuan Even, et al.
Published: (2025)

Model Spec Midtraining: Improving How Alignment Training Generalizes
by: Li, Chloe, et al.
Published: (2026)

PowerGraph-LLM: Novel Power Grid Graph Embedding and Optimization with Large Language Models
by: Bernier, Fabien, et al.
Published: (2025)

Deep Domain Adaptation for Turbofan Engine Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends
by: Wang, Yucheng, et al.
Published: (2025)

SemaCDR: LLM-Powered Transferable Semantics for Cross-Domain Sequential Recommendation
by: Zhang, Chunxu, et al.
Published: (2026)

How to Train Your LLM Web Agent: A Statistical Diagnosis
by: Vattikonda, Dheeraj, et al.
Published: (2025)

Open-Medical-R1: How to Choose Data for RLVR Training at Medicine Domain
by: Qiu, Zhongxi, et al.
Published: (2025)

SynCDR : Training Cross Domain Retrieval Models with Synthetic Data
by: Mishra, Samarth, et al.
Published: (2023)

When Pretty Isn't Useful: Investigating Why Modern Text-to-Image Models Fail as Reliable Training Data Generators
by: Adamkiewicz, Krzysztof, et al.
Published: (2026)

Domain Fusion Controllable Generalization for Cross-Domain Time Series Forecasting from Multi-Domain Integrated Distribution
by: Ma, Xiangkai, et al.
Published: (2024)

AI-Generated Content in Cross-Domain Applications: Research Trends, Challenges and Propositions
by: Li, Jianxin, et al.
Published: (2025)

Distributional Training Data Attribution: What do Influence Functions Sample?
by: Mlodozeniec, Bruno, et al.
Published: (2025)

How Good LLM-Generated Password Policies Are?
by: Vaidya, Vivek, et al.
Published: (2025)

Federated Domain Generalization with Label Smoothing and Balanced Decentralized Training
by: Soltany, Milad, et al.
Published: (2024)

Predicting Parking Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach
by: Zhang, Huaiwu, et al.
Published: (2024)