Base Models Look Human To AI Detectors
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Yixuan Even, Zhong, Ziqian, Raghunathan, Aditi, Fang, Fei, Kolter, J. Zico |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning
by: Xu, Yixuan Even, et al.
Published: (2025)
by: Xu, Yixuan Even, et al.
Published: (2025)
Antidistillation Fingerprinting
by: Xu, Yixuan Even, et al.
Published: (2026)
by: Xu, Yixuan Even, et al.
Published: (2026)
Looking beyond the next token
by: Thankaraj, Abitha, et al.
Published: (2025)
by: Thankaraj, Abitha, et al.
Published: (2025)
Existing Large Language Model Unlearning Evaluations Are Inconclusive
by: Feng, Zhili, et al.
Published: (2025)
by: Feng, Zhili, et al.
Published: (2025)
Context-Parametric Inversion: Why Instruction Finetuning Can Worsen Context Reliance
by: Goyal, Sachin, et al.
Published: (2024)
by: Goyal, Sachin, et al.
Published: (2024)
Weight Ensembling Improves Reasoning in Language Models
by: Dang, Xingyu, et al.
Published: (2025)
by: Dang, Xingyu, et al.
Published: (2025)
A Simple and Effective Pruning Approach for Large Language Models
by: Sun, Mingjie, et al.
Published: (2023)
by: Sun, Mingjie, et al.
Published: (2023)
Watch the Weights: Unsupervised monitoring and control of fine-tuned LLMs
by: Zhong, Ziqian, et al.
Published: (2025)
by: Zhong, Ziqian, et al.
Published: (2025)
Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line
by: Kim, Eungyeup, et al.
Published: (2023)
by: Kim, Eungyeup, et al.
Published: (2023)
Self-Trained Verification for Training- and Test-Time Self-Improvement
by: Wu, Chen Henry, et al.
Published: (2026)
by: Wu, Chen Henry, et al.
Published: (2026)
ImpossibleBench: Measuring LLMs' Propensity of Exploiting Test Cases
by: Zhong, Ziqian, et al.
Published: (2025)
by: Zhong, Ziqian, et al.
Published: (2025)
Jailbreaking in the Haystack
by: Shah, Rishi Rajesh, et al.
Published: (2025)
by: Shah, Rishi Rajesh, et al.
Published: (2025)
Mode-Conditioning Unlocks Superior Test-Time Scaling
by: Wu, Chen Henry, et al.
Published: (2025)
by: Wu, Chen Henry, et al.
Published: (2025)
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning
by: Maini, Pratyush, et al.
Published: (2023)
by: Maini, Pratyush, et al.
Published: (2023)
Training a Generally Curious Agent
by: Tajwar, Fahim, et al.
Published: (2025)
by: Tajwar, Fahim, et al.
Published: (2025)
Roll the dice & look before you leap: Going beyond the creative limits of next-token prediction
by: Nagarajan, Vaishnavh, et al.
Published: (2025)
by: Nagarajan, Vaishnavh, et al.
Published: (2025)
Mimetic Initialization of MLPs
by: Trockman, Asher, et al.
Published: (2026)
by: Trockman, Asher, et al.
Published: (2026)
Why is SAM Robust to Label Noise?
by: Baek, Christina, et al.
Published: (2024)
by: Baek, Christina, et al.
Published: (2024)
Algorithmic Capabilities of Random Transformers
by: Zhong, Ziqian, et al.
Published: (2024)
by: Zhong, Ziqian, et al.
Published: (2024)
Pando: Do Interpretability Methods Work When Models Won't Explain Themselves?
by: Zhong, Ziqian, et al.
Published: (2026)
by: Zhong, Ziqian, et al.
Published: (2026)
Antidistillation Sampling
by: Savani, Yash, et al.
Published: (2025)
by: Savani, Yash, et al.
Published: (2025)
AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists
by: Pan, Junshu, et al.
Published: (2026)
by: Pan, Junshu, et al.
Published: (2026)
FUSE-ing Language Models: Zero-Shot Adapter Discovery for Prompt Optimization Across Tokenizers
by: Williams, Joshua Nathaniel, et al.
Published: (2024)
by: Williams, Joshua Nathaniel, et al.
Published: (2024)
Compressed Sensing for Capability Localization in Large Language Models
by: Bair, Anna, et al.
Published: (2026)
by: Bair, Anna, et al.
Published: (2026)
Predicting the Performance of Black-box LLMs through Follow-up Queries
by: Sam, Dylan, et al.
Published: (2025)
by: Sam, Dylan, et al.
Published: (2025)
Massive Activations in Large Language Models
by: Sun, Mingjie, et al.
Published: (2024)
by: Sun, Mingjie, et al.
Published: (2024)
AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents
by: Andriushchenko, Maksym, et al.
Published: (2024)
by: Andriushchenko, Maksym, et al.
Published: (2024)
Exploring the Plausibility of Hate and Counter Speech Detectors with Explainable AI
by: Böck, Adrian Jaques, et al.
Published: (2024)
by: Böck, Adrian Jaques, et al.
Published: (2024)
Superhuman AI for Stratego Using Self-Play Reinforcement Learning and Test-Time Search
by: Sokota, Samuel, et al.
Published: (2025)
by: Sokota, Samuel, et al.
Published: (2025)
Navigating the Shadows: Unveiling Effective Disturbances for Modern AI Content Detectors
by: Zhou, Ying, et al.
Published: (2024)
by: Zhou, Ying, et al.
Published: (2024)
Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks
by: Vatsal, Shubham, et al.
Published: (2025)
by: Vatsal, Shubham, et al.
Published: (2025)
Hodoscope: Unsupervised Monitoring for AI Misbehaviors
by: Zhong, Ziqian, et al.
Published: (2026)
by: Zhong, Ziqian, et al.
Published: (2026)
A Review of Human Emotion Synthesis Based on Generative Technology
by: Ma, Fei, et al.
Published: (2024)
by: Ma, Fei, et al.
Published: (2024)
PMPO: Probabilistic Metric Prompt Optimization for Small and Large Language Models
by: Zhao, Chenzhuo, et al.
Published: (2025)
by: Zhao, Chenzhuo, et al.
Published: (2025)
Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation
by: He, Yutong, et al.
Published: (2024)
by: He, Yutong, et al.
Published: (2024)
Amplifying, Not Learning: Fine-Tuned AI Text Detectors Amplify a Pretrained Direction
by: Smirnov, Alexander
Published: (2026)
by: Smirnov, Alexander
Published: (2026)
ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference
by: Zeng, Ziqian, et al.
Published: (2023)
by: Zeng, Ziqian, et al.
Published: (2023)
A Closer Look at Machine Unlearning for Large Language Models
by: Yuan, Xiaojian, et al.
Published: (2024)
by: Yuan, Xiaojian, et al.
Published: (2024)
IPAD: Inverse Prompt for AI Detection - A Robust and Interpretable LLM-Generated Text Detector
by: Chen, Zheng, et al.
Published: (2025)
by: Chen, Zheng, et al.
Published: (2025)
ReGal: A First Look at PPO-based Legal AI for Judgment Prediction and Summarization in India
by: Nigam, Shubham Kumar, et al.
Published: (2025)
by: Nigam, Shubham Kumar, et al.
Published: (2025)
Similar Items
-
Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning
by: Xu, Yixuan Even, et al.
Published: (2025) -
Antidistillation Fingerprinting
by: Xu, Yixuan Even, et al.
Published: (2026) -
Looking beyond the next token
by: Thankaraj, Abitha, et al.
Published: (2025) -
Existing Large Language Model Unlearning Evaluations Are Inconclusive
by: Feng, Zhili, et al.
Published: (2025) -
Context-Parametric Inversion: Why Instruction Finetuning Can Worsen Context Reliance
by: Goyal, Sachin, et al.
Published: (2024)