Saved in:
| Main Authors: | Zhang, Zhongping, Qin, Wenda, Plummer, Bryan A. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.11744 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Real, Fake, or Manipulated? Detecting Machine-Influenced Text
by: Wang, Yitong, et al.
Published: (2025)
by: Wang, Yitong, et al.
Published: (2025)
Breaking the Assistant Mold: Modeling Behavioral Variation in LLM Based Procedural Character Generation
by: Qraitem, Maan, et al.
Published: (2026)
by: Qraitem, Maan, et al.
Published: (2026)
Tell Me What's Next: Textual Foresight for Generic UI Representations
by: Burns, Andrea, et al.
Published: (2024)
by: Burns, Andrea, et al.
Published: (2024)
Walk and Read Less: Improving the Efficiency of Vision-and-Language Navigation via Tuning-Free Multimodal Token Pruning
by: Qin, Wenda, et al.
Published: (2025)
by: Qin, Wenda, et al.
Published: (2025)
IsoQuant: Hardware-Aligned SO(4) Isoclinic Rotations for LLM KV Cache Compression
by: Ji, Zhongping
Published: (2026)
by: Ji, Zhongping
Published: (2026)
Generating Difficult-to-Translate Texts
by: Zouhar, Vilém, et al.
Published: (2025)
by: Zouhar, Vilém, et al.
Published: (2025)
Meta-aware Learning in text-to-SQL Large Language Model
by: Zhang, Wenda
Published: (2025)
by: Zhang, Wenda
Published: (2025)
Planning Beyond Text: Graph-based Reasoning for Complex Narrative Generation
by: Gu, Hanwen, et al.
Published: (2026)
by: Gu, Hanwen, et al.
Published: (2026)
TOOLCAD: Exploring Tool-Using Large Language Models in Text-to-CAD Generation with Reinforcement Learning
by: Gong, Yifei, et al.
Published: (2026)
by: Gong, Yifei, et al.
Published: (2026)
Scaling Up Temporal Domain Generalization via Temporal Experts Averaging
by: Liu, Aoming, et al.
Published: (2025)
by: Liu, Aoming, et al.
Published: (2025)
TextMachina: Seamless Generation of Machine-Generated Text Datasets
by: Sarvazyan, Areg Mikael, et al.
Published: (2024)
by: Sarvazyan, Areg Mikael, et al.
Published: (2024)
Localizing Factual Inconsistencies in Attributable Text Generation
by: Cattan, Arie, et al.
Published: (2024)
by: Cattan, Arie, et al.
Published: (2024)
Local and Global Decoding in Text Generation
by: Gareev, Daniel, et al.
Published: (2024)
by: Gareev, Daniel, et al.
Published: (2024)
Exploring the Limitations of Detecting Machine-Generated Text
by: Doughman, Jad, et al.
Published: (2024)
by: Doughman, Jad, et al.
Published: (2024)
Unmasking the Imposters: How Censorship and Domain Adaptation Affect the Detection of Machine-Generated Tweets
by: Tuck, Bryan E., et al.
Published: (2024)
by: Tuck, Bryan E., et al.
Published: (2024)
Positional Properties in Temporal Logic
by: Newman, Jessica, et al.
Published: (2026)
by: Newman, Jessica, et al.
Published: (2026)
Attribute First, then Generate: Locally-attributable Grounded Text Generation
by: Slobodkin, Aviv, et al.
Published: (2024)
by: Slobodkin, Aviv, et al.
Published: (2024)
T-Detect: Tail-Aware Statistical Normalization for Robust Detection of Adversarial Machine-Generated Text
by: West, Alva, et al.
Published: (2025)
by: West, Alva, et al.
Published: (2025)
Authorship Obfuscation in Multilingual Machine-Generated Text Detection
by: Macko, Dominik, et al.
Published: (2024)
by: Macko, Dominik, et al.
Published: (2024)
Multi-Level Contextual Token Relation Modeling for Machine-Generated Text Detection
by: Wu, Chenwang, et al.
Published: (2026)
by: Wu, Chenwang, et al.
Published: (2026)
MGT-Prism: Enhancing Domain Generalization for Machine-Generated Text Detection via Spectral Alignment
by: Liu, Shengchao, et al.
Published: (2025)
by: Liu, Shengchao, et al.
Published: (2025)
On the Generalization and Adaptation Ability of Machine-Generated Text Detectors in Academic Writing
by: Liu, Yule, et al.
Published: (2024)
by: Liu, Yule, et al.
Published: (2024)
Detection of Machine-Generated Text: Literature Survey
by: Valiaiev, Dmytro
Published: (2024)
by: Valiaiev, Dmytro
Published: (2024)
LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected?
by: Zhang, Qihui, et al.
Published: (2024)
by: Zhang, Qihui, et al.
Published: (2024)
TextReasoningBench: Does Reasoning Really Improve Text Classification in Large Language Models?
by: Guo, Xinyu, et al.
Published: (2026)
by: Guo, Xinyu, et al.
Published: (2026)
Scalable Multilingual Multimodal Machine Translation with Speech-Text Fusion
by: Du, Yexing, et al.
Published: (2026)
by: Du, Yexing, et al.
Published: (2026)
Modeling Comparative Logical Relation with Contrastive Learning for Text Generation
by: Dan, Yuhao, et al.
Published: (2024)
by: Dan, Yuhao, et al.
Published: (2024)
Penalizing Length: Uncovering Systematic Bias in Quality Estimation Metrics
by: Zhang, Yilin, et al.
Published: (2025)
by: Zhang, Yilin, et al.
Published: (2025)
LM$^2$otifs : An Explainable Framework for Machine-Generated Texts Detection
by: Zheng, Xu, et al.
Published: (2025)
by: Zheng, Xu, et al.
Published: (2025)
EMTeC: A Corpus of Eye Movements on Machine-Generated Texts
by: Bolliger, Lena Sophia, et al.
Published: (2024)
by: Bolliger, Lena Sophia, et al.
Published: (2024)
Applying Ensemble Methods to Model-Agnostic Machine-Generated Text Detection
by: Ong, Ivan, et al.
Published: (2024)
by: Ong, Ivan, et al.
Published: (2024)
Who Wrote This? Identifying Machine vs Human-Generated Text in Hausa
by: Sani, Babangida, et al.
Published: (2025)
by: Sani, Babangida, et al.
Published: (2025)
GPT-who: An Information Density-based Machine-Generated Text Detector
by: Venkatraman, Saranya, et al.
Published: (2023)
by: Venkatraman, Saranya, et al.
Published: (2023)
Mixture of Detectors: A Compact View of Machine-Generated Text Detection
by: Lekkala, Sai Teja, et al.
Published: (2025)
by: Lekkala, Sai Teja, et al.
Published: (2025)
Beyond Raw Detection Scores: Markov-Informed Calibration for Boosting Machine-Generated Text Detection
by: Wu, Chenwang, et al.
Published: (2026)
by: Wu, Chenwang, et al.
Published: (2026)
HeLM: Highlighted Evidence augmented Language Model for Enhanced Table-to-Text Generation
by: Bian, Junyi, et al.
Published: (2023)
by: Bian, Junyi, et al.
Published: (2023)
How Large Language Models Balance Internal Knowledge with User and Document Assertions
by: Li, Shuowei, et al.
Published: (2026)
by: Li, Shuowei, et al.
Published: (2026)
Hierarchical Alignment: Enforcing Hierarchical Instruction-Following in LLMs through Logical Consistency
by: Yang, Shu, et al.
Published: (2026)
by: Yang, Shu, et al.
Published: (2026)
Machines in the Crowd? Measuring the Footprint of Machine-Generated Text on Reddit
by: La Cava, Lucio, et al.
Published: (2025)
by: La Cava, Lucio, et al.
Published: (2025)
DEER: Disentangled Mixture of Experts with Instance-Adaptive Routing for Generalizable Machine-Generated Text Detection
by: Ma, Guoxin, et al.
Published: (2025)
by: Ma, Guoxin, et al.
Published: (2025)
Similar Items
-
Real, Fake, or Manipulated? Detecting Machine-Influenced Text
by: Wang, Yitong, et al.
Published: (2025) -
Breaking the Assistant Mold: Modeling Behavioral Variation in LLM Based Procedural Character Generation
by: Qraitem, Maan, et al.
Published: (2026) -
Tell Me What's Next: Textual Foresight for Generic UI Representations
by: Burns, Andrea, et al.
Published: (2024) -
Walk and Read Less: Improving the Efficiency of Vision-and-Language Navigation via Tuning-Free Multimodal Token Pruning
by: Qin, Wenda, et al.
Published: (2025) -
IsoQuant: Hardware-Aligned SO(4) Isoclinic Rotations for LLM KV Cache Compression
by: Ji, Zhongping
Published: (2026)