Text Analysis and Detection

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39 papers in the last four weeks, up 56% on the four weeks before. 0.5% of all new papers.

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When Is 0.1% Enough? Analyzing the Combined Effects of Dimensionality Reduction and Quantization on Text Embedding Compression
May 31, 2026Riku Kisako, Hayato Tsukagoshi, Ryohei SasanoText Embeddings Data Compression Methods
Graduate School of Informatics, Nagoya University
MedSyn2: Flexible Control of 3D CT Generation via Text and Semantically-Defined Segmentation Prompts
May 31, 2026Weicheng Dai, Chenyu Wang, Binxu Li +4Medical Image Generation 3D Medical Image Segmentation
Boston University School of Engineering, Boston, MA, USA · Stanford University · University of Pittsburgh Medical Center +1
Short-form Text Rewriting with Phi Silica
May 30, 2026Divya Tadimeti, Shawn Pan, Sameera Lanka +2Paraphrasing Small Large Language Models
Microsoft · Cambridge, USA · Redmond, USA
TSM-Bench: Detecting LLM-Generated Text in Real-World Wikipedia Editing Practices
May 29, 2026Gerrit Quaremba, Elizabeth Black, Denny Vrandečić +1Machine-Generated Text Detection Wikipedia
1King’s College London · 2Wikimedia Foundation
AfriScience-MT: Towards Decolonizing Science in Africa through Text Translation
May 28, 2026Idris Abdulmumin, Tajuddeen Gwadabe, Shamsuddeen Hassan Muhammad +11African Languages Machine Translation Quality
Data Science for Social Impact, University of Pretoria · Masakhane Research Foundation · Imperial College London +9
Comparative Evaluation of Machine Translation Systems on Images with Text
May 28, 2026Blai Puchol, Sergio Gómez González, Miguel Domingo +1Image-Text Pairs Unpaired Image-To-Image Translation
PRHLT Research Center - Universitat Polit`ecnica de Val`encia, Camino de Vera, s/n - Valencia · ValgrAI - Valencian Graduate School and Research Network for Artificial Intelligence, Camino de Vera s/n
AliMark: Enhancing Robustness of Sentence-Level Watermarking Against Text Paraphrasing
May 28, 2026Yuexin Li, Wenjie Qu, Linyu Wu +5Paraphrasing Watermarking
1National University of Singapore.
Text-Preserving Lossy Text Compression: A Study of Strategic Deletion and LLM Reconstruction
May 27, 2026Yuchun Zou, Junhong Tong, Jun LiLarge Language Model Compression Large Language Model Decoding
CUNY Graduate Center · CUNY Queens College · CUNY Queens College & Graduate Center
Do LLMs Build World Models From Text? A Multilingual Diagnostic of Spatial Reasoning
May 27, 2026Zhikai Pan, Chih-Ting Liao, Chunrui Liu +5LLM Reasoning Strategies Spatial Reasoning
University of New South Wales · Essential Energy · University of Alabama at Birmingham +3
PromptEmbedder: Efficient and Transferable Text Embedding via Dual-LLM Soft Prompting
May 27, 2026Yu-Che Tsai, Kuan-Yu Chen, Yuan-Hao Chen +4Text Embeddings Contrastive Learning
Department of Computer Science and Information Engineering, National Taiwan University · National Taiwan University AI Center of Research Excellence Taipei, Taiwan
Challenges in Explaining Pretrained Clinical Text Classifiers
May 27, 2026Kristian Miok, Matej Klemen, Blaz Škrlj +1Natural Language Processing Text Analysis and Detection
Faculty of Computer and Information Science, University of Ljubljana, Slovenia · ICAM - Advanced Environmental Research Institute, West University of Timisoara, Romania · Jožef Stefan Institute
Show, Don't TELL: Explainable AI-Generated Text Detection
May 27, 2026Aldan Creo, Suraj RanganathMachine-Generated Text Detection Authorship
School of Computing, Information and Data Sciences University of California, San Diego United States of America
Dasheng AudioGen: A Unified Model for Generating Coherent Audio Scenes from Text
May 27, 2026Jiahao Mei, Heinrich Dinkel, Yadong Niu +7Modern Generative Audio Models Acoustic Latent Space
1X-LANCE Lab, Shanghai Jiao Tong University, Shanghai, China · 2MiLM Plus, Xiaomi Inc., Beijing, China
METATR: A Multilingual, Evolving Benchmark for Automatic Text Recognition
May 26, 2026Mélodie Boillet, Solène Tarride, Christopher KermorvantMultilingual Benchmark Handwritten Text Recognition
TEKLIA, Paris, France
SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness
May 25, 2026Jiahao Huo, Wenjie Qu, Yibo Yan +5Watermarks Paraphrasing
The Hong Kong University of Science and Technology (Guangzhou) · National University of Singapore · The Hong Kong University of Science and Technology +1
READER: Reasoning-Enhanced AI-Generated Text Detection
May 24, 2026Pingfan Su, Kai Ye, Shijin Gong +4Machine-Generated Text Detection Text Analysis and Detection
Department of Statistics, London School of Economics and Political Science · School of Management, University of Science and Technology of China · School of Mathematics, University of Birmingham
Beyond Control-Flow: Integrating the Resource Perspective into Multi-Collaborative Process Modeling from Text
May 23, 2026Anton Antonov, Humam Kourani, Alessandro Berti +1Large Language Model Workflows Collaboration
Fraunhofer Institute for Applied Information Technology FIT, Schloss Birlinghoven, 53757 Sankt Augustin, Germany · RWTH Aachen University, Ahornstraße 55, 52074 Aachen, Germany
Hidden Human-Like Nature of Machine-Generated Texts: Theory and Detection Enhancement
May 22, 2026Chenwang Wu, Yiu-ming Cheung, Bo Han +1Machine-Generated Text Detection Large Language Model Hallucination
Department of Computer Science, Hong Kong Baptist University, Hong Kong, China · School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui 230000, China
Polite on the Surface, Broken in Practice: A Curated Dataset for Fixing Generation and Register Failures in Low-Resource Bangla Text Generation
May 21, 2026Md. Asaduzzaman Shuvo, Mahedi Hasan, Md. Tashin Parvez +2Bangla Multimodal Continual Instruction Tuning
United International University, Bangladesh
Evaluation of Chunking Strategies for Effective Text Embedding in Low-Resource Language on Agricultural Documents
May 21, 2026Sovandara Chhoun, Pichdara Po, Sereiwathna Ros +2Chunk Document Segmentation
Department of Big Data, Chungbuk National University, Cheongju-si, South Korea · Department of Computer Science, Chungbuk National University, Cheongju-si, South Korea · BigDataLabs Co., Ltd. Department of Management Information Systems, Chungbuk National University, South Korea
Amplifying, Not Learning: Fine-Tuned AI Text Detectors Amplify a Pretrained Direction
May 20, 2026Alexander SmirnovMachine-Generated Text Detection Text Analysis and Detection
University College London
Assessing socio-economic climate impacts from text data
May 20, 2026Mariana Madruga de Brito, Brielen Madureira, Taís Maria Nunes Carvalho +15Disaster Response Text-Driven
Helmholtz Centre for Environmental Research, Germany · Leipzig University, Germany · UCLouvain Brussels, Belgium +12
Findings of the Counter Turing Test: AI-Generated Text Detection
May 20, 2026Rajarshi Roy, Gurpreet Singh, Ashhar Aziz +16Machine-Generated Text Detection Attacker Large Language Model
Kalyani Government Engineering College, India. · IIIT Guwahati, India. · IIIT Delhi, India. +10
Interpretable Discriminative Text Representations via Agreement and Label Disentanglement
May 20, 2026Tong Wang, Yiqing Xu, Leo Yang YangDiscriminative Text Analysis and Detection
School of Management Yale University New Haven, CT, US, 06511 · Department of Accountancy, Economics and Finance Hong Kong Baptist University Kowloon, Hong Kong SAR
Modeling Emotional Dynamics in Agent-to-Agent Interactions on Moltbook
May 19, 2026Syed Mhamudul Hasan, Abdur R. ShahidHuman-Ai Interaction Automatic Identification System
Southern Illinois University Carbondale, IL, USA
Latent Cache Flow: Model-to-Model Communication Without Text
May 19, 2026Maximillian Rossi, Prajwal Raghunath, Eugene WuLarge Language Model Agents Latent Flow
Columbia University
FormalASR: End-to-End Spoken Chinese to Formal Text
May 19, 2026Wanyi Ning, Yinshang Guo, Haitao Qian +3Automatic Speech Recognition Transcript
1Yijiahe AI, Nanjing, China · 2Tianjin University, Tianjin, China · 3Nanjing University, Nanjing, China
Do You Need Text Rectification? Soft Attention Mask Embedding for Rectification-Free Scene Text Spotting
May 18, 2026Antonio Colombo, Giovanni BianchiScene Text Recognition Rectification
School of Information, Polytechnic University of Turin, Italy
Bridging the Gap: Converting Read Text to Conversational Dialogue
May 18, 2026Parshav Singla, Agnik Banerjee, Aaditya Arora +5Speech Synthesis Prosody
Thapar Institute of Engineering and Technology, Patiala, India · Samsung Research and Development Institute, Bangalore, India
Beyond Detection: A Structure-Aware Framework for Scene Text Tracking
May 17, 2026Chenmin Yu, Liu Yu, Daiqing Wu +3Scene Text Recognition Multi-Object Tracking
1VCIP & TMCC & DISSec, College of Computer Science & College of Cryptology and Cyber Science, Nankai University · Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China.
F2IND-IT! -- Multimodal Fuzzy Fake Indian News Detection using Images and Text
May 16, 2026Kushal Trivedi, Murtuza Shaikh, Khushi Singh +1Fake News Detection Multimodal Deep Learning
ABV - Indian Institute of Information Technology, Gwalior
Training-Free Occluded Text Rendering via Glyph Priors and Attention-Guided Semantic Blending
May 16, 2026Jingqi Hou, Hongtian WangFew-Shot Font Generation Occlusion
1,2College of Computer Science, Beijing University of Technology, Beijing, China
Multi-Level Contextual Token Relation Modeling for Machine-Generated Text Detection
May 15, 2026Chenwang Wu, Yiuming Cheung, Bo Han +2Machine-Generated Text Detection Text Generation
Department of Computer Science, Hong Kong Baptist University, Hong Kong, China · School of Software Engineering, South China University of Technology, Guangzhou, Guangdong 510000, China · School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui 230000, China +1
Text Knows What, Tables Know When: Clinical Timeline Reconstruction via Retrieval-Augmented Multimodal Alignment
May 14, 2026Sayantan Kumar, Shahriar Noroozizadeh, Juyong Kim +1Patient Trajectories Electronic Health Records
Division of Intramural Research National Library of Medicine, National Institutes of Health Bethesda, MD, USA
Tokenizer Fertility and Zero-Shot Performance of Foundation Models on Ukrainian Legal Text: A Comparative Study
May 14, 2026Volodymyr OvcharovLegal Natural Language Processing Benchmarks Ukrainian
LEX AI Platform, legal.org.ua Kyiv, Ukraine
StyleTextGen: Style-Conditioned Multilingual Scene Text Generation
May 14, 2026Zeyu Chen, Fangmin Zhao, Yan Shu +3Scene Text Recognition Multilingual Benchmark
1Nankai University · Institute of Information Engineering, Chinese Academy of Sciences · University of Trento
What if Tomorrow is the World Cup Final? Counterfactual Time Series Forecasting with Textual Conditions
May 14, 2026Shuqi Gu, Yongxiang Zhao, Baoyu Jing +1Text Analysis and Detection
School of Information Science and Technology, ShanghaiTech University, Shanghai, China · University of Illinois at Urbana-Champaign, Illinois, United States.
InsightTok: Improving Text and Face Fidelity in Discrete Tokenization for Autoregressive Image Generation
May 14, 2026Yang Yue, Fangyun Wei, Tianyu He +10Autoregressive Image Generation Few-Shot Font Generation
Tsinghua University · Microsoft Research
Steer-to-Detect: Probing Hidden Representations for Detection of LLM-Generated Texts
May 13, 2026Luxu Liang, Xiang LiMachine-Generated Text Detection Large Language Model Hallucination
Tsinghua University · University of Pennsylvania
PROMETHEUS: Automating Deep Causal Research Integrating Text, Data and Models
May 13, 2026Sridhar MahadevanScientific Discovery Text Analysis and Detection
Adobe Research · University of Massachusetts, Amherst
A Comparative Study of Controlled Text Generation Systems Using Level-Playing-Field Evaluation Principles
May 12, 2026Michela Lorandi, Anya BelzMulti-Dimensional Evaluation Text Generation
Dublin City University, Dublin, Ireland
Beyond Text Prompts: Visual-to-Visual Generation as A Unified Paradigm
May 12, 2026Yaofang Liu, Kangning Cui, Meng Chu +7Visual Generation Text Analysis and Detection
City University of Hong Kong · City University of Hong Kong (Dongguan) · The Hong Kong University of Science and Technology +4
TAR: Text Semantic Assisted Cross-modal Image Registration Framework for Optical and SAR Images
May 12, 2026Zhuoyu Cai, Dou Quan, Ning Huyan +3Synthetic Aperture Radar Image Registration
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, School of Artificial Intelligence, Xidian University, Xi’an 710071, China
BadSKP: Backdoor Attacks on Knowledge Graph-Enhanced LLMs with Soft Prompts
May 12, 2026Xiaoting Lyu, Yufei Han, Hangwei Qian +6Attacker Large Language Model Large Language Model Backbones
Ministry of Education Key Lab for Intelligent Networks and Network Security, Xi’an Jiaotong University, 710049, Xi’an, Shaanxi, China · INRIA, 35042, Rennes, Bretagne, France · CFAR, A*STAR, 138632, Singapore +4
UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs
May 12, 2026Houcheng Jiang, Jiajun Fu, Junfeng Fang +4Latent Visual Reasoning Multimodal Large Language Models
University of Science and Technology of China · Zhongguancun Academy · National University of Singapore +1
Measuring What Matters Beyond Text: Evaluating Multimodal Summaries by Quality, Alignment, and Diversity
May 12, 2026Abid Ali, Diego Molla-Aliod, Usman NaseemMultimodal Evaluation Summarization
School of Computing, Macquarie University, Sydney, Australia
DiffScore: Text Evaluation Beyond Autoregressive Likelihood
May 12, 2026Wen Lai, Yingli Shen, Dingnan Jin +4Score-Based Diffusion Model Text Analysis and Detection
1Ant Group · 2Tsinghua University · 3Technical University of Munich
TB-AVA: Text as a Semantic Bridge for Audio-Visual Parameter Efficient Finetuning
May 12, 2026Seongah Kim, Dinh Phu Tran, Hyeontaek Hwang +3Audio-Video Generation Cross-Modal
AI2 Lab, KAIST
MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image
May 11, 2026Alan Arazi, Eilam Shapira, Shoham Grunblat +8Tabular Learning Tabular Foundation Models
Technion – Israel Institute of Technology · Prior Labs · NVIDIA +4
Teaching LLMs to See Graphs: Unifying Text and Structural Reasoning
May 11, 2026Dario VajdaMultiplex Graph Transformers Graph-Llm Integrations
Faculty of Computer and Information Science University of Ljubljana
The Text Uncanny Valley: Non-Monotonic Performance Degradation in LLM Information Retrieval
May 8, 2026Zekai Tong, Ruiyao Xu, Aryan Shrivastava +2Large Language Models Fail Text Analysis and Detection
University of Chicago · 2Northwestern University
Topic Is Not Agenda: A Citation-Community Audit of Text Embeddings
May 8, 2026Junseon YooCitations Retrievers
Pluto Labs
LensVLM: Selective Context Expansion for Compressed Visual Representation of Text
May 7, 2026Roy Xie, Dan Friedman, Donghan Yu +7Vision Encoders Visual Representations
Apple · Duke University
Lightweight Stylistic Consistency Profiling: Robust Detection of LLM-Generated Textual Content for Multimedia Moderation
May 7, 2026Siyuan Li, Aodu Wulianghai, Xi Lin +6Content Moderation Human-Written Text
School of Computer Science, Shanghai Jiao Tong University, Shanghai, China · Institute of Automation, Chinese Academy of Sciences, Beijing, China · College of Computer Science and Technology, Zhejiang University, Hangzhou, China
Visual Text Compression as Measure Transport
May 6, 2026Lv Tang, Tianyi Zheng, Yang Liu +2Token Compression Data Compression Methods
University of Alberta1 · vivo Mobile Communication Co., Ltd2 · Tsinghua University3
From Historical Tabular Image to Knowledge Graphs: A Provenance-Aware Modular Pipeline
May 6, 2026Sarah Binta Alam Shoilee, Victor de Boer, Jacco van Ossenbruggen +1Knowledge Graphs Handwriting
Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
MIRAGE: Retrieval and Generation of Multimodal Images and Texts for Medical Education
May 6, 2026Miguel Diaz Benito, Cecilia Diana Albelda, Alvaro Garcia Martin +3Multimodal Clinical Data Multimodal Retrieval Augmented Generation
Universidad Autónoma de Madrid, 28049 Madrid, Spain
Segmenting Human-LLM Co-authored Text via Change Point Detection
May 5, 2026Mengchu Li, Jin Zhu, Jinglai Li +1Machine-Generated Text Detection Document Segmentation
School of Mathematics University of Birmingham Birmingham, UK · Department of Statistics London School of Economics and Political Science London, UK
Real-Time Text Transmission via LLM-Based Entropy Coding over Fixed-Rate Channels
May 3, 2026Vishnu Teja Kunde, Jean-Francois Chamberland, Krishna R. Narayanan +1Source-Channel Coding Data Compression Methods
Texas A&M University · Brigham Young University
LLM-Augmented Semantic Steering of Text Embedding Projection Spaces
May 3, 2026Wei Liu, Eric Krokos, Kirsten Whitley +2Text Embeddings Projection
Virginia Tech Blacksburg, Virginia, USA · Department of Defense Washington, DC, USA · Tulane University New Orleans, Louisiana, USA

May 31, 2026, cs.CLJ/K move · Enter open · S save

When Is 0.1% Enough? Analyzing the Combined Effects of Dimensionality Reduction and Quantization on Text Embedding Compression

Riku Kisako, Hayato Tsukagoshi, Ryohei Sasano

Graduate School of Informatics, Nagoya University

Text Embeddings Data Compression Methods Dimensionality Reduction Intrinsic Dimensionality Text Analysis and Detection

Open paper AskPDF arXiv

Recent high-performing text embedding models often output high-dimensional real-valued vectors, resulting in substantial storage and computational costs. To address this issue, compression methods based on dimensionality reduction or quantization have been proposed; however, the effects of combining dimensionality reduction and quantization have not been sufficiently investigated. In this paper, we systematically examine the effectiveness of compressing text embeddings by combining dimensionality reduction and quantization, using four MTEB task families and four pretrained embedding models. The experimental results demonstrate that combining dimensionality reduction and quantization enables substantially stronger compression than using either method alone, that in some settings embeddings can be reduced to as little as 0.1% of their original size with almost no performance degradation, and that the optimal compression strategy depends on the task.

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