Token-Level Uncertainty

Ask about this field

Recent momentum

emerging

0 papers in the last 28 days · 0.0% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

Weekly history

Recent digests

What was published in this field, kept on the site without email delivery.

Period ending 2026-09-21

17 new papers

A weekly snapshot of new work published in Token-Level Uncertainty.

Period ending 2026-09-14

9 new papers

A weekly snapshot of new work published in Token-Level Uncertainty.

Period ending 2026-09-07

14 new papers

A weekly snapshot of new work published in Token-Level Uncertainty.

Inside this field

Focused directions

473 papers

Latest in Token-Level Uncertainty

Browse all topics →
CardsList

  1. CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference

    May 12, 2026Nan Xue, Shengkang Chen, Zhiyong Chen +4Large Language Model RoutingHeterogeneous Edge Devices

  2. Toward Stable Value Alignment: Introducing Independent Modules for Consistent Value Guidance

    May 12, 2026Wenhao Chen, Sirui Sun, Shengyuan Bai +1Large Language Model AlignmentLarge Language Model Safety

  3. ScaleMoGen: Autoregressive Next-Scale Prediction for Human Motion Generation

    May 12, 2026Inwoo Hwang, Hojun Jang, Bing Zhou +3Human Motion GenerationMotion Generation

  4. Prompt-Activation Duality: Improving Activation Steering via Attention-Level Interventions

    May 11, 2026Diancheng Kang, Zheyuan Liu, Ningshan Ma +3Activation SteeringModel Activations

  5. Beyond Spatial Compression: Interface-Centric Generative States for Open-World 3D Structure

    May 11, 2026Xiang Chen, Alexander Binder3D Assets3D World

  6. Identified-Set Geometry of Distributional Model Extraction under Top-KK Censored API Access

    May 11, 2026Wenhua Nie, ZiCheng Zhu, Jianan Wu +3Kullback-Leibler DivergenceTop-K

  7. Yeti: A compact protein structure tokenizer for reconstruction and multi-modal generation

    May 11, 2026Nabin Giri, Steven Farrell, Kristofer E. BouchardProtein Data BankTokenization

  8. MambaNetBurst: Direct Byte-level Network Traffic Classification without Tokenization or Pretraining

    May 11, 2026Gayan K. Kulatilleke, Siamak Layeghy, Mahsa Baktashmotlagh +1Network TrafficBidirectional Mamba

  9. Continuous Latent Contexts Enable Efficient Online Learning in Transformers

    May 11, 2026Emile Anand, Abdullah Ateyeh, Xinyuan Cao +1In-Context LearningTransformer Architectures

  10. Beyond Position Bias: Shifting Context Compression from Position-Driven to Semantic-Driven

    May 10, 2026Jiwei Tang, Zhijing Huang, Xinyu Zhang +5Large Language Model CompressionEfficient Long-Context Inference

  11. RuPLaR : Efficient Latent Compression of LLM Reasoning Chains with Rule-Based Priors From Multi-Step to One-Step

    May 10, 2026Xiaocheng Luo, Kang Wang, Zaifu Zhan +2Large Language Model ReasoningLatent Reasoning Tokens

  12. Cornerstones or Stumbling Blocks? Deciphering the Rock Tokens in On-Policy Distillation

    May 10, 2026Yuxuan Jiang, Runchao Li, Shubhashis Roy Dipta +2On-Policy DistillationTeacher

  13. Dolphin-CN-Dialect: Where Chinese Dialects Matter

    May 9, 2026Yangyang Meng, Huihang Zhong, Guodong Lin +6DialectsSubword Tokenization

  14. LEAP: Unlocking dLLM Parallelism via Lookahead Early-Convergence Token Detection

    May 9, 2026Haohui Zhang, Zhiye Wang, Xiaoying Gan +2Diffusion Language ModelsParallel

  15. What Matters for Diffusion-Friendly Latent Manifold? Prior-Aligned Autoencoders for Latent Diffusion

    May 8, 2026Zhengrong Yue, Taihang Hu, Mengting Chen +8Latent Diffusion ModelMasked Autoencoders

  16. MISA: Mixture of Indexer Sparse Attention for Long-Context LLM Inference

    May 8, 2026Ruijie Zhou, Fanxu Meng, Yufei Xu +4Dynamic Sparse AttentionDeepseek

  17. A Reproducible Multi-Architecture Baseline for Token-Level Chinese Metaphor Identification under the MIPVU Framework

    May 8, 2026Yufeng WuMetaphorsText Corpora

  18. A Theory of Online Learning with Autoregressive Chain-of-Thought Reasoning

    May 7, 2026Ilan Doron-Arad, Idan Mehalel, Elchanan MosselAutoregressive GenerationOnline Learning

  19. PairAlign: A Framework for Sequence Tokenization via Self-Alignment with Applications to Audio Tokenization

    May 7, 2026Adhiraj Banerjee, Vipul AroraAudio TokensTokenization

  20. Asymmetric On-Policy Distillation: Bridging Exploitation and Imitation at the Token Level

    May 7, 2026Nan Jia, Haojin Yang, Xing Ma +6On-Policy DistillationPolicy Gradient

  21. Spark3R: Asymmetric Token Reduction Makes Fast Feed-Forward 3D Reconstruction

    May 7, 2026Zecheng Tang, Jiaye Fu, Qiankun Gao +5Feed-Forward 3D Reconstruction3D Reconstruction

  22. Irminsul: MLA-Native Position-Independent Caching for Agentic LLM Serving

    May 7, 2026Bole Ma, Jan Eitzinger, Harald KöstlerCacheDeepseek

  23. BitCal-TTS: Bit-Calibrated Test-Time Scaling for Quantized Reasoning Models

    May 7, 2026Sai Babu Patarlapalli, Surya Teja AvvaruConfidence EstimationTest-Time Scaling

  24. SCOUT: Active Information Foraging for Long-Text Understanding with Decoupled Epistemic States

    May 6, 2026Zhenliang Zhang, Wenqing Wang, Yong Hu +4Context LengthToken Communications

  25. Natural Language Processing: A Comprehensive Practical Guide from Tokenisation to RLHF

    May 5, 2026Mullosharaf K. ArabovNatural Language ProcessingLarge Language Model Pretraining

  26. A Comprehensive Analysis of Tokenization and Self-Supervised Learning in End-to-End Automatic Speech Recognition applied on French Language

    May 5, 2026Thibault Bañeras-Roux, Mickael Rouvier, Jane Wottawa +1Subword TokenizationWord Error Rate

  27. When to Think, When to Speak: Learning Disclosure Policies for LLM Reasoning

    May 5, 2026Jiaqi Wei, Xuehang Guo, Pengfei Yu +5Large Language Model ReasoningToken-Level Uncertainty

  28. When Prompts Interact: Assessing Prompt Arithmetic for Deconfounding under Distribution Shift

    May 4, 2026Zhecheng Sheng, Yongsen Tan, Xiruo Ding +2Distribution ShiftsPrompt Tuning

  29. Context-Aware Wireless Token Communication via Joint Token Masking and Detection

    May 4, 2026Junyong Shin, Joohyuk Park, Yongjeong Oh +3Token CommunicationsSemantic Communications

  30. Evolving Token Communication with Parametric Memory Network

    May 3, 2026Weixuan Chen, Qianqian YangSemantic CommunicationsToken Communications

  31. EGAD: Entropy-Guided Adaptive Distillation for Token-Level Knowledge Transfer

    May 3, 2026Hao Zhang, Zhibin Zhang, Guangxin Wu +3Knowledge DistillationToken-Level Uncertainty

  32. Accelerating Long-Tail Generation in Synchronous RLHF Training via Adaptive Tensor Parallelism

    May 3, 2026Long Zhao, Qinghe Wang, Jiaan Zhu +5ParallelReinforcement Learning From Human Feedback

  33. TimeTok: Granularity-Controllable Time-Series Generation via Hierarchical Tokenization

    May 2, 2026Seokhyun Lee, Jaeho Kim, Changjun Oh +2Synthetic Time SeriesAutoregressive Generation

  34. Compute Optimal Tokenization

    May 2, 2026Tomasz Limisiewicz, Artidoro Pagnoni, Srini Iyer +6Token CompressionLarge Models

  35. Breaking Safety at the Token Boundary: How BPE Tokenization Creates Exploitable Gaps in LLM Alignment

    May 1, 2026Tung-Ling Li, Hongliang Liu, Yuhao WuLarge Language Model AlignmentDiscrete Tokens

  36. End-to-End Autoregressive Image Generation with 1D Semantic Tokenizer

    May 1, 2026Wenda Chu, Bingliang Zhang, Jiaqi Han +4Autoregressive Image GenerationGenerative Models

  37. Unlearning What Matters: Token-Level Attribution for Precise Language Model Unlearning

    May 1, 2026Jiawei Wu, Doudou ZhouToken-Level UncertaintyCatastrophic Forgetting

  38. Prompt-Induced Score Variance in Zero-Shot Binary Vision-Language Safety Classification

    May 1, 2026Charles Weng, Dingwen Li, Alexander MartinLarge Language Model SafetyLarge Vision Language Models

  39. Token Arena: A Continuous Benchmark Unifying Energy and Cognition in AI Inference

    May 1, 2026Yuxuan Gao, Megan Wang, Yi Ling YuOnline InferenceArtificial Intelligence Benchmarks

  40. Lost in State Space: Probing Frozen Mamba Representations

    Apr 30, 2026Bhagyashree Wagh, Akash SinghRecurrent StateSummarization

  41. TokenScope: Token-Level Explainability and Interpretability for Code-Oriented Tasks in Large Language Models

    Apr 30, 2026Amirreza Esmaeili, Fatemeh FardCode GenerationToken-Level Uncertainty

  42. Secret Stealing Attacks on Local LLM Fine-Tuning through Supply-Chain Model Code Backdoors

    Apr 30, 2026Zi Li, Tian Zhou, Wenze Li +3Language Model Evasion AttacksLarge Language Model Fine-Tuning

  43. Decoupling the Benefits of Subword Tokenization for Language Model Training via Byte-level Simulation

    Apr 29, 2026Théo Gigant, Bowen Peng, Jeffrey QuesnelleSubword TokenizationLarge Language Model Pretraining

  44. Length Value Model: Scalable Value Pretraining for Token-Level Length Modeling

    Apr 29, 2026Zhen Zhang, Changyi Yang, Zijie Xia +11Token-Level UncertaintyInference Cost

  45. FED-FSTQ: Fisher-Guided Token Quantization for Communication-Efficient Federated Fine-Tuning of LLMs on Edge Devices

    Apr 28, 2026Changyu Li, Shuanghong Huang, Jiashen Liu +5Federated LearningLarge Language Model Quantization

  46. PolyKV: A Shared Asymmetrically-Compressed KV Cache Pool for Multi-Agent LLM Inference

    Apr 27, 2026Ishan Patel, Ishan JoshiKey-Value Cache CompressionKey-Value Cache

  47. VibeToken: Scaling 1D Image Tokenizers and Autoregressive Models for Dynamic Resolution Generations

    Apr 27, 2026Maitreya Patel, Jingtao Li, Weiming Zhuang +2Autoregressive Image GenerationAutoregressive Generation

  48. When to Commit? Towards Variable-Size Self-Contained Blocks for Discrete Diffusion Language Models

    Apr 27, 2026Danny Wang, Ruihong Qiu, Zi HuangDiffusion Language ModelsToken-Level Uncertainty

  49. KOMBO: Korean Character Representations Based on the Combination Rules of Subcharacters

    Apr 27, 2026SungHo Kim, Juhyeong Park, Yeachan Kim +1KoreanSingle-Character Wildcards

  50. Ulterior Motives: Detecting Misaligned Reasoning in Continuous Thought Models

    Apr 25, 2026Sharan RamjeeEfficient Latent ReasoningLarge Language Model Safety

  51. When Chain-of-Thought Fails, the Solution Hides in the Hidden States

    Apr 25, 2026Houman Mehrafarin, Amit Parekh, Ioannis KonstasChain-of-Thought ReasoningReasoning Traces

  52. How Do AI Agents Spend Your Money? Analyzing and Predicting Token Consumption in Agentic Coding Tasks

    Apr 24, 2026Longju Bai, Zhemin Huang, Xingyao Wang +5Token CommunicationsArtificial Intelligence Agents

  53. SSG: Logit-Balanced Vocabulary Partitioning for LLM Watermarking

    Apr 24, 2026Chenxi Gu, Xiaoning Du, John GrundyLarge Language Model WatermarksWatermarks

  54. Utility-Aware Data Pricing: Token-Level Quality and Empirical Training Gain for LLMs

    Apr 24, 2026Minghui Xu, Qi Luo, Kun LiPricesValue

  55. Context-Fidelity Boosting: Enhancing Faithful Generation through Watermark-Inspired Decoding

    Apr 24, 2026Weixu Zhang, Fanghua Ye, Qiang Gao +7Large Language Model HallucinationLarge Language Model Generation

  56. To See the Unseen: on the Generalization Ability of Transformers in Symbolic Reasoning

    Apr 23, 2026Nevena Lazić, Liam Fowl, András György +1Transformer EncoderTransformer Architectures

  57. Slot Machines: How LLMs Keep Track of Multiple Entities

    Apr 22, 2026Paul C. Bogdan, Jack LindseySentence-Level ClassificationEntities

  58. Adapting TrOCR for Printed Tigrinya Text Recognition: Word-Aware Loss Weighting for Cross-Script Transfer Learning

    Apr 22, 2026Yonatan Haile Medhanie, Yuanhua NiLatinAfrican Languages

  59. LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model

    Apr 22, 2026Inclusion AI, Tiwei Bie, Haoxing Chen +15Large Language Model BackbonesVisual Tokens

  60. Compatibility-Aware Dynamic Fine-Tuning for Large Language Models

    Apr 22, 2026Yucheng Zhou, Junwei Sheng, Qianning Wang +1FinetuningToken-Level Uncertainty