Tuning

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7 papers in the last 28 days · 0.2% of indexed attention

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

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Period ending 2026-09-14

7 new papers

A weekly snapshot of new work published in Tuning.

88 papers

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  1. R4Tun: LLM-guided adaptive segmental tunnel lining segmentation in point clouds

    Sep 11, 2026Xinghui Tao, Zehao Ye, Guangming Wang +2Large Language Model AdaptationPoint Clouds

  2. Structure-Aware Unsupervised Anomaly Detection for Spacecraft Telemetry with Adaptive EVT Thresholding

    Sep 9, 2026Óscar Alcarria, Rafael Sánchez, Javier Sempere +5Unsupervised Anomaly DetectionMultivariate Telemetry Data

  3. Layerwise Tunable Lifting Scheme for the Convolutional Neural Network

    Sep 9, 2026Abdumannon Yovkochov, An Le, Sungbal Seo +2Resnet-18Convolutional Neural Networks

  4. Population Ecology of Tunes

    Sep 8, 2026John M. McBride, Armand. M. LeroiPopulation DynamicsCultural Alignment

  5. A Decade of Bayesian Optimization for Controller Tuning and Robot Learning: Tutorial, Review, and Future Prospects

    Sep 8, 2026David Stenger, Paul Brunzema, Johanna Menn +3Bayesian OptimizationTuning

  6. Why shared attention vectors fail: a case for outcome-indexed tuning

    Sep 8, 2026Lenard DomeVectorsGradient Descent

  7. MeRoTune: RoPE-Safe Merging with a Tunable Dial

    Sep 7, 2026Salman FarozModel MergingRotary Position Embedding

  8. SpecDrop: Parameter-Free Category-Conditioned Routing for Modular Specialization

    Aug 4, 2026Boyao Wang, Zhihan LeiMixture-Of-Expert RoutingDynamic Routing

  9. LoCA: Forward-Only LLM Tuning after One-Shot Calibration with Local Credit Assignment

    Aug 4, 2026Linhan Xia, Rui Liu, Zhaofeng Zhang +3TuningBackpropagation

  10. Less Is More: Tuning Configurable Systems with Imperfect Fidelity

    Aug 1, 2026Yulong Ye, Miqing Li, Tao ChenTuningBudgets

  11. Reinforcement Learning based DBMS Buffer Pool Auto-Tuning for Optimal Memory Utilization

    Jul 31, 2026Yifan Wang, Patrick Royer, Raphaël Féraud +1Tuning

  12. Stacking the Deck: Tunable Trainability in Stacked LCUs

    Jul 27, 2026Nikhil Khatri, Stefan Zohren, Gabriel MatosVariational Quantum CircuitsQuantum Topological Phases

  13. An LLM-Driven Workflow for Automated Process Control Strategy Generation and Tuning from Dynamic Process Models

    Jul 23, 2026Ari Luna Rueda, Eike Cramer, Klaus Hellgardt +1Chemical Process SystemsFeedback Linearization

  14. A Unified Moral-Value Dataset for Instruction Tuning

    Jul 23, 2026Zhaohui Zeng, Florian MaiInstruction TuningMoral Reasoning

  15. Three-Pronged Spectral Control for Federated Parameter Efficient Fine Tuning

    Jul 23, 2026Shiva Raj Pokhrel, Dipsan Bhattarai, Anwar WalidFederated Fine-TuningParameter-Efficient Fine-Tuning Methods

  16. Scalable Keyword Spotting via Modular Network Expansion

    Jul 22, 2026Viktor Khaymonenko, Dzmitry Saladukha, Aliaksei Rak +1Top-KTuning

  17. Point Ladder Tuning: Parameter-Efficient Hierarchical Adaptation for 3D Point Cloud Understanding

    Jul 21, 2026Junlin Chang, Longhao Zou, Rui LiPoint CloudsParameter-Efficient Fine-Tuning Methods

  18. Explaining and Tuning Transformer-based LLMs in Arithmetic Tasks with Human Strategies

    Jul 19, 2026Luyu Qiu, Jianing Li, Hwanhee Kim +4Numerical ReasoningLarge Language Models Fail

  19. TopoTuner: Topological Finetuning of Large Language Models

    Jul 18, 2026Abdulkadir Erol, Yash Mahajan, Vepaul Hariprashad +4FinetuningTuning

  20. When to Use Which? Benchmarking Optimisers for Configurable Systems under Varying Budgets

    Jul 17, 2026Chao Jiang, Yulong Ye, Tao Chen +1Optimizer DesignBudgets

  21. Efficient Tuning Before Low-Bit Post-Training Quantization for Stochastic Gradient Descent-optimized Models

    Jul 13, 2026Peng Xia, Junbiao Pang, Muhammad Ayub SabirPost-Training QuantizationQuantization Effects

  22. Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning

    Jul 10, 2026Edwin De Nicolo, Rahul Marchand, Cornelius Carlsson +2Quantum LearningMulti-Agent Reinforcement Learning

  23. Super-Tuning: From Activation-Aware Pruning to Sparse Fine-Tuning

    Jul 10, 2026Ivan Ilin, Philip Zmushko, Peter RichtárikParameter-Efficient Fine-Tuning MethodsMagnitude-Based Pruning

  24. PAST-TIDE: Prototype-Anchored Statement Tuning with Topic-Invariant Normalization for Stance Detection

    Jul 6, 2026Md. Shakhoyat Rahman Shujon, MD Jahid Hasan Jim, Md. Milon Islam +2Tweet-Level Stance DetectionNatural Language Processing

  25. MPSelectTune: Prompt-type Selection for Fine-tuning improves Concept Unlearning in LLMs

    Jul 4, 2026Shubhadip Nag, Srinjoy Das, Agniva Saha +5Large Language Model UnlearningAdversarial Prompts

  26. Self-Supervised Test-Time Tuning for Packet Loss Concealment

    Jul 2, 2026Yehoshua Dissen, Joseph KeshetSelf-Supervised LearningNoise-Aware

  27. ADAPT: Attention Dynamics Alignment with Preference Tuning for Faithful MLLMs

    Jun 30, 2026Zhiyuan Yao, Zheren Fu, Zhixiao Zheng +3Large Multimodal ModelsCross-Modal Attention

  28. Compiler-Driven Approximation Tuning for Hyperdimensional Computing

    Jun 25, 2026Xavier Routh, Abdul Rafae Noor, Akash Kothari +4HyperparameterCompiler

  29. A probabilistic framework for online test-time adaptation

    Jun 24, 2026Daniel Corrales, David Ríos InsuaTest-Time AdaptationDistribution Shifts

  30. Improving Text-to-Music Generation with Human Preference Rewards

    Jun 19, 2026Yonghyun Kim, Junwon Lee, Haiwen Xia +2Generative Music ModelsTuning

  31. Gradient-Based Learning of Parametric Engine Sound Representations for Real-Time Resynthesis and Tuning on Embedded Systems

    Jun 19, 2026Robin Doerfler, Matthieu Kuntz, Clemens ZimmerSonificationTurbofan Engines

  32. Probe-and-Refine Tuning of Repository Guidance for Coding Agents

    Jun 18, 2026Asa Shepard, Jeannie AlbrechtCoding AgentsRepository

  33. AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning

    Jun 18, 2026Zepeng Li, Jie Ren, Zhanyong Tang +2CompilerTuning

  34. Constraint-aware Optimization in Auto-Tuning

    Jun 17, 2026Floris-Jan Willemsen, Stijn Heldens, Rob V. van Nieuwpoort +1Evolutionary AlgorithmsConstrained Optimization

  35. PragReST: Self-Reinforcing Counterfactual Reasoning for Pragmatic Language Understanding

    Jun 17, 2026Jihyung Park, Minchao Huang, Leqi Liu +1LLM Reasoning MethodsNatural Language Processing

  36. SubT: Subspace Tuning for Few-shot Generalization of Audio-Language Models

    Jun 17, 2026Jaehyuk Jang, Kangwook Ko, Wonjun Lee +1Few-Shot LearningTuning

  37. TuneAhead: Predicting Fine-tuning Performance Before Full Training Begins

    Jun 16, 2026Yuxiang Luo, Haonan Long, Chen Wang +6FinetuningTuning

  38. TuneJury: An Open Metric for Improving Music Generation Preference Alignment

    Jun 15, 2026Yonghyun Kim, Junwon Lee, Haiwen Xia +5Generative Music ModelsPreference Alignment

  39. Tuning Agent-Based Predator-Prey Models Toward Lotka-Volterra Dynamics

    Jun 11, 2026Corinna Mandl, Siddharth Chaturvedi, Marcel van GervenAgent-Based ModelPopulation Dynamics

  40. How Seemingly Inconsequential Design Choices Dictate Performance of LLMs in Pathology

    Jun 10, 2026Kian R. Weihrauch, Thomas A. Buckley, William Lotter +1Pathology Foundation ModelsPathology

  41. Structure from Reasoning, Numbers from Search: On-Premise Open LLMs as Structural Priors for Coupled MIMO Controller Tuning

    Jun 9, 2026Jiaxuan Chen, Haonan Li, Yang ShuTuningFeedback Linearization

  42. Language-Aware Token Boosting: LLM Language Confusion Reduction Without Tuning

    Jun 8, 2026Trapoom Ukarapol, Pakhapoom Sarapat, Nut ChukamphaengLarge Language Model AlignmentMultilingual Language Models

  43. End-to-End Control of a Powered Knee-Ankle Prosthesis Towards Unified, Tuning-Free Assistance

    Jun 5, 2026John Shim, Christoph Nuesslein, Sixu Zhou +3LeggedTuning

  44. Knowledge-Preserved Model Tuning in Null-Space for Robust Spatio-Temporal Video Grounding

    Jun 2, 2026Haoxuan Chen, Xianqin Liu, Jian-Fang HuVideo Temporal GroundingSelf-Supervised Vision Transformers

  45. Message Tuning Outshines Graph Prompt Tuning: A Prismatic Space Perspective

    Jun 2, 2026Yancheng Chen, Dun Ma, Shuai Zhang +6Multimodal Graph Foundation LearningSoft Prompt Tuning

  46. From Non-Convex to Strongly Convex: Curvature-Adaptive FTPL for Online Optimization

    Jun 1, 2026Moses Charikar, Chirag Pabbaraju, Ambuj TewariConvex OptimizationCurvature Prediction Quality

  47. Parameter-Efficient Fine-Tuning of Large Pretrained Models for Instance Segmentation Tasks

    Jun 1, 2026Nermeen Abou Baker, David Rohrschneider, Uwe HandmannParameter-Efficient Fine-Tuning MethodsModel Pretraining

  48. SegTune: Structured and Fine-Grained Control for Song Generation

    May 31, 2026Yuejiao Wang, Zihao Ji, Pengfei Cai +6Generative Music ModelsSinging Voice Conversion

  49. Accurate Large-sample Uncertainty Quantification using Stochastic Gradient Markov Chain Monte Carlo

    May 29, 2026Yu Wang, Jie Ding, Jonathan H. HugginsStochastic Gradient DescentUncertainty Quantification

  50. HOIST: Humanoid Optimization with Imitation and Sample-efficient Tuning for Manipulating Suspended Loads

    May 29, 2026Songyang Liu, Shunyu Yao, Dingyuan Huang +1Whole-Body ControllersImitation Learning

  51. Representation Collapse in Sequential Post-Training of Large Language Models

    May 28, 2026Yichen Liu, Mingyu Chen, Hao Wang +7Post-Training PipelinesPost-Training

  52. Learning to Adapt SFT Data for Better Reasoning Generalization

    May 26, 2026Lisong Sun, Li Wang, Chen Zhang +4Supervised Fine-TuningTuning

  53. Agile Online Model Selection: Resolving Adaptation Lag via Safeguarded Large Learning Rates

    May 26, 2026Kei Takemura, Ryuta Matsuno, Keita SakumaLearning RatesDynamic Regret Bounds

  54. Open-Weight LLM Fine-Tuning Defenses are Susceptible to Simple Attacks

    May 26, 2026Kevin Kuo, Chhavi Yadav, Virginia SmithLanguage Model Evasion AttacksLarge Language Model Fine-Tuning

  55. Tunable MAGMAX: Preference-Aware Model Merging for Continual Learning

    May 20, 2026Kei Hiroshima, Kento Uchida, Shinichi ShirakawaEfficient Continual LearningContinual Model Merging

  56. A Case for Agentic Tuning: From Documentation to Action in PostgreSQL

    May 19, 2026Hongyu Lin, Mingyu Li, Weichen Zhang +4TuningDocumentation

  57. A Heuristic Approach for Performance Tuning in RL-based Quadrotor Control via Reward Design and Termination Conditions

    May 18, 2026Fausto Mauricio Lagos Suarez, Akshit Saradagi, Vidya Sumathy +1Quadrotor ControlDrone

  58. Decoupled Conformal Optimisation: Efficient Prediction Sets via Independent Tuning and Calibration

    May 18, 2026Fanyi Wu, Lihua Niu, Samuel Kaski +1Bayesian OptimizationEmpirical Risk Minimization

  59. TAME: Test-Time Adversarial Prompt Tuning via Mixture-of-Experts for Vision-Language Models

    May 17, 2026Xin Wang, Yixu Wang, Jiaming Zhang +6Adversarial TransferabilityPre-Trained Vision-Language Models

  60. Tuning-free Instruction-based Video Editing Via Structural Noise Initialization and Guidance

    May 15, 2026Song Wu, Xinyu Chen, Qian Wang +3Video EditingTuning