Tuning

Momentum

16 papers in the last four weeks, with none the four weeks before. 0.2% of all new papers.

Jul 13Week of Sep 28

Latest papers 104

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CardsList
  1. HeadEdit: Calibrating Language Model Behavior Through the Frozen Unembedding Matrix

    Oct 1, 2026Zirui He, Haiyan Zhao, Jingyu Hu +5Large Language Model AlignmentTuning

  2. Inline Memory Meets Reusable Skills: Memory-centric Framework for Vision-Language-Action Model

    Sep 30, 2026Zaijing Li, Rui Shao, Bing Hu +3Vision-Language Model AdaptationScalable Robot Learning

  3. Transfer Calibrated Prediction Powered Inference

    Sep 28, 2026Aditya T. Vadlamani, Jae Ho Chang, Srinivasan Parthasarathy +1Domain AdaptationOnline Conformal Prediction

  4. Automated Regulatory Compliance Question Answering in Financial Services with Domain-Adapted Retrieval-Augmented Generation

    Sep 24, 2026Tobias Deußer, Abhishek Pillai, Aurelio F. Bariviera +5ComplianceBanking

  5. Not All Layers Need Tuning: Diagnosing and Directing Adaptation in Vision-Language-Action Models

    Sep 16, 2026Shahram Najam Syed, Arthur Jakobsson, Prayuj Sachdev +1Vision-Language Model AdaptationDiffusion-Based Vision-Language-Actions

  6. Accelerating Transfer-Learning-Based Autotuning with Predictive LLVM IR Performance Ranking

    Sep 14, 2026Md Arafat Hossain, Thomas Randall, Akash Dutta +3High-Performance ComputingCode Optimization

  7. Partition-Invariant Tuning for 3D Scene Understanding

    Sep 14, 2026Hongqiang Lin, Tianle Wang, Shuiwang Li +4Point Clouds3D Scene Understanding

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

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

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

    Sep 9, 2026Óscar Alcarria, Rafael Sánchez, Javier Sempere +5Interpretable Anomaly DetectionGraph Anomaly Detection

  10. Layerwise Tunable Lifting Scheme for the Convolutional Neural Network

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

  11. Population Ecology of Tunes

    Sep 8, 2026John M. McBride, Armand. M. LeroiCultural EvolutionPopulation Dynamics

  12. 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 OptimizationControl Architecture

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

    Sep 8, 2026Lenard DomeAttention LayersLinear Attention

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

    Aug 4, 2026Boyao Wang, Zhihan LeiMixture-Of-ExpertsLarge Language Model Routing

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

    Aug 4, 2026Linhan Xia, Rui Liu, Zhaofeng Zhang +3Multi-LoraPer-Node Correction

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

    Aug 1, 2026Yulong Ye, Miqing Li, Tao ChenTuningToken Budget Allocation

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

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

  18. Stacking the Deck: Tunable Trainability in Stacked LCUs

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

  19. 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 +1Robust ControlArtificial Intelligence Control

  20. A Unified Moral-Value Dataset for Instruction Tuning

    Jul 23, 2026Zhaohui Zeng, Florian MaiInstruction TuningMoral Reasoning

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

    Jul 23, 2026Shiva Raj Pokhrel, Dipsan Bhattarai, Anwar WalidParameter-Efficient Fine-Tuning MethodsTuning

  22. Scalable Keyword Spotting via Modular Network Expansion

    Jul 22, 2026Viktor Khaymonenko, Dzmitry Saladukha, Aliaksei Rak +1Keyword SpottingParameter-Efficient Adaptation

  23. 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

  24. Formulation-Level Auto-Tuning for QUBO-Based Machine Learning: A Case Study Across Multiple Quantum-Inspired Annealers

    Jul 21, 2026Naoya Mizuki, Takahiro Katagiri, Daichi Mukunoki +1Quantum AnnealingQuadratic Unconstrained Binary Optimization

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

    Jul 19, 2026Luyu Qiu, Jianing Li, Hwanhee Kim +4Transformer ArchitecturesTask Arithmetic

  26. TopoTuner: Topological Finetuning of Large Language Models

    Jul 18, 2026Abdulkadir Erol, Yash Mahajan, Vepaul Hariprashad +4Model Fine-TuningTuning

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

    Jul 17, 2026Chao Jiang, Yulong Ye, Tao Chen +1Token Budget AllocationTuning

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

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

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

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

  30. 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 +2Cross-Topic Arabic Stance DetectionNatural Language Processing

  31. 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

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

    Jul 2, 2026Yehoshua Dissen, Joseph KeshetSelf-Supervised LearningParameter-Efficient Adaptation

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

    Jun 30, 2026Zhiyuan Yao, Zheren Fu, Zhixiao Zheng +3Multimodal Large Language ModelsLarge Language Model Hallucination

  34. Compiler-Driven Approximation Tuning for Hyperdimensional Computing

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

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

    Jun 19, 2026Yonghyun Kim, Junwon Lee, Haiwen Xia +2Text-To-MusicPreference Datasets

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

    Jun 19, 2026Robin Doerfler, Matthieu Kuntz, Clemens ZimmerCombustion ControlTuning

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

    Jun 18, 2026Asa Shepard, Jeannie AlbrechtCoding AgentsGuidance

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

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

  39. Constraint-aware Optimization in Auto-Tuning

    Jun 17, 2026Floris-Jan Willemsen, Stijn Heldens, Rob V. van Nieuwpoort +1Genetic AlgorithmsTuning

  40. Deep-Learning-Based Pixelated Microwave Filter Design and Characterization using Electro-Optical Electric-Field Measurements

    Jun 16, 2026Han Zhou, Richard Bannister, Caspar Pierce +9OpticalDeep Learning

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

    Jun 16, 2026Yuxiang Luo, Haonan Long, Chen Wang +6Model Fine-TuningTuning

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

    Jun 15, 2026Yonghyun Kim, Junwon Lee, Haiwen Xia +5Text-To-MusicSong Generation

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

    Jun 11, 2026Corinna Mandl, Siddharth Chaturvedi, Marcel van GervenPredator-Prey ModelsAgent-Based Model

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

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

  45. 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 ShuTuningRobust Control

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

    Jun 8, 2026Trapoom Ukarapol, Pakhapoom Sarapat, Nut ChukamphaengMultilingual Language ModelsTuning

  47. Parameter Tuning with Generalization Guarantees for GPU-Accelerated Linear Programming

    Jun 7, 2026Siddharth Prasad, Dravyansh SharmaLinear ProgrammingPrimal-Dual Methods

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

    Jun 5, 2026John Shim, Christoph Nuesslein, Sixu Zhou +3Abox Abduction ProblemFeet

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

    Jun 2, 2026Haoxuan Chen, Xianqin Liu, Jian-Fang HuVideo Temporal GroundingResidual Learning

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

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

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

    Jun 1, 2026Moses Charikar, Chirag Pabbaraju, Ambuj TewariConvex LossCurvature-Aware Spectral Framework

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

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

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

    May 31, 2026Yuejiao Wang, Zihao Ji, Pengfei Cai +6Song GenerationSynthesis

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

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