Redundancy

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Period ending 2026-09-14

1 new paper

A weekly snapshot of new work published in Redundancy.

Period ending 2026-09-07

3 new papers

A weekly snapshot of new work published in Redundancy.

82 papers

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Forward-Free LLM Depth Pruning via Weight Redundancy
Sep 9, 2026Vincent-Daniel Yun, Woosang LimMagnitude-Based Pruning Large Language Model Compression
Beyond Small Patches: Black-Box Detection and Purification of Diverse Backdoor Triggers
Sep 2, 2026Ahmed Abdelnaby, Mohamed ElmahallawyBackdoor Attacks Unsupervised Detectors
Escaping Redundant Reasoning: Structure-Aware Search for Inference-Time LLMs
Sep 1, 2026Lu ChengInference-Time Reasoning Paths
Fewer Tokens, Smaller Cache: Reward-Coordinated Efficient Reasoning
Aug 5, 2026Qiyuan Zhu, Dezhi Li, Pengyu Cheng +8Large Reasoning Models Process Reward Modeling
The Order Is the Guarantee: Verifier-Budgeted Code Deletion with Static-First Learned Proposals
Aug 5, 2026Ruitong Li, Binjie Guo, Aisheng Mo +4Redundancy Frontier Models
HALT: Verification-Aware Stopping for Retrieval-Augmented Search Agents
Aug 3, 2026Daeyoung Roh, Donghee HanSearch Agents Agentic Search
RADAR: Rubric-Aware Dependency and Redundancy Analysis for LLM-as-Judge Evaluation
Aug 3, 2026Divyansh Singh, Reza Davari, Afra MashhadiRubrics Llm-As-A-Judge
3DZip: Spatial-Aware Feature Diversity-Guided Token Compression for 3D Question Answering
Aug 2, 2026Changwoo Baek, Kyeongbo KongToken Compression Redundancy
Tri-Space Operational Control of Redundant Multilink and Hybrid Cable-Driven Parallel Robots Using an Iterative-Learning based Reactive Approach
Jul 31, 2026Dipankar Bhattacharya, Yin Pok Chan, Siqi Shang +3Robotic Manipulator Reactive
EvoThink: Evolving Thinking in Large Reasoning Models via Self-Pruning and Aha-Moment Preference Optimization
Jul 22, 2026Xinbang Dai, Zheyu Xin, Huikang Hu +7Large Reasoning Models Inference-Time
CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents
Jul 20, 2026Mingwei Zheng, David OBrien, Siwei Cui +4Coding Agents Memory-Augmented Large Language Models
TRIM: Reducing AI-Generated CodeSlop via Agent Trajectory Minimization
Jul 20, 2026Alex Mathai, Shobini Iyer, Aleksandr Nogikh +4AI Code Generation Redundancy
Capacity and Redundancy Trade-offs in Multi-Task Learning
Jul 17, 2026Asif KhanMulti--Task Learning Redundancy
Local Redundancy: An Information-Theoretic Measure of Plasticity from Synthetic Memorization
Jul 15, 2026Jiaxuan ChengPlasticity Singular Learning Theory
Reducing Temporal Redundancy for Efficient Vision-Language-Action Inference
Jul 14, 2026Yuzhou Wu, Yuxin Zheng, Muchun Niu +6Diffusion-Based Vision-Language-Actions Vision-Language-Action
Adaptive Diversity-Uncertainty Active Learning with Redundancy Control for Bioacoustic Event Classification
Jul 6, 2026Gabriel Dubus, Hugo Magaldi, Anatole Gros-MartialActive Learning Acoustic Sensing
Combating Textual Noise and Redundancy: Entropy-Aware Dense Visual Token Pruning
Jul 2, 2026Xuehui Wang, Xuankun Yang, Wei ShenVisual Token Pruning Redundancy
Revisiting Parameter Redundancy in Vision-Language-Action Models: Insights from VLM-to-VLA Adaptation
Jun 30, 2026Fengnian Zhang, Tao Huang, Siyu Xu +2Diffusion-Based Vision-Language-Actions Vision-Language-Action
How much of an LLM-generated clinical corpus is actually new? A production-scale measurement of content redundancy for provenance classification
Jun 28, 2026Ali H. Lazem, William J. TeahanCorpus Redundancy
When One Adapter Speaks for Many: Discovering Low-Rank Redundancy in Continual Fine-Tuning
Jun 26, 2026Tanguy Dieudonné, Giulia Lanzillotta, Enis Simsar +2Low-Rank Adapters Finetuning
Drop-Then-Recovery: How Redundant Are Vision-Language-Action Models?
Jun 26, 2026Guoheng Sun, Kaixi Feng, Shwai He +8Vision-Language-Action Robotic Manipulation
Reducing Redundancy in Whole-Slide Image Patching for Scalable Indexing and Retrieval
Jun 23, 2026Jialiang Geng, Ghazal Alabtah, Saghir Alfasly +2Whole-Slide Image Analysis Digital Pathology
Data Pruning: Redundant, Problematic, and Interdependent Samples
Jun 20, 2026Leon Freese, Marthinus W. TheunissenStructured Pruning Noisy Labels
CalVerT: Augmenting Agents with Calibrated Verifier Telemetry Improves Action and Learning in Knowledge-Intensive Tasks
Jun 19, 2026Ashwin Vinod, Ying Ding, Elias Stengel-EskinMultivariate Telemetry Data Redundancy
Factual Retrieval in LLMs Is a Redundant, Distributed and Non-Contiguous Process
Jun 19, 2026Hail Hochman, Natalie Shapira, Yoav GoldbergRedundancy
On the Redundancy of Timestep Embeddings in Diffusion Models
Jun 18, 2026José A. ChávezDiffusion Transformers Diffusion Models
Task-Restricted Symmetries in Recurrent Weight Space
Jun 16, 2026Simon DrägerRecurrent Neural Networks Weight-Space
RegimeVGGT: Layer-Wise Spatially Preserving Redundancy Removal for Visual Geometry Grounded Transformer
Jun 16, 2026Jinhao You, Shuo Lyu, Zhuohang Lyu +5Visual Geometry Grounded Transformer Self-Supervised Vision Transformers
Reducing Learner Redundancy in Boosting via Residual Orthogonalization
Jun 16, 2026Ye Su, Jipeng Guo, Yong Liu +5Residual Learning Orthogonality
Emergent retokenization symmetry in large language models: phenomenology and applications
Jun 14, 2026Kanishk Jain, Matthew Day, Tankut CanCompositionality Redundancy
EgoGuide: Egocentric Guidance for Efficient Robot-Free Demonstration Collection and Learning
Jun 12, 2026Yue Xu, Mingtao Nie, Tianle Li +4Robotic Data Acquisition Egocentric Vision
Discovery under Hypothesis Redundancy: A Geometric Theory of Discovery Bottlenecks
Jun 12, 2026Li Xia, Baoxun WangHypothesis Generation Stochastic Exploration
MemRefine: LLM-Guided Compression for Long-Term Agent Memory
Jun 11, 2026Minjae Kim, Jinheon Baek, Soyeong Jeong +1Long-Term Model and Context Compression
DyCon: Dynamic Reasoning Control via Evolving Difficulty Modeling
Jun 5, 2026Tengyao Tu, Yulin Li, Hui-Ling Zhen +6Large Reasoning Models Dynawm
MMLongEmbed: Benchmarking Multimodal Embedding Models in Long-Context Scenarios
Jun 5, 2026Haitian Wang, Ruoxi Sun, Quantong Qiu +5Multimodal Embeddings Multimodal Memory
Adaptive Tokenisation Via Temporal Redundancy Masking And Latent Inpainting
Jun 4, 2026Kevin Dave, Sai Aditya Patkuri, Chhaya Kumar Das +3Token Compression Temporal Attention
Geometry-Aware Implicit Memory for Video World Models
Jun 1, 2026Zhengxuan Wei, Xu Guo, Xinghui Li +8Geometry-Aware Scene Understanding
Where to Refine, When to Stop: Rethinking Redundancy via Latent Discrepancy for Efficient Visual Autoregressive Generation
May 29, 2026Changwang Mei, Peisong Wang, Zekun Li +7Autoregressive Image Generation Visual Autoregressive Models
SLAT: Segment-Level Adaptive Trimming for Efficient CoT Reasoning
May 29, 2026Jian Yao, Xiongcai Luo, Ran Cheng +1Large Reasoning Models Chain-Of-Thought
Probing the Prompt KV Cache: Where It Becomes Dispensable
May 28, 2026Vinayshekhar Bannihatti Kumar, Manoj Ghuhan Arivazhagan, Disha Makhija +1Key-Value Cache Compression Key-Value Cache
Redundant or Necessary? A Benchmark for Detecting Redundant Steps in Agent Trajectories
May 28, 2026Minyang Hu, Bo Yang, Zhinuo Zhou +4Agentic Benchmarks Redundancy
The Good, the Bad, and the Ugly of Markov Boundary for Tabular Prediction
May 28, 2026Shu Wan, Abhinav Gorantla, Huan Liu +1Causal Discovery Boundaries
Beyond pass@k: Redundancy-Aware RLVR for Multi-Sample Code Generation
May 27, 2026Le Bronnec Florian, Alexandre Verine, Rio Yokota +1AI Code Generation Redundancy
Locality-Aware Redundancy Pruning for LLM Depth Compression
May 27, 2026Vincent-Daniel Yun, Youngrae Kim, Woosang Lim +3Large Language Model Compression Redundancy
Multi-Agent Coordination Adaptation via Structure-Guided Orchestration
May 25, 2026Haoran Li, Shulun Chen, Shaoyuan Sun +1Multi-Agent Coordination Coordination
Selective Latent Thinking: Adaptive Compression of LLM Reasoning Chains
May 25, 2026Hui Xie, Jie Liu, Ziyue Qiao +1Latent Reasoning LLM Reasoning Methods
Motion-Compensated Weight Compression
May 23, 2026Ismail LamaakalConvolutional Neural Network Compression Model Weights
Learning to Reason Efficiently with A* Post-Training
May 23, 2026Andreas Opedal, Francesco Ignazio Re, Abulhair Saparov +3LLM Reasoning Methods Natural Language Inference
UniSpike: Accelerating Spiking Neural Networks on Neuromorphic Systems via Eliminating Address Redundancy
May 22, 2026Qinghui Xing, Zhuo Chen, Xin Du +6Spiking Neural Networks Neuromorphic Hardware
FAST-ME: Foundation-aware Adaptive Stopping for Motion Estimation for Efficient IoT Video Analysis
May 22, 2026Kakia Panagidi, Stathes HadjieftymiadisMotion Estimation Early Stopping
Replacement Learning: Training Neural Networks with Fewer Parameters
May 19, 2026Yuming Zhang, Peizhe Wang, Tianyang Han +5Backpropagation Training Time
Stop When Reasoning Converges: Semantic-Preserving Early Exit for Reasoning Models
May 17, 2026Dehai Min, Giovanni Vaccarino, Huiyi Chen +3Large Reasoning Models Early Stopping
No Free Swap: Protocol-Dependent Layer Redundancy in Transformers
May 15, 2026Gabriel GarciaAblation Redundancy
XOResNet: Exclusive-OR Meta-Residuals Facilitate Deep Spiking Neural Networks Learning
May 15, 2026Jianfang Wu, Junsong WangSpiking Neural Networks Neuromorphic Hardware
Spectral structural distortion reveals redundant neurons in neural networks
May 14, 2026Yongyu WangConvolutional Neural Network Compression Redundancy
R2R2: Robust Representation for Intensive Experience Reuse via Redundancy Reduction in Self-Predictive Learning
May 13, 2026Sanghyeob Song, Donghyeok Lee, Jinsik Kim +1Representation Learning Redundancy
BlitzGS: City-Scale Gaussian Splatting at Lightning Speed
May 13, 2026Zhongtao Wang, Huishan Au, Yilong Li +63D Gaussian Splatting 3D Gaussian Splatting
ReVision: Scaling Computer-Use Agents via Temporal Visual Redundancy Reduction
May 11, 2026Amirhossein Abaskohi, Yuhang He, Peter West +3Computer-Use Agents Multimodal Agents
EchoPrune: Interpreting Redundancy as Temporal Echoes for Efficient VideoLLMs
May 11, 2026Jiameng Li, Minye Wu, Jiezhang Cao +2Video Large Language Models Visual Token Pruning
Not All Tokens Need 40 Steps: Heterogeneous Step Allocation in Diffusion Transformers for Efficient Video Generation
May 7, 2026Ernie Chu, Vishal M. PatelVideo Diffusion Models Diffusion Transformers

Sep 9, 2026 · cs.LGJ/K move · Enter open · S save

Forward-Free LLM Depth Pruning via Weight Redundancy

Vincent-Daniel Yun, Woosang Lim

Depth pruning reduces large language model (LLM) inference cost by removing complete Transformer blocks. Activation-based methods collect hidden states through forward passes on calibration data, while existing forward-free methods score each Transformer block separately without measuring similarity between blocks. We propose Weight-Redundancy Pruning (WRP), a forward-free depth-pruning method that estimates inter-layer redundancy from checkpoint weights to select blocks without calibration data or model forward passes. WRP compares attention output and MLP down-projection weights across layers and combines their pairwise similarities with relative projection-scale information. The resulting all-pairs similarity matrix guides layer grouping and block selection. Across multiple pruning settings, model families, and downstream tasks, WRP consistently outperforms existing forward-free magnitude pruning and approaches the performance of activation-based methods.

Magnitude-Based Pruning Large Language Model Compression Redundancy Weight Active Learning

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