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Editors: Rebekka Burkholz, Shiwei Liu, Saiprasad Ravishankar, William Redman, Wei Huang, Weijie Su, Zhihui Zhu
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Semantic Homogeneity As Demonstration: Batch-Structured Semi-Supervised In-Context Learning for Natural Language Understanding
; Conference on Parsimony and Learning, PMLR 328:1-23
Improving Medical Visual Reinforcement Fine-Tuning via Perception and Reasoning Augmentation
Guangjing Yang, ZhangYuan Yu, Ziyuan Qin, Xinyuan Song, Huahui Yi, Qingbo Kang, Jun Gao, Yiyue Li, Chenlin Du, Qicheng Lao; Conference on Parsimony and Learning, PMLR 328:24-41
ROSE: Reordered SparseGPT for More Accurate One-Shot Large Language Models Pruning
Mingluo Su, Huan Wang; Conference on Parsimony and Learning, PMLR 328:42-60
AlphaFormer: End-to-End Symbolic Regression of Alpha Factors with Transformers
Haotong Huang, Jie Peng, Zezhen Ding, Pingzhi Li, Tianlong Chen; Conference on Parsimony and Learning, PMLR 328:61-82
From sparse recovery to plug-and-play priors, understanding trade-offs for stable recovery with generalized projected gradient descent
Ali Joundi, Yann Traonmilin, Jean-François Aujol; Conference on Parsimony and Learning, PMLR 328:83-103
Panza: Investigating the Feasibility of Fully-Local Personalized Text Generation
Armand Mihai Nicolicioiu, Eugenia Iofinova, Andrej Jovanovic, Eldar Kurtic, Mahdi Nikdan, Andrei Panferov, Ilia Markov, Nir N Shavit, Dan Alistarh; Conference on Parsimony and Learning, PMLR 328:104-130
Enhancing Low-Cost Video Editing with Lightweight Adaptors and Temporal-Aware Inversion
Yangfan He, Sida Li, Jianhui Wang, Xinyuan Song, Kun Li, Xinhang Yuan, Kuan Lu, Menghao Huo, Jingqun Tang, Yi Xin, Jiaqi Chen, Keqin Li, Miao Zhang, Xueqian Wang; Conference on Parsimony and Learning, PMLR 328:131-163
SPIKE: Sparse Koopman Regularization for Physics-Informed Neural Networks
Jose Marie Antonio Miñoza; Conference on Parsimony and Learning, PMLR 328:164-191
Cannistraci-Hebb Training with N:M Semi-Structured Sparsity for Pre-Training and Re-Training
Jiaqing Lyu, Ruijie Wang, Kangyou Bao, Yingtao Zhang, Carlo Vittorio Cannistraci; Conference on Parsimony and Learning, PMLR 328:192-217
Lattice-Based Vector Quantization for Low-Bit Quantization-Aware Training
Rishika Kohli, Soma S Dhavala, Shaifu Gupta, Manoj Singh Gaur; Conference on Parsimony and Learning, PMLR 328:218-241
ShapLoRA: Allocation of Low-rank Adaption on Large Language Models via Shapley Value Inspired Importance Estimation
Colin Zhao, Qinghua Yao, Xinyuan Song, Wei Zhu; Conference on Parsimony and Learning, PMLR 328:242-264
LLMQ: Efficient Lower-Precision LLM Training for Consumer GPUs
Erik Schultheis, Dan Alistarh; Conference on Parsimony and Learning, PMLR 328:265-284
Parameter-Efficient Distributional RL via Normalizing Flows and a Geometry-Aware Cramér Surrogate
Simo Alami Chehboune, Rim Kaddah, Marie-Paule CANI, Jesse Read; Conference on Parsimony and Learning, PMLR 328:285-313
Analyzing and Mitigating Model Collapse in Reflow Methods
Huminhao Zhu, Fangyikang Wang, Tianyu Ding, Qing Qu, Zhihui Zhu; Conference on Parsimony and Learning, PMLR 328:314-340
Stochastic Unrolled Neural Networks
Samar Hadou, Navid NaderiAlizadeh, Alejandro Ribeiro; Conference on Parsimony and Learning, PMLR 328:341-359
Prompt Stability Matters: Evaluating and Optimizing Auto-Generated Prompt in General-Purpose Systems
Ke Chen, Xucheng Yu, Yufei Zhou, Haohan Wang; Conference on Parsimony and Learning, PMLR 328:360-374
Symbiotic Cooperation for Web Agents: Harnessing Complementary Strengths of Large and Small LLMs
Ruichen Zhang, Mufan Qiu, Zhen Tan, Mohan Zhang, Xiaopeng Lu, Jie Peng, Kaidi Xu, Leandro Z. Agudelo, Peter Zhenghao Qian, Tianlong Chen; Conference on Parsimony and Learning, PMLR 328:375-427
Matrix Sensing with Kernel Optimal Loss: Robustness and Optimization Landscape
Xinyuan Song, Ziye Ma; Conference on Parsimony and Learning, PMLR 328:428-500
Pruned Adaptation Modules: A Simple yet Strong Baseline for Continual Foundation Models
Elif Ceren Gok Yildirim, Murat Onur Yildirim, Joaquin Vanschoren; Conference on Parsimony and Learning, PMLR 328:501-515
Token-Aware Representation Augmentation for Fine-Grained Semi-Supervised Learning
Hongyang He, Yan Zhong, Xinyuan Song, Daizong Liu, Victor Sanchez; Conference on Parsimony and Learning, PMLR 328:516-528
MMA:Benchmarking Multi-ModalLarge Language Models in Ambiguity Contexts
Ru Wang, Selena Song, Yuquan Wang, Liang Ding, Mingming Gong, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo; Conference on Parsimony and Learning, PMLR 328:529-551
Optimal $k$-Discretization Learning
Tong Wang, Zhangyang Wang; Conference on Parsimony and Learning, PMLR 328:552-564
Deep Neural Regression Collapse
Akshay Rangamani, Altay Unal; Conference on Parsimony and Learning, PMLR 328:565-581
Beyond In-Distribution Success: Scaling Curves of CoT Granularity for Language Model Generalization
Ru Wang, Wei Huang, Selena Song, Haoyu Zhang, Qian Niu, Yusuke Iwasawa, Yutaka Matsuo, Jiaxian Guo; Conference on Parsimony and Learning, PMLR 328:582-611
Learning in the Null Space: Small Singular Values for Continual Learning
Cuong Anh Pham, Praneeth Vepakomma, Samuel Horváth; Conference on Parsimony and Learning, PMLR 328:612-628
(PASS) Visual Prompt Locates Good Structure Sparsity through a Recurrent HyperNetwork
Tianjin Huang, Yong Tao, Meng Fang, Li Shen, Fan Liu, Yulong Pei, Mykola Pechenizkiy, Tianlong Chen; Conference on Parsimony and Learning, PMLR 328:629-643
Sparsity-Aware Prompt Tuning: A Simple and Effective Way to Fine-tune High-Sparsity LLMs
Yuxin Zhang, Weizhong Huang, Yuexiao Ma, Yunshan Zhong, Xiawu Zheng, Rongrong Ji; Conference on Parsimony and Learning, PMLR 328:644-657
Scalable LLM Reasoning Acceleration with Low-rank Distillation
Harry Dong, Bilge Acun, Beidi Chen, Yuejie Chi; Conference on Parsimony and Learning, PMLR 328:658-675
FocusDC: Real-World Scene Infusion for Robust Dataset Condensation
Youbing Hu, Yun Cheng, Olga Saukh, Firat Ozdemir, Anqi Lu, Zhiqiang Cao, Min Zhang, Zhijun Li; Conference on Parsimony and Learning, PMLR 328:676-697
ERC-SVD: Error-Controlled SVD for Large Language Model Compression
Haolei Bai, Siyong Jian, Tuo Liang, Yu Yin, Huan Wang; Conference on Parsimony and Learning, PMLR 328:698-719
Can Less Be More? Benchmarking Lightweight Models Against State-of-the-Art Deep Learning Architectures for Deployable Seizure Detection
Isaiah Essien, Donna-lee Ginsberg, Jesse Thornburg; Conference on Parsimony and Learning, PMLR 328:720-734
Beyond Greedy Decoding: Model-Specific Strategy Selection via Multi-faceted Uncertainty Decomposition
Kwangje Baeg, Yubin Lim; Conference on Parsimony and Learning, PMLR 328:735-755
Superclass-Guided Representation Disentanglement for Spurious Correlation Mitigation
Chenruo Liu, Hongjun Liu, Zeyu Lai, Yiqiu Shen, Chen Zhao, Qi Lei; Conference on Parsimony and Learning, PMLR 328:756-794
Dynamic SFT with Structured Measurements: Fast Queries, Fast Updates, Provable Guarantees
Yang Cao, Zhao Song; Conference on Parsimony and Learning, PMLR 328:795-825
Byzantine-Robust Optimization under $(L_0,L_1)$-Smoothness
Arman Bolatov, Samuel Horváth, Martin Takáč, Eduard Gorbunov; Conference on Parsimony and Learning, PMLR 328:826-854
Effective Learning for Small Reasoning Models: An Empirical Study on 0.5B Reasoning LLMs
Xialie Zhuang, Peixian MA, Zhikai Jia, Zane Cao, Shiwei Liu; Conference on Parsimony and Learning, PMLR 328:855-869
Learning of Discretized LSTMs
Nikolaus Kopp, Franz Pernkopf; Conference on Parsimony and Learning, PMLR 328:870-880
GRAIL: Post-hoc Compensation by Linear Reconstruction for Compressed Networks
Wenwu Tang, Dong Wang, Lothar Thiele, Olga Saukh; Conference on Parsimony and Learning, PMLR 328:881-895
Trainable Bitwise Soft Quantization for Input Feature Compression
Karsten Schrödter, Jan Stenkamp, Nina Herrmann, Fabian Gieseke; Conference on Parsimony and Learning, PMLR 328:896-920
A Stein identity for $q$-Gaussians with bounded support
Sophia Sklaviadis, Thomas Möllenhoff, Mario A. T. Figueiredo, Andre Martins, Mohammad Emtiyaz Khan; Conference on Parsimony and Learning, PMLR 328:921-939
Concept based Ambiguity Resolution in LLMs
Zhibo Hu, Chen Wang, Yanfeng Shu, Hye-young Paik, Liming Zhu; Conference on Parsimony and Learning, PMLR 328:940-956
Simplex Deep Linear Discriminant Analysis
Maxat Tezekbayev, Arman Bolatov, Zhenisbek Assylbekov; Conference on Parsimony and Learning, PMLR 328:957-967
Emergence of Auditory Receptive Fields based on Surprise
Yashaswin Yashaswini, Sneha Dash, Sharba Bandyopadhyay; Conference on Parsimony and Learning, PMLR 328:968-988
KNIGHT: Knowledge Graph-Driven Multiple-Choice Question Generation with Adaptive Hardness Calibration
Mohammad Amanlou, Erfan Shafiee Moghaddam, Mahdi Nouri, Yasaman Amou Jafary, Farhan Farsi, Behnam Bahrak; Conference on Parsimony and Learning, PMLR 328:989-1024
Teaching LLMs According to Their Aptitude: Adaptive Switching Between CoT and TIR for Mathematical Problem Solving
Xin Xu, Yan Xu, Tianhao Chen, Yuchen Yan, Chengwu Liu, Zaoyu Chen, Yufei Wang, Yichun Yin, Yasheng Wang, Qun Liu, Lu Yin; Conference on Parsimony and Learning, PMLR 328:1025-1048
Sparse Mixture-of-Experts for Compositional Generalization: Empirical Evidence and Theoretical Foundations of Optimal Sparsity
Jinze Zhao, Peihao Wang, Junjie Yang, Ruisi Cai, Gaowen Liu, Jayanth Srinivasa, Ramana Rao Kompella, Yingbin Liang, Zhangyang Wang; Conference on Parsimony and Learning, PMLR 328:1049-1071
Data-Efficient and Robust Trajectory Generation through Pathlet Dictionary Learning
yuanbo tang, Yan Tang, Zihui Zhao, Zixuan Zhang, Yang Li; Conference on Parsimony and Learning, PMLR 328:1072-1089
SonoEdit: Null-Space Constrained Knowledge Editing for Pronunciation Correction in LLM-Based TTS
Ayush Pratap Singh, Harshit Singh, Nityanand Mathur, Akshat Mandloi, Sudarshan Kamath; Conference on Parsimony and Learning, PMLR 328:1090-1100
FLIPR: FLexible and Interpretable Prediction Regions for time series
Eshant English, Christoph Lippert; Conference on Parsimony and Learning, PMLR 328:1101-1111
Enhancing Long-Context Inference with Context-Position Duo-Mixture
Zhenyu Zhang, Sharath Nittur Sridhar, Zhangyang Wang, Souvik Kundu; Conference on Parsimony and Learning, PMLR 328:1112-1124
Generalized Radius and Integrated Codebook Transforms for Differentiable Vector Quantization
Haochen You, Heng Zhang, Hongyang He, Yuqi Li, Baojing Liu; Conference on Parsimony and Learning, PMLR 328:1125-1160
Selective Collaboration for Robust Federated Learning
Nazarii Tupitsa, Samuel Horváth, Martin Takáč, Eduard Gorbunov; Conference on Parsimony and Learning, PMLR 328:1161-1194
What Scalable Second-Order Information Knows for Pruning at Initialization
Ivo Gollini Navarrete, Nicolas Mauricio Cuadrado, Martin Takáč, Samuel Horváth; Conference on Parsimony and Learning, PMLR 328:1195-1227
Efficient Temporal Consistency in Diffusion-Based Video Editing with Adaptor Modules: A Theoretical Framework
Xinyuan Song, Yangfan He, Sida Li, Jianhui Wang, Hongyang He, Xinhang Yuan, Ruoyu Wang, Jiaqi Chen, Keqin Li, Kuan Lu, Menghao Huo, Ziqian Bi, Binxu Li, Pei Liu; Conference on Parsimony and Learning, PMLR 328:1228-1250
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