Quantifying and Optimizing Simplicity via Polynomial Representations
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Tianren, Li, Xiangxin, Xiao, Minghao, Chen, Guanyu, Chen, Feng |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Reconciling In-Context and In-Weight Learning via Dual Representation Space Encoding
by: Chen, Guanyu, et al.
Published: (2026)
by: Chen, Guanyu, et al.
Published: (2026)
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
by: Zhang, Tianren, et al.
Published: (2024)
by: Zhang, Tianren, et al.
Published: (2024)
DeFacto: Counterfactual Thinking with Images for Enforcing Evidence-Grounded and Faithful Reasoning
by: Xu, Tianrun, et al.
Published: (2025)
by: Xu, Tianrun, et al.
Published: (2025)
BONSAI: Bayesian Optimization with Natural Simplicity and Interpretability
by: Daulton, Samuel, et al.
Published: (2026)
by: Daulton, Samuel, et al.
Published: (2026)
VALUE: Value-Aware Large Language Model for Query Rewriting via Weighted Trie in Sponsored Search
by: Zhang, Xiao, et al.
Published: (2025)
by: Zhang, Xiao, et al.
Published: (2025)
When Do Neural Networks Learn World Models?
by: Zhang, Tianren, et al.
Published: (2025)
by: Zhang, Tianren, et al.
Published: (2025)
Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning
by: Fan, Chongyu, et al.
Published: (2024)
by: Fan, Chongyu, et al.
Published: (2024)
Long-Term Interest Clock: Fine-Grained Time Perception in Streaming Recommendation System
by: Zhu, Yongchun, et al.
Published: (2025)
by: Zhu, Yongchun, et al.
Published: (2025)
Asymmetric Diffusion Recommendation Model
by: Zhu, Yongchun, et al.
Published: (2025)
by: Zhu, Yongchun, et al.
Published: (2025)
Quantified Linear and Polynomial Arithmetic Satisfiability via Template-based Skolemization
by: Chatterjee, Krishnendu, et al.
Published: (2024)
by: Chatterjee, Krishnendu, et al.
Published: (2024)
Consolidating Reinforcement Learning for Multimodal Discrete Diffusion Models
by: Ma, Tianren, et al.
Published: (2025)
by: Ma, Tianren, et al.
Published: (2025)
Breaking the Curse of Repulsion: Optimistic Distributionally Robust Policy Optimization for Off-Policy Generative Recommendation
by: Jiang, Jie, et al.
Published: (2026)
by: Jiang, Jie, et al.
Published: (2026)
Understanding Simplicity Bias towards Compositional Mappings via Learning Dynamics
by: Ren, Yi, et al.
Published: (2024)
by: Ren, Yi, et al.
Published: (2024)
Contextual Representation Anchor Network to Alleviate Selection Bias in Few-Shot Drug Discovery
by: Li, Ruifeng, et al.
Published: (2024)
by: Li, Ruifeng, et al.
Published: (2024)
A Compression Perspective on Simplicity Bias
by: Marty, Tom, et al.
Published: (2026)
by: Marty, Tom, et al.
Published: (2026)
Multi-modal Iterative and Deep Fusion Frameworks for Enhanced Passive DOA Sensing via a Green Massive H2AD MIMO Receiver
by: Bai, Jiatong, et al.
Published: (2024)
by: Bai, Jiatong, et al.
Published: (2024)
Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning
by: He, Yuting, et al.
Published: (2025)
by: He, Yuting, et al.
Published: (2025)
Energy-Efficient Thermal Comfort Control in Smart Buildings via Deep Reinforcement Learning
by: Gao, Guanyu, et al.
Published: (2019)
by: Gao, Guanyu, et al.
Published: (2019)
Medical Speech Symptoms Classification via Disentangled Representation
by: Wang, Jianzong, et al.
Published: (2024)
by: Wang, Jianzong, et al.
Published: (2024)
Towards LLM-based optimization compilers. Can LLMs learn how to apply a single peephole optimization? Reasoning is all LLMs need!
by: Fang, Xiangxin, et al.
Published: (2024)
by: Fang, Xiangxin, et al.
Published: (2024)
Quantifying Modality Contributions via Disentangling Multimodal Representations
by: Amit, Padegal, et al.
Published: (2025)
by: Amit, Padegal, et al.
Published: (2025)
Accelerate Scaling of LLM Finetuning via Quantifying the Coverage and Depth of Instruction Set
by: Wu, Chengwei, et al.
Published: (2025)
by: Wu, Chengwei, et al.
Published: (2025)
Unified Optimization of Source Weights and Transfer Quantities in Multi-Source Transfer Learning: An Asymptotic Framework
by: Zhang, Qingyue, et al.
Published: (2026)
by: Zhang, Qingyue, et al.
Published: (2026)
TrajTok: Technical Report for 2025 Waymo Open Sim Agents Challenge
by: Zhang, Zhiyuan, et al.
Published: (2025)
by: Zhang, Zhiyuan, et al.
Published: (2025)
Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation
by: Jia, Chengxing, et al.
Published: (2024)
by: Jia, Chengxing, et al.
Published: (2024)
Divide and Conquer: Object Co-occurrence Helps Mitigate Simplicity Bias in OOD Detection
by: Dai, Boyang, et al.
Published: (2026)
by: Dai, Boyang, et al.
Published: (2026)
From Sparsity to Simplicity: Enabling Simpler Sequential Replacements via Sparse Attention Distillation
by: Ren, Yuxin, et al.
Published: (2026)
by: Ren, Yuxin, et al.
Published: (2026)
LoRA-DA: Data-Aware Initialization for Low-Rank Adaptation via Asymptotic Analysis
by: Zhang, Qingyue, et al.
Published: (2025)
by: Zhang, Qingyue, et al.
Published: (2025)
OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination
by: Chen, Junzhe, et al.
Published: (2025)
by: Chen, Junzhe, et al.
Published: (2025)
On the Granular Representation of Fuzzy Quantifier-Based Fuzzy Rough Sets
by: Theerens, Adnan, et al.
Published: (2023)
by: Theerens, Adnan, et al.
Published: (2023)
On the Role of Language Representations in Auto-Bidding: Findings and Implications
by: Zhu, Guanyu, et al.
Published: (2026)
by: Zhu, Guanyu, et al.
Published: (2026)
EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving
by: Dou, Shihan, et al.
Published: (2025)
by: Dou, Shihan, et al.
Published: (2025)
Enhancing Safe and Controllable Protein Generation via Knowledge Preference Optimization
by: Wang, Yuhao, et al.
Published: (2025)
by: Wang, Yuhao, et al.
Published: (2025)
Retention Score: Quantifying Jailbreak Risks for Vision Language Models
by: Li, Zaitang, et al.
Published: (2024)
by: Li, Zaitang, et al.
Published: (2024)
Improving Out-of-Distribution Generalization of Trajectory Prediction for Autonomous Driving via Polynomial Representations
by: Yao, Yue, et al.
Published: (2024)
by: Yao, Yue, et al.
Published: (2024)
Multi-Adapter Representation Interventions via Energy Calibration
by: Yu, Manjiang, et al.
Published: (2026)
by: Yu, Manjiang, et al.
Published: (2026)
Diffusion Spectral Representation for Reinforcement Learning
by: Shribak, Dmitry, et al.
Published: (2024)
by: Shribak, Dmitry, et al.
Published: (2024)
Optimizing Decoding Paths in Masked Diffusion Models by Quantifying Uncertainty
by: Chen, Ziyu, et al.
Published: (2025)
by: Chen, Ziyu, et al.
Published: (2025)
A High-Dimensional Statistical Method for Optimizing Transfer Quantities in Multi-Source Transfer Learning
by: Zhang, Qingyue, et al.
Published: (2025)
by: Zhang, Qingyue, et al.
Published: (2025)
Quantifying Representation Reliability in Self-Supervised Learning Models
by: Park, Young-Jin, et al.
Published: (2023)
by: Park, Young-Jin, et al.
Published: (2023)
Similar Items
-
Reconciling In-Context and In-Weight Learning via Dual Representation Space Encoding
by: Chen, Guanyu, et al.
Published: (2026) -
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
by: Zhang, Tianren, et al.
Published: (2024) -
DeFacto: Counterfactual Thinking with Images for Enforcing Evidence-Grounded and Faithful Reasoning
by: Xu, Tianrun, et al.
Published: (2025) -
BONSAI: Bayesian Optimization with Natural Simplicity and Interpretability
by: Daulton, Samuel, et al.
Published: (2026) -
VALUE: Value-Aware Large Language Model for Query Rewriting via Weighted Trie in Sponsored Search
by: Zhang, Xiao, et al.
Published: (2025)