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### Cost Model | ||
|Publish Date|Title|Author|PDF|Code| | ||
| :---: | :---: | :---: | :---: | :---: | | ||
|**2024-11-13 17:45:59**|**The Impact of Social Value Orientation on Nash Equilibria of Two Player Quadratic Games**|Dan Calderone et.al.|[2411.08809v1](http://arxiv.org/abs/2411.08809v1)|null| | ||
|**2024-11-13 17:13:25**|**Zero-shot Cross-lingual Transfer Learning with Multiple Source and Target Languages for Information Extraction: Language Selection and Adversarial Training**|Nghia Trung Ngo et.al.|[2411.08785v1](http://arxiv.org/abs/2411.08785v1)|null| | ||
|**2024-11-13 17:12:47**|**Towards Fair and Efficient Public Transportation: A Bus Stop Model**|Martin Bullinger et.al.|[2411.08784v1](http://arxiv.org/abs/2411.08784v1)|null| | ||
|**2024-11-13 16:15:38**|**Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models**|Somanshu Singla et.al.|[2411.08733v1](http://arxiv.org/abs/2411.08733v1)|null| | ||
|**2024-11-13 16:10:14**|**Polymetis:Large Language Modeling for Multiple Material Domains**|Chao Huang et.al.|[2411.08728v1](http://arxiv.org/abs/2411.08728v1)|null| | ||
|**2024-11-13 14:53:03**|**Scaling Function Learning: A sparse aerodynamic data reconstruction method for generalizing aircraft shapes**|Haitao Lin et.al.|[2411.08662v1](http://arxiv.org/abs/2411.08662v1)|null| | ||
|**2024-11-13 14:42:32**|**Accelerating Quasi-Static Time Series Simulations with Foundation Models**|Alban Puech et.al.|[2411.08652v1](http://arxiv.org/abs/2411.08652v1)|null| | ||
|**2024-11-13 14:05:32**|**Robust Optimal Power Flow Against Adversarial Attacks: A Tri-Level Optimization Approach**|Saman Mazaheri Khamaneh et.al.|[2411.08618v1](http://arxiv.org/abs/2411.08618v1)|null| | ||
|**2024-11-13 13:30:03**|**Space-local memory in generalized master equations: Reaching the thermodynamic limit for the cost of a small lattice simulation**|Srijan Bhattacharyya et.al.|[2411.08598v1](http://arxiv.org/abs/2411.08598v1)|null| | ||
|**2024-11-13 09:47:00**|**A Cost-effective, Stand-alone, and Real-time TinyML-Based Gait Diagnosis Unit Aimed at Lower-limb Robotic Prostheses and Exoskeletons**|Zarin Anjum Madhiha et.al.|[2411.08474v1](http://arxiv.org/abs/2411.08474v1)|null| | ||
|**2024-11-13 08:57:59**|**LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing**|Xiaonan Nie et.al.|[2411.08446v1](http://arxiv.org/abs/2411.08446v1)|null| | ||
|**2024-11-13 08:56:35**|**Machine Unlearning on Pre-trained Models by Residual Feature Alignment Using LoRA**|Laiqiao Qin et.al.|[2411.08443v1](http://arxiv.org/abs/2411.08443v1)|null| | ||
|**2024-11-13 04:23:05**|**Neural Network Certification Informed Power System Transient Stability Preventive Control with Renewable Energy**|Tong Su et.al.|[2411.08329v1](http://arxiv.org/abs/2411.08329v1)|null| | ||
|**2024-11-13 02:45:21**|**R3HF: Reward Redistribution for Enhancing Reinforcement Learning from Human Feedback**|Jiahui Li et.al.|[2411.08302v1](http://arxiv.org/abs/2411.08302v1)|null| | ||
|**2024-11-13 02:41:02**|**DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach**|Xin Tang et.al.|[2411.08299v1](http://arxiv.org/abs/2411.08299v1)|null| | ||
|**2024-11-13 02:02:52**|**Hashing for Protein Structure Similarity Search**|Jin Han et.al.|[2411.08286v1](http://arxiv.org/abs/2411.08286v1)|null| | ||
|**2024-11-13 01:12:35**|**A Large-Scale Study of Relevance Assessments with Large Language Models: An Initial Look**|Shivani Upadhyay et.al.|[2411.08275v1](http://arxiv.org/abs/2411.08275v1)|null| | ||
|**2024-11-12 21:30:02**|**Computationally Efficient Machine-Learned Model for GST Phase Change Materials via Direct and Indirect Learning**|Owen R. Dunton et.al.|[2411.08194v1](http://arxiv.org/abs/2411.08194v1)|null| | ||
|**2024-11-12 20:05:30**|**Optimal Constant Climb Airspeed with Variable Cost Index for All-electric Aircraft**|Lucas Souza e Silva et.al.|[2411.08156v1](http://arxiv.org/abs/2411.08156v1)|null| | ||
|**2024-11-12 19:55:49**|**Design optimization of semiconductor manufacturing equipment using a novel multi-fidelity surrogate modeling approach**|Bingran Wang et.al.|[2411.08149v1](http://arxiv.org/abs/2411.08149v1)|null| | ||
|**2024-11-12 19:09:45**|**TIPO: Text to Image with Text Presampling for Prompt Optimization**|Shih-Ying Yeh et.al.|[2411.08127v1](http://arxiv.org/abs/2411.08127v1)|null| | ||
|**2024-11-12 18:57:59**|**Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data**|Juanhui Li et.al.|[2411.08028v1](http://arxiv.org/abs/2411.08028v1)|null| | ||
|**2024-11-12 17:25:15**|**Optimization Thresholding Problem**|Chutian Ma et.al.|[2411.07949v1](http://arxiv.org/abs/2411.07949v1)|null| | ||
|**2024-11-12 17:11:46**|**Towards Low-bit Communication for Tensor Parallel LLM Inference**|Harry Dong et.al.|[2411.07942v1](http://arxiv.org/abs/2411.07942v1)|null| | ||
|**2024-11-12 15:15:20**|**Verbosity $\neq$ Veracity: Demystify Verbosity Compensation Behavior of Large Language Models**|Yusen Zhang et.al.|[2411.07858v1](http://arxiv.org/abs/2411.07858v1)|[link](https://github.com/psunlpgroup/verbosityllm)| | ||
|**2024-11-12 14:36:06**|**Towards Vision Mixture of Experts for Wildlife Monitoring on the Edge**|Emmanuel Azuh Mensah et.al.|[2411.07834v1](http://arxiv.org/abs/2411.07834v1)|null| | ||
|**2024-11-12 14:12:45**|**Query Optimization for Parametric Knowledge Refinement in Retrieval-Augmented Large Language Models**|Youan Cong et.al.|[2411.07820v2](http://arxiv.org/abs/2411.07820v2)|null| | ||
|**2024-11-12 14:02:24**|**Spatial Competition on Psychological Pricing Strategies: Preliminary Evidence from an Online Marketplace**|Magdalena Schindl et.al.|[2411.07808v1](http://arxiv.org/abs/2411.07808v1)|null| | ||
|**2024-11-12 12:37:50**|**Optimizing Traffic Signal Control using High-Dimensional State Representation and Efficient Deep Reinforcement Learning**|Lawrence Francis et.al.|[2411.07759v1](http://arxiv.org/abs/2411.07759v1)|null| | ||
|**2024-11-12 09:28:55**|**Is Graph Convolution Always Beneficial For Every Feature?**|Yilun Zheng et.al.|[2411.07663v1](http://arxiv.org/abs/2411.07663v1)|null| |
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### Decsion Tree | ||
|Publish Date|Title|Author|PDF|Code| | ||
| :---: | :---: | :---: | :---: | :---: | | ||
|**2024-11-13 00:14:09**|**GPTree: Towards Explainable Decision-Making via LLM-powered Decision Trees**|Sichao Xiong et.al.|[2411.08257v1](http://arxiv.org/abs/2411.08257v1)|null| | ||
|**2024-11-07 06:12:38**|**GPT-Guided Monte Carlo Tree Search for Symbolic Regression in Financial Fraud Detection**|Prashank Kadam et.al.|[2411.04459v1](http://arxiv.org/abs/2411.04459v1)|null| | ||
|**2024-11-07 03:11:53**|**Statistical-Computational Trade-offs for Greedy Recursive Partitioning Estimators**|Yan Shuo Tan et.al.|[2411.04394v1](http://arxiv.org/abs/2411.04394v1)|null| | ||
|**2024-11-04 08:24:56**|**Causal Discovery and Classification Using Lempel-Ziv Complexity**| Dhruthi et.al.|[2411.01881v1](http://arxiv.org/abs/2411.01881v1)|[link](https://github.com/i-to-the-power-i/causal-lz-p-decision-tree)| | ||
|**2024-11-03 14:00:20**|**Decision Trees for Interpretable Clusters in Mixture Models and Deep Representations**|Maximilian Fleissner et.al.|[2411.01576v1](http://arxiv.org/abs/2411.01576v1)|null| | ||
|**2024-11-02 22:10:20**|**On the Value of Risk-Averse Multistage Stochastic Programming in Capacity Planning**|Xian Yu et.al.|[2411.01370v1](http://arxiv.org/abs/2411.01370v1)|null| | ||
|**2024-11-01 11:38:12**|**Outlier-Oriented Poisoning Attack: A Grey-box Approach to Disturb Decision Boundaries by Perturbing Outliers in Multiclass Learning**|Anum Paracha et.al.|[2411.00519v1](http://arxiv.org/abs/2411.00519v1)|null| | ||
|**2024-10-31 17:57:51**|**Zonal RL-RRT: Integrated RL-RRT Path Planning with Collision Probability and Zone Connectivity**|AmirMohammad Tahmasbi et.al.|[2410.24205v1](http://arxiv.org/abs/2410.24205v1)|[link](https://github.com/saleh-faghfoorian/rl-rrt-kdtree)| | ||
|**2024-10-30 19:03:33**|**On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games**|Zhiyuan Fan et.al.|[2410.23398v1](http://arxiv.org/abs/2410.23398v1)|null| | ||
|**2024-10-28 23:02:41**|**Deep Trees for (Un)structured Data: Tractability, Performance, and Interpretability**|Dimitris Bertsimas et.al.|[2410.21595v1](http://arxiv.org/abs/2410.21595v1)|null| | ||
|**2024-10-28 15:12:04**|**Dual-Agent Deep Reinforcement Learning for Dynamic Pricing and Replenishment**|Yi Zheng et.al.|[2410.21109v1](http://arxiv.org/abs/2410.21109v1)|null| | ||
|**2024-10-27 15:39:52**|**Improving Decision Sparsity**|Yiyang Sun et.al.|[2410.20483v1](http://arxiv.org/abs/2410.20483v1)|null| | ||
|**2024-10-25 16:49:11**|**Optimizing Hearthstone Agents using an Evolutionary Algorithm**|Pablo García-Sánchez et.al.|[2410.19681v1](http://arxiv.org/abs/2410.19681v1)|[link](https://github.com/fergunet/SabberStone)| | ||
|**2024-10-24 18:58:41**|**Inherently Interpretable Tree Ensemble Learning**|Zebin Yang et.al.|[2410.19098v1](http://arxiv.org/abs/2410.19098v1)|null| | ||
|**2024-10-24 18:12:03**|**Oracle Separations for the Quantum-Classical Polynomial Hierarchy**|Avantika Agarwal et.al.|[2410.19062v1](http://arxiv.org/abs/2410.19062v1)|null| | ||
|**2024-10-24 14:51:00**|**Arbitrary-arity Tree Automata and QCTL**|François Laroussinie et.al.|[2410.18799v2](http://arxiv.org/abs/2410.18799v2)|null| | ||
|**2024-10-21 21:19:49**|**RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space**|Jingdi Chen et.al.|[2410.16517v1](http://arxiv.org/abs/2410.16517v1)|null| | ||
|**2024-10-21 13:58:38**|**A New Approach to Solving SMAC Task: Generating Decision Tree Code from Large Language Models**|Yue Deng et.al.|[2410.16024v1](http://arxiv.org/abs/2410.16024v1)|[link](https://github.com/devindeng94/llm-smac)| | ||
|**2024-10-18 14:00:44**|**Enhancing Cryptocurrency Market Forecasting: Advanced Machine Learning Techniques and Industrial Engineering Contributions**|Jannatun Nayeem Pinky et.al.|[2410.14475v1](http://arxiv.org/abs/2410.14475v1)|null| | ||
|**2024-10-18 12:29:10**|**An explainable machine learning approach for energy forecasting at the household level**|Pauline Béraud et.al.|[2410.14416v1](http://arxiv.org/abs/2410.14416v1)|null| | ||
|**2024-10-18 11:05:52**|**Advancing Physics Data Analysis through Machine Learning and Physics-Informed Neural Networks**|Vasileios Vatellis et.al.|[2410.14760v1](http://arxiv.org/abs/2410.14760v1)|null| | ||
|**2024-10-15 09:53:24**|**Conditional Density Estimation with Histogram Trees**|Lincen Yang et.al.|[2410.11449v1](http://arxiv.org/abs/2410.11449v1)|[link](https://github.com/ylincen/CDTree)| | ||
|**2024-10-15 04:36:44**|**Unveiling Options with Neural Decomposition**|Mahdi Alikhasi et.al.|[2410.11262v1](http://arxiv.org/abs/2410.11262v1)|null| | ||
|**2024-10-15 03:36:43**|**Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning**|Jiayu Chen et.al.|[2410.11234v1](http://arxiv.org/abs/2410.11234v1)|null| | ||
|**2024-10-14 18:32:29**|**Generating Global and Local Explanations for Tree-Ensemble Learning Methods by Answer Set Programming**|Akihiro Takemura et.al.|[2410.11000v1](http://arxiv.org/abs/2410.11000v1)|[link](https://github.com/atakemura/treetap)| | ||
|**2024-10-14 14:17:52**|**Reproducible Machine Learning-based Voice Pathology Detection: Introducing the Pitch Difference Feature**|Jan Vrba et.al.|[2410.10537v1](http://arxiv.org/abs/2410.10537v1)|[link](https://github.com/aailab-uct/automated-robust-and-reproducible-voice-pathology-detection)| | ||
|**2024-10-11 15:01:47**|**Bank Loan Prediction Using Machine Learning Techniques**|F M Ahosanul Haque et.al.|[2410.08886v1](http://arxiv.org/abs/2410.08886v1)|null| | ||
|**2024-10-11 09:26:29**|**Finite Sample Complexity Analysis of Binary Segmentation**|Toby Dylan Hocking et.al.|[2410.08654v1](http://arxiv.org/abs/2410.08654v1)|[link](https://github.com/tdhock/binseg-model-selection)| | ||
|**2024-10-11 08:58:05**|**GAI-Enabled Explainable Personalized Federated Semi-Supervised Learning**|Yubo Peng et.al.|[2410.08634v1](http://arxiv.org/abs/2410.08634v1)|null| | ||
|**2024-10-09 10:13:44**|**Photometric Analysis for Predicting Star Formation Rates in Large Galaxies Using Machine Learning and Deep Learning Techniques**|Satvik Raghav et.al.|[2410.06736v1](http://arxiv.org/abs/2410.06736v1)|null| |
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### Query Optimization | ||
|Publish Date|Title|Author|PDF|Code| | ||
| :---: | :---: | :---: | :---: | :---: | | ||
|**2024-11-13 13:30:21**|**XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL**|Yingqi Gao et.al.|[2411.08599v1](http://arxiv.org/abs/2411.08599v1)|null| | ||
|**2024-11-13 08:43:37**|**Towards Optimizing a Retrieval Augmented Generation using Large Language Model on Academic Data**|Anum Afzal et.al.|[2411.08438v1](http://arxiv.org/abs/2411.08438v1)|null| | ||
|**2024-11-12 14:12:45**|**Query Optimization for Parametric Knowledge Refinement in Retrieval-Augmented Large Language Models**|Youan Cong et.al.|[2411.07820v2](http://arxiv.org/abs/2411.07820v2)|null| | ||
|**2024-11-12 04:25:31**|**Model Stealing for Any Low-Rank Language Model**|Allen Liu et.al.|[2411.07536v1](http://arxiv.org/abs/2411.07536v1)|null| | ||
|**2024-11-11 16:31:02**|**Improved Greedy Identification of Latent Dynamics with Application to Fluid Flows**|R. Ayoub et.al.|[2411.08071v1](http://arxiv.org/abs/2411.08071v1)|null| | ||
|**2024-11-11 11:08:26**|**CapeLLM: Support-Free Category-Agnostic Pose Estimation with Multimodal Large Language Models**|Junho Kim et.al.|[2411.06869v1](http://arxiv.org/abs/2411.06869v1)|null| | ||
|**2024-11-11 08:18:49**|**HSTrack: Bootstrap End-to-End Multi-Camera 3D Multi-object Tracking with Hybrid Supervision**|Shubo Lin et.al.|[2411.06780v1](http://arxiv.org/abs/2411.06780v1)|null| | ||
|**2024-11-10 11:08:28**|**SequentialBreak: Large Language Models Can be Fooled by Embedding Jailbreak Prompts into Sequential Prompt Chains**|Bijoy Ahmed Saiem et.al.|[2411.06426v1](http://arxiv.org/abs/2411.06426v1)|null| | ||
|**2024-11-10 06:10:34**|**One Attack to Rule Them All: Tight Quadratic Bounds for Adaptive Queries on Cardinality Sketches**|Edith Cohen et.al.|[2411.06370v1](http://arxiv.org/abs/2411.06370v1)|null| | ||
|**2024-11-09 19:01:34**|**Knowledge Authoring with Factual English, Rules, and Actions**|Yuheng Wang et.al.|[2411.06253v1](http://arxiv.org/abs/2411.06253v1)|null| | ||
|**2024-11-09 01:04:48**|**TourSynbio-Search: A Large Language Model Driven Agent Framework for Unified Search Method for Protein Engineering**|Yungeng Liu et.al.|[2411.06024v1](http://arxiv.org/abs/2411.06024v1)|[link](https://github.com/tsynbio/Toursynbio-Search)| | ||
|**2024-11-08 13:51:37**|**Why These Documents? Explainable Generative Retrieval with Hierarchical Category Paths**|Sangam Lee et.al.|[2411.05572v1](http://arxiv.org/abs/2411.05572v1)|null| | ||
|**2024-11-07 18:40:17**|**VAIR: Visuo-Acoustic Implicit Representations for Low-Cost, Multi-Modal Transparent Surface Reconstruction in Indoor Scenes**|Advaith V. Sethuraman et.al.|[2411.04963v1](http://arxiv.org/abs/2411.04963v1)|null| | ||
|**2024-11-07 14:05:57**|**Quantum Speedup for Polar Maximum Likelihood Decoding**|Shintaro Fujiwara et.al.|[2411.04727v1](http://arxiv.org/abs/2411.04727v1)|null| | ||
|**2024-11-07 08:31:01**|**GenJoin: Conditional Generative Plan-to-Plan Query Optimizer that Learns from Subplan Hints**|Pavel Sulimov et.al.|[2411.04525v1](http://arxiv.org/abs/2411.04525v1)|null| | ||
|**2024-11-06 23:47:54**|**Towards Optimizing SQL Generation via LLM Routing**|Mohammadhossein Malekpour et.al.|[2411.04319v1](http://arxiv.org/abs/2411.04319v1)|null| | ||
|**2024-11-06 16:41:41**|**Instance-Optimal Acyclic Join Processing Without Regret: Engineering the Yannakakis Algorithm in Column Stores**|Liese Bekkers et.al.|[2411.04042v1](http://arxiv.org/abs/2411.04042v1)|null| | ||
|**2024-11-06 09:20:40**|**Optimal prefix-suffix queries with applications**|Solon P. Pissis et.al.|[2411.03784v1](http://arxiv.org/abs/2411.03784v1)|null| | ||
|**2024-11-06 04:12:42**|**Quantum Programmable Reflections**|Eddie Schoute et.al.|[2411.03648v1](http://arxiv.org/abs/2411.03648v1)|null| | ||
|**2024-11-05 16:50:54**|**Discovering Data Structures: Nearest Neighbor Search and Beyond**|Omar Salemohamed et.al.|[2411.03253v1](http://arxiv.org/abs/2411.03253v1)|null| | ||
|**2024-11-05 15:40:53**|**Online Data Collection for Efficient Semiparametric Inference**|Shantanu Gupta et.al.|[2411.03195v1](http://arxiv.org/abs/2411.03195v1)|[link](https://github.com/shantanu95/online-moment-selection)| | ||
|**2024-11-05 07:10:00**|**The Unreasonable Effectiveness of LLMs for Query Optimization**|Peter Akioyamen et.al.|[2411.02862v1](http://arxiv.org/abs/2411.02862v1)|[link](https://github.com/peter-ai/LLMSteer)| | ||
|**2024-11-05 02:16:23**|**An information-matching approach to optimal experimental design and active learning**|Yonatan Kurniawan et.al.|[2411.02740v1](http://arxiv.org/abs/2411.02740v1)|null| | ||
|**2024-11-04 16:34:50**|**Tolerant Quantum Junta Testing**|Zhaoyang Chen et.al.|[2411.02244v1](http://arxiv.org/abs/2411.02244v1)|null| | ||
|**2024-11-04 14:23:07**|**Optimizing AoI at Query in Multiuser Wireless Uplink Networks: A Whittle Index Approach**|Jingwei Liu et.al.|[2411.02108v4](http://arxiv.org/abs/2411.02108v4)|null| | ||
|**2024-11-04 00:39:52**|**Computational Lower Bounds for Regret Minimization in Normal-Form Games**|Ioannis Anagnostides et.al.|[2411.01721v1](http://arxiv.org/abs/2411.01721v1)|null| | ||
|**2024-11-03 00:20:40**|**Near-Optimal Relative Error Streaming Quantile Estimation via Elastic Compactors**|Elena Gribelyuk et.al.|[2411.01384v1](http://arxiv.org/abs/2411.01384v1)|null| | ||
|**2024-11-02 10:50:22**|**MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step**|Takeshi Noda et.al.|[2411.01208v1](http://arxiv.org/abs/2411.01208v1)|null| | ||
|**2024-11-01 17:11:16**|**CORAG: A Cost-Constrained Retrieval Optimization System for Retrieval-Augmented Generation**|Ziting Wang et.al.|[2411.00744v1](http://arxiv.org/abs/2411.00744v1)|null| | ||
|**2024-11-01 16:36:14**|**Token-level Proximal Policy Optimization for Query Generation**|Yichen Ouyang et.al.|[2411.00722v1](http://arxiv.org/abs/2411.00722v1)|null| |
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