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Bibliographic Details
Main Authors:	Wang, Tianchun, Liu, Zichuan, Chen, Yuanzhou, Light, Jonathan, Liu, Weiyang, Chen, Haifeng, Zhang, Xiang, Cheng, Wei
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2502.11027
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DISC: Dynamic Decomposition Improves LLM Inference Scaling
by: Light, Jonathan, et al.
Published: (2025)

Diversified Scaling Inference in Time Series Foundation Models
by: Hua, Ruijin, et al.
Published: (2026)

Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection
by: Zeng, Cong, et al.
Published: (2025)

Sample-efficient LLM Optimization with Reset Replay
by: Liu, Zichuan, et al.
Published: (2025)

Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks
by: Zheng, Xu, et al.
Published: (2023)

Parametric Augmentation for Time Series Contrastive Learning
by: Zheng, Xu, et al.
Published: (2024)

TDRM: Smooth Reward Models with Temporal Difference for LLM RL and Inference
by: Zhang, Dan, et al.
Published: (2025)

SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search
by: Li, Dong, et al.
Published: (2025)

Explaining Time Series via Contrastive and Locally Sparse Perturbations
by: Liu, Zichuan, et al.
Published: (2024)

TimeX++: Learning Time-Series Explanations with Information Bottleneck
by: Liu, Zichuan, et al.
Published: (2024)

Dataset Distillation for Offline Reinforcement Learning
by: Light, Jonathan, et al.
Published: (2024)

DALD: Improving Logits-based Detector without Logits from Black-box LLMs
by: Zeng, Cong, et al.
Published: (2024)

POET-X: Memory-efficient LLM Training by Scaling Orthogonal Transformation
by: Qiu, Zeju, et al.
Published: (2026)

Efficient Traffic Forecasting on Large-Scale Road Network by Regularized Adaptive Graph Convolution
by: Wu, Kaiqi, et al.
Published: (2025)

DOS: Diverse Outlier Sampling for Out-of-Distribution Detection
by: Jiang, Wenyu, et al.
Published: (2023)

LMCache: An Efficient KV Cache Layer for Enterprise-Scale LLM Inference
by: Liu, Yuhan, et al.
Published: (2025)

Flipping Against All Odds: Reducing LLM Coin Flip Bias via Verbalized Rejection Sampling
by: Xiao, Tim Z., et al.
Published: (2025)

Interpretable Imitation Learning with Dynamic Causal Relations
by: Zhao, Tianxiang, et al.
Published: (2023)

GraphSparseNet: a Novel Method for Large Scale Traffic Flow Prediction
by: Kong, Weiyang, et al.
Published: (2025)

D3: Diversity, Difficulty, and Dependability-Aware Data Selection for Sample-Efficient LLM Instruction Tuning
by: Zhang, Jia, et al.
Published: (2025)

Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets
by: Liu, Zhen, et al.
Published: (2024)

PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making
by: Light, Jonathan, et al.
Published: (2024)

Optimal Pricing for Data-Augmented AutoML Marketplaces
by: Han, Minbiao, et al.
Published: (2023)

MetaColloc: Optimization-Free PDE Solving via Meta-Learned Basis Functions
by: Yang, Zichuan
Published: (2026)

TimeXL: Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop
by: Jiang, Yushan, et al.
Published: (2025)

MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees
by: Liu, Zichuan, et al.
Published: (2022)

PAC Learnability under Explanation-Preserving Graph Perturbations
by: Zheng, Xu, et al.
Published: (2024)

CORGI: GNNs with Convolutional Residual Global Interactions for Lagrangian Simulation
by: Ji, Ethan, et al.
Published: (2025)

The Lifecycle Principle: Stabilizing Dynamic Neural Networks with State Memory
by: Yang, Zichuan
Published: (2025)

Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
by: Xia, Yifan, et al.
Published: (2024)

PIPCFR: Pseudo-outcome Imputation with Post-treatment Variables for Individual Treatment Effect Estimation
by: Lin, Zichuan, et al.
Published: (2025)

ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models
by: Zeng, Chao, et al.
Published: (2024)

RetroInfer: A Vector Storage Engine for Scalable Long-Context LLM Inference
by: Chen, Yaoqi, et al.
Published: (2025)

Towards Universal Debiasing for Language Models-based Tabular Data Generation
by: Li, Tianchun, et al.
Published: (2025)

What Matters in LLM-generated Data: Diversity and Its Effect on Model Fine-Tuning
by: Zhu, Yuchang, et al.
Published: (2025)

Model Merging with Functional Dual Anchors
by: Shi, Kexuan, et al.
Published: (2025)

Orthogonal Model Merging
by: Yang, Sihan, et al.
Published: (2026)

Where's the liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content
by: Bai, Haoyue, et al.
Published: (2025)

OptScale: Probabilistic Optimality for Inference-time Scaling
by: Wang, Youkang, et al.
Published: (2025)

if (filemtime($filename) + $maxlifetime < time()) { unlink($filename); $count++; } } return $count; } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ protected function saveSession($sessId, $data): bool { $sessFile = $this->path . '/sess_' . $sessId; if ($handle = fopen($sessFile, 'w')) { $return = false; // Lock the file for exclusive access to avoid issues with multiple // processes writing session simultaneously: if (flock($handle, LOCK_EX)) { $return = fwrite($handle, $data); // Make sure that there's no trailing data by truncating the file to // the correct length: ftruncate($handle, strlen($data)); fflush($handle); flock($handle, LOCK_UN); } fclose($handle); if ($return !== false) { return true; } } // If we got this far, something went wrong with the file output... // It is tempting to throw an exception here, but this code is called // outside of the context of exception handling, so all we can do is // echo a message.

// Anecdotal testing Today and Yesterday seems to indicate destroy() // is called by the garbage collector and everything is good. // Something to keep in mind though. return 0; } /** * Write function that is called when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ public function write($sessId, $data): bool { if ($this->writesDisabled) { return true; } return $this->saveSession($sessId, $data); } /** * A function that is called internally when session data is to be saved. * * @param string $sessId The current session ID * @param string $data The session data to write * * @return bool */ abstract protected function saveSession($sessId, $data): bool; }

* * @return void */ public function writeClose() { // The assumption is that we're using PHP's ext/session. // session_write_close() will actually overwrite $_SESSION with an // empty array on completion -- which leads to a mismatch between what // is in the storage object and $_SESSION. To get around this, we // temporarily reset $_SESSION to an array, and then re-link it to // the storage object. // // Additionally, while you _can_ write to $_SESSION following a // session_write_close() operation, no changes made to it will be // flushed to the session handler. As such, we now mark the storage // object isImmutable. $storage = $this->getStorage(); if (! $storage->isImmutable()) { $_SESSION = $storage->toArray(true); session_write_close(); $storage->fromArray($_SESSION); $storage->markImmutable(); } } /** * Attempt to set the session name * * If the session has already been started, or if the name provided fails * validation, an exception will be raised. * * @param string $name * @return SessionManager * @throws Exception\InvalidArgumentException */ public function setName($name) { if ($this->sessionExists()) { throw new Exception\InvalidArgumentException( 'Cannot set session name after a session has already started'

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