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Bibliographic Details
Main Authors:	Yang, Zhihan, Wei, Jiaqi, Zhang, Xiang, Dong, Haoyu, Wang, Yiwen, Guo, Xiaoke, Zhang, Pengkun, Xu, Yiwei, You, Chenyu
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2601.11311
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Tokenization Constraints in LLMs: A Study of Symbolic and Arithmetic Reasoning Limits
by: Zhang, Xiang, et al.
Published: (2025)

MachineLearningLM: Scaling Many-shot In-context Learning via Continued Pretraining
by: Dong, Haoyu, et al.
Published: (2025)

Latte: Transfering LLMs` Latent-level Knowledge for Few-shot Tabular Learning
by: Shi, Ruxue, et al.
Published: (2025)

TimeSeriesScientist: A General-Purpose AI Agent for Time Series Analysis
by: Zhao, Haokun, et al.
Published: (2025)

Counting Ability of Large Language Models and Impact of Tokenization
by: Zhang, Xiang, et al.
Published: (2024)

Making Large Vision Language Models to be Good Few-shot Learners
by: Liu, Fan, et al.
Published: (2024)

EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records
by: Shi, Wenqi, et al.
Published: (2024)

SlideGen: Collaborative Multimodal Agents for Scientific Slide Generation
by: Liang, Xin, et al.
Published: (2025)

Making Pre-trained Language Models Great on Tabular Prediction
by: Yan, Jiahuan, et al.
Published: (2024)

Why Prompt Design Matters and Works: A Complexity Analysis of Prompt Search Space in LLMs
by: Zhang, Xiang, et al.
Published: (2025)

Ex-Omni: Enabling 3D Facial Animation Generation for Omni-modal Large Language Models
by: Zhang, Haoyu, et al.
Published: (2026)

What Makes Good Few-shot Examples for Vision-Language Models?
by: Guo, Zhaojun, et al.
Published: (2024)

FILP-3D: Enhancing 3D Few-shot Class-incremental Learning with Pre-trained Vision-Language Models
by: Xu, Wan, et al.
Published: (2023)

Few-shot Online Anomaly Detection and Segmentation
by: Wei, Shenxing, et al.
Published: (2024)

Rich Semantic Knowledge Enhanced Large Language Models for Few-shot Chinese Spell Checking
by: Dong, Ming, et al.
Published: (2024)

TablePilot: Recommending Human-Preferred Tabular Data Analysis with Large Language Models
by: Yi, Deyin, et al.
Published: (2025)

Bi-Adapt: Few-shot Bimanual Adaptation for Novel Categories of 3D Objects via Semantic Correspondence
by: Zhou, Jinxian, et al.
Published: (2026)

Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning
by: Guo, Yanhui, et al.
Published: (2024)

Unlocking Temporal Flexibility: Neural Speech Codec with Variable Frame Rate
by: Zhang, Hanglei, et al.
Published: (2025)

Empathy Omni: Enabling Empathetic Speech Response Generation through Large Language Models
by: Wang, Haoyu, et al.
Published: (2025)

Large Language Models are Few-shot Multivariate Time Series Classifiers
by: Chen, Yakun, et al.
Published: (2025)

Summarize-Exemplify-Reflect: Data-driven Insight Distillation Empowers LLMs for Few-shot Tabular Classification
by: Yuan, Yifei, et al.
Published: (2025)

UniAudio 1.5: Large Language Model-driven Audio Codec is A Few-shot Audio Task Learner
by: Yang, Dongchao, et al.
Published: (2024)

When to Think, When to Speak: Learning Disclosure Policies for LLM Reasoning
by: Wei, Jiaqi, et al.
Published: (2026)

Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs
by: Yu, Jianxiang, et al.
Published: (2023)

Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models
by: Shi, Fobo, et al.
Published: (2023)

DrugLLM: Open Large Language Model for Few-shot Molecule Generation
by: Liu, Xianggen, et al.
Published: (2024)

Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot
by: Cheng, Xiang, et al.
Published: (2025)

AHAMask: Reliable Task Specification for Large Audio Language Models without Instructions
by: Guo, Yiwei, et al.
Published: (2025)

Few-shot Object Localization
by: Ren, Yunhan, et al.
Published: (2024)

Random-Forest-Induced Graph Neural Networks for Tabular Learning
by: Chen, Haozhe, et al.
Published: (2026)

RFOD: Random Forest-based Outlier Detection for Tabular Data
by: Ang, Yihao, et al.
Published: (2025)

BoostLLM: Boosting-inspired LLM Fine-tuning for Few-shot Tabular Classification
by: Wang, Yi-Siang, et al.
Published: (2026)

Benchmarking Large Language Models for Zero-shot and Few-shot Phishing URL Detection
by: Hasan, Najmul, et al.
Published: (2026)

The Few-shot Dilemma: Over-prompting Large Language Models
by: Tang, Yongjian, et al.
Published: (2025)

TAVP: Task-Adaptive Visual Prompt for Cross-domain Few-shot Segmentation
by: Yang, Jiaqi, et al.
Published: (2024)

CLIP-guided Prototype Modulating for Few-shot Action Recognition
by: Wang, Xiang, et al.
Published: (2023)

Seed Hijacking of LLM Sampling and Quantum Random Number Defense
by: You, Ziyang, et al.
Published: (2026)

Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction
by: Liu, Tong, et al.
Published: (2024)

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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