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Bibliographic Details
Main Authors:	Strobl, Lena, Angluin, Dana, Frank, Robert
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2503.22076
Tags:	Add Tag No Tags, Be the first to tag this record!

Transformers as Transducers
by: Strobl, Lena, et al.
Published: (2024)

Simulating Hard Attention Using Soft Attention
by: Yang, Andy, et al.
Published: (2024)

Constructing Concise Characteristic Samples for Acceptors of Omega Regular Languages
by: Angluin, Dana, et al.
Published: (2022)

Masked Hard-Attention Transformers Recognize Exactly the Star-Free Languages
by: Yang, Andy, et al.
Published: (2023)

Transformers Can Do Bayesian Inference
by: Müller, Samuel, et al.
Published: (2021)

Can GNNs Learn Link Heuristics? A Concise Review and Evaluation of Link Prediction Methods
by: Liang, Shuming, et al.
Published: (2024)

Reasoning Models Sometimes Output Illegible Chains of Thought
by: Jose, Arun
Published: (2025)

Can Transformers Do Enumerative Geometry?
by: Hashemi, Baran, et al.
Published: (2024)

Why Less is More (Sometimes): A Theory of Data Curation
by: Dohmatob, Elvis, et al.
Published: (2025)

Transformers Can Do Arithmetic with the Right Embeddings
by: McLeish, Sean, et al.
Published: (2024)

A Single-Layer Model Can Do Language Modeling
by: Wang, Zanmin
Published: (2026)

Learning Causally Predictable Outcomes from Psychiatric Longitudinal Data
by: Strobl, Eric V.
Published: (2025)

Global Interpretability via Automated Preprocessing: A Framework Inspired by Psychiatric Questionnaires
by: Strobl, Eric V.
Published: (2026)

(Sometimes) Less is More: Mitigating the Complexity of Rule-based Representation for Interpretable Classification
by: Bergamin, Luca, et al.
Published: (2025)

Provable Knowledge Acquisition and Extraction in One-Layer Transformers
by: Xu, Ruichen, et al.
Published: (2025)

What One Cannot, Two Can: Two-Layer Transformers Provably Represent Induction Heads on Any-Order Markov Chains
by: Ekbote, Chanakya, et al.
Published: (2025)

Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?
by: Kim, Jeonghye, et al.
Published: (2026)

One-Layer Transformer Provably Learns One-Nearest Neighbor In Context
by: Li, Zihao, et al.
Published: (2024)

Probabilistic Graphical Models: A Concise Tutorial
by: Maasch, Jacqueline, et al.
Published: (2025)

Sometimes I am a Tree: Data Drives Unstable Hierarchical Generalization
by: Qin, Tian, et al.
Published: (2024)

Alternative Loss Function in Evaluation of Transformer Models
by: Michańków, Jakub, et al.
Published: (2025)

Diversity of Transformer Layers: One Aspect of Parameter Scaling Laws
by: Kamigaito, Hidetaka, et al.
Published: (2025)

A Concise Review of Hallucinations in LLMs and their Mitigation
by: Pulkundwar, Parth, et al.
Published: (2025)

LayerMatch: Do Pseudo-labels Benefit All Layers?
by: Liang, Chaoqi, et al.
Published: (2024)

Adaptation Odyssey in LLMs: Why Does Additional Pretraining Sometimes Fail to Improve?
by: Öncel, Fırat, et al.
Published: (2024)

Multi-Layer Transformers Gradient Can be Approximated in Almost Linear Time
by: Liang, Yingyu, et al.
Published: (2024)

ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models
by: Dumitru, Razvan-Gabriel, et al.
Published: (2025)

Probabilistic Robustness in Deep Learning: A Concise yet Comprehensive Guide
by: Zhao, Xingyu
Published: (2025)

mlr3summary: Concise and interpretable summaries for machine learning models
by: Dandl, Susanne, et al.
Published: (2024)

Model Checking for Reinforcement Learning in Autonomous Driving: One Can Do More Than You Think!
by: Gu, Rong
Published: (2024)

HomeAdam: Adam and AdamW Algorithms Sometimes Go Home to Obtain Better Provable Generalization
by: Huang, Feihu, et al.
Published: (2026)

SIMformer: Single-Layer Vanilla Transformer Can Learn Free-Space Trajectory Similarity
by: Yang, Chuang, et al.
Published: (2024)

Extracting Root-Causal Brain Activity Driving Psychopathology from Resting State fMRI
by: Strobl, Eric V.
Published: (2026)

FairPFN: Transformers Can do Counterfactual Fairness
by: Robertson, Jake, et al.
Published: (2024)

Metacognitive Reuse: Turning Recurring LLM Reasoning Into Concise Behaviors
by: Didolkar, Aniket, et al.
Published: (2025)

A Concise Mathematical Description of Active Inference in Discrete Time
by: van Oostrum, Jesse, et al.
Published: (2024)

Tabular Foundation Models Can Do Survival Analysis
by: Kim, Da In, et al.
Published: (2026)

MAUNet-Light: A Concise MAUNet Architecture for Bias Correction and Downscaling of Precipitation Estimates
by: Sharma, Sumanta Chandra Mishra, et al.
Published: (2026)

Just One Layer Norm Guarantees Stable Extrapolation
by: Ziomek, Juliusz, et al.
Published: (2025)

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// 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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