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Bibliographic Details
Main Authors:	Mahowald, Kyle, Ivanova, Anna A., Blank, Idan A., Kanwisher, Nancy, Tenenbaum, Joshua B., Fedorenko, Evelina
Format:	Preprint
Published:	2023
Subjects:	Computation and Language Artificial Intelligence
Online Access:	https://arxiv.org/abs/2301.06627
Tags:	Add Tag No Tags, Be the first to tag this record!

Log Probabilities Are a Reliable Estimate of Semantic Plausibility in Base and Instruction-Tuned Language Models
by: Kauf, Carina, et al.
Published: (2024)

Language models align with human judgments on key grammatical constructions
by: Hu, Jennifer, et al.
Published: (2024)

Code-enabled language models can outperform reasoning models on diverse tasks
by: Zhang, Cedegao E., et al.
Published: (2025)

Visual Grounding Helps Learn Word Meanings in Low-Data Regimes
by: Zhuang, Chengxu, et al.
Published: (2023)

Representational Curvature Modulates Behavioral Uncertainty in Large Language Models
by: King, Jack, et al.
Published: (2026)

Different types of syntactic agreement recruit the same units within large language models
by: Kryvosheieva, Daria, et al.
Published: (2025)

Lexicon-Level Contrastive Visual-Grounding Improves Language Modeling
by: Zhuang, Chengxu, et al.
Published: (2024)

What do language models model? Transformers, automata, and the format of thought
by: Klein, Colin
Published: (2025)

Emergent Introspection in AI is Content-Agnostic
by: Lederman, Harvey, et al.
Published: (2026)

The Counterexample Game: Iterated Conceptual Analysis and Repair in Language Models
by: Drucker, Daniel, et al.
Published: (2026)

What can large language models do for sustainable food?
by: Thomas, Anna T., et al.
Published: (2025)

A survey of textual cyber abuse detection using cutting-edge language models and large language models
by: Diaz-Garcia, Jose A., et al.
Published: (2025)

On the attribution of confidence to large language models
by: Keeling, Geoff, et al.
Published: (2024)

Representation in large language models
by: Yetman, Cameron
Published: (2025)

AI-AI Bias: large language models favor communications generated by large language models
by: Laurito, Walter, et al.
Published: (2024)

Testing AI on language comprehension tasks reveals insensitivity to underlying meaning
by: Dentella, Vittoria, et al.
Published: (2023)

Uncovering inequalities in new knowledge learning by large language models across different languages
by: Wang, Chenglong, et al.
Published: (2025)

Failure of contextual invariance in large language models
by: Kumar, Sagar, et al.
Published: (2026)

Optimizing watermarks for large language models
by: Wouters, Bram
Published: (2023)

Alignment faking in large language models
by: Greenblatt, Ryan, et al.
Published: (2024)

Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently
by: Misra, Kanishka, et al.
Published: (2024)

Decrypting Cryptic Crosswords: Semantically Complex Wordplay Puzzles as a Target for NLP
by: Rozner, Josh, et al.
Published: (2021)

Language Models Fail to Introspect About Their Knowledge of Language
by: Song, Siyuan, et al.
Published: (2025)

Causal Interventions Reveal Shared Structure Across English Filler-Gap Constructions
by: Boguraev, Sasha, et al.
Published: (2025)

Can large language models build causal graphs?
by: Long, Stephanie, et al.
Published: (2023)

Response: Emergent analogical reasoning in large language models
by: Hodel, Damian, et al.
Published: (2023)

Quantifying non deterministic drift in large language models
by: Nicholson, Claire
Published: (2026)

Multi-round jailbreak attack on large language models
by: Zhou, Yihua, et al.
Published: (2024)

The 20 questions game to distinguish large language models
by: Richardeau, Gurvan, et al.
Published: (2024)

A systematic review of trial-matching pipelines using large language models
by: Morrison, Braxton A., et al.
Published: (2025)

Benchmarking large language models for biomedical natural language processing applications and recommendations
by: Chen, Qingyu, et al.
Published: (2023)

Medical large language models are easily distracted
by: Vishwanath, Krithik, et al.
Published: (2025)

Large language models can learn and generalize steganographic chain-of-thought under process supervision
by: Skaf, Joey, et al.
Published: (2025)

Just-in-time and distributed task representations in language models
by: Li, Yuxuan, et al.
Published: (2025)

To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning
by: Sprague, Zayne, et al.
Published: (2024)

Assessment and manipulation of latent constructs in pre-trained language models using psychometric scales
by: Reuben, Maor, et al.
Published: (2024)

Long-form factuality in large language models
by: Wei, Jerry, et al.
Published: (2024)

Can large language models explore in-context?
by: Krishnamurthy, Akshay, et al.
Published: (2024)

Emergence of psychopathological computations in large language models
by: Lee, Soo Yong, 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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