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References (21)

[1]
Spelling-out is not Straightforward: LLMs' Capability of Tokenization from Token to Characters
2025Tatsuya Hiraoka, Kentaro Inui
[2]
StochasTok: Improving Fine-Grained Subword Understanding in LLMs
2025Anya Sims, Thom Foster et al.
[3]
Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs
2025Jinyan Su, Jennifer Healey et al.
[4]
RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning
2025Zihan Wang, Kangrui Wang et al.
[5]
Towards Thinking-Optimal Scaling of Test-Time Compute for LLM Reasoning
2025Wenkai Yang, Shuming Ma et al.
[6]
Beyond Single-Task: Robust Multi-Task Length Generalization for LLMs
2025Yi Hu, Shijia Kang et al.
[7]
DeepSeek-R1 Thoughtology: Let's about LLM Reasoning
2025Sara Vera Marjanovic, Arkil Patel et al.
[8]
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
2025Adam Suma, Samuel Dauncey
[9]
Byte Latent Transformer: Patches Scale Better Than Tokens
2024Artidoro Pagnoni, Ramakanth Pasunuru et al.
[10]
Number Cookbook: Number Understanding of Language Models and How to Improve It
2024Haotong Yang, Yi Hu et al.
[11]
From Tokens to Words: On the Inner Lexicon of LLMs
2024Guy Kaplan, Matanel Oren et al.
[12]
Large Language Models Lack Understanding of Character Composition of Words
2024Andrew Shin, Kunitake Kaneko
[13]
Why Tabular Foundation Models Should Be a Research Priority
2024B. V. Breugel, M. Schaar
[14]
Case-Based or Rule-Based: How Do Transformers Do the Math?
2024Yi Hu, Xiaojuan Tang et al.
[15]
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey
2024Xi Fang, Weijie Xu et al.
[16]
Tokenization counts: the impact of tokenization on arithmetic in frontier LLMs
2024Aaditya K. Singh, DJ Strouse
[17]
LMentry: A Language Model Benchmark of Elementary Language Tasks
2022Avia Efrat, Or Honovich et al.
[18]
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
2022Mirac Suzgun, Nathan Scales et al.
[19]
Models In a Spelling Bee: Language Models Implicitly Learn the Character Composition of Tokens
2021Itay Itzhak, Omer Levy
[20]
BPE-Dropout: Simple and Effective Subword Regularization
2019Ivan Provilkov, Dmitrii Emelianenko et al.

Showing 20 of 21 references

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