:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Altıntaş, Gül Sena, Ehghaghi, Malikeh, Lester, Brian, Liu, Fengyuan, Zhao, Wanru, Ciccone, Marco, Raffel, Colin
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Machine Learning
Online Access:	https://arxiv.org/abs/2512.20757
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Butterfly Effect: Neural Network Training Trajectories Are Highly Sensitive to Initial Conditions
by: Kwok, Devin, et al.
Published: (2025)

Arcee's MergeKit: A Toolkit for Merging Large Language Models
by: Goddard, Charles, et al.
Published: (2024)

Realistic Evaluation of Model Merging for Compositional Generalization
by: Tam, Derek, et al.
Published: (2024)

Zero-Shot Multi-Lingual Speaker Verification in Clinical Trials
by: Akram, Ali, et al.
Published: (2024)

Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model
by: Deng, Haikang, et al.
Published: (2023)

Merging in a Bottle: Differentiable Adaptive Merging (DAM) and the Path from Averaging to Automation
by: Gauthier-Caron, Thomas, et al.
Published: (2024)

Merging by Matching Models in Task Parameter Subspaces
by: Tam, Derek, et al.
Published: (2023)

Position: The Most Expensive Part of an LLM should be its Training Data
by: Kandpal, Nikhil, et al.
Published: (2025)

AttriBoT: A Bag of Tricks for Efficiently Approximating Leave-One-Out Context Attribution
by: Liu, Fengyuan, et al.
Published: (2024)

ReTok: Replacing Tokenizer to Enhance Representation Efficiency in Large Language Model
by: Gu, Shuhao, et al.
Published: (2024)

TokMem: One-Token Procedural Memory for Large Language Models
by: Wu, Zijun, et al.
Published: (2025)

MorphTok: Morphologically Grounded Tokenization for Indian Languages
by: Brahma, Maharaj, et al.
Published: (2025)

Thunder-Tok: Minimizing Tokens per Word in Tokenizing Korean Texts for Generative Language Models
by: Cho, Gyeongje, et al.
Published: (2025)

SupraTok: Cross-Boundary Tokenization for Enhanced Language Model Performance
by: Tănase, Andrei-Valentin, et al.
Published: (2025)

FineInstructions: Scaling Synthetic Instructions to Pre-Training Scale
by: Patel, Ajay, et al.
Published: (2026)

DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows
by: Patel, Ajay, et al.
Published: (2024)

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning
by: Zhang, Tunyu, et al.
Published: (2025)

LoopFormer: Elastic-Depth Looped Transformers for Latent Reasoning via Shortcut Modulation
by: Jeddi, Ahmadreza, et al.
Published: (2026)

ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and Quantization
by: Yadav, Prateek, et al.
Published: (2023)

Efficient Model Editing with Task-Localized Sparse Fine-tuning
by: Iurada, Leonardo, et al.
Published: (2025)

Specialised or Generic? Tokenization Choices for Radiology Language Models
by: Warr, Hermione, et al.
Published: (2025)

The Appeal and Reality of Recycling LoRAs with Adaptive Merging
by: Liu, Haokun, et al.
Published: (2026)

Adapting Language Models via Token Translation
by: Feng, Zhili, et al.
Published: (2024)

TokAlign: Efficient Vocabulary Adaptation via Token Alignment
by: Li, Chong, et al.
Published: (2025)

Towards Universal Semantics With Large Language Models
by: Baartmans, Raymond, et al.
Published: (2025)

Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Models
by: Pan, Bowen, et al.
Published: (2024)

TokAlign++: Advancing Vocabulary Adaptation via Better Token Alignment
by: Li, Chong, et al.
Published: (2026)

Scaling Data-Constrained Language Models
by: Muennighoff, Niklas, et al.
Published: (2023)

Efficiently Estimating Data Efficiency for Language Model Fine-tuning
by: Je, Gyung Hyun, et al.
Published: (2025)

Problematic Tokens: Tokenizer Bias in Large Language Models
by: Yang, Jin, et al.
Published: (2024)

S3Eval: A Synthetic, Scalable, Systematic Evaluation Suite for Large Language Models
by: Lei, Fangyu, et al.
Published: (2023)

TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation
by: Lin, Haokun, et al.
Published: (2025)

Attacks on Third-Party APIs of Large Language Models
by: Zhao, Wanru, et al.
Published: (2024)

Simul-LLM: A Framework for Exploring High-Quality Simultaneous Translation with Large Language Models
by: Agostinelli, Victor, et al.
Published: (2023)

DynTok: Dynamic Compression of Visual Tokens for Efficient and Effective Video Understanding
by: Zhang, Hongzhi, et al.
Published: (2025)

Broken Tokens? Your Language Model can Secretly Handle Non-Canonical Tokenizations
by: Zheng, Brian Siyuan, et al.
Published: (2025)

The Impact of Token Granularity on the Predictive Power of Language Model Surprisal
by: Oh, Byung-Doh, et al.
Published: (2024)

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

BeaverTalk: Oregon State University's IWSLT 2025 Simultaneous Speech Translation System
by: Raffel, Matthew, et al.
Published: (2025)

Simultaneous Masking, Not Prompting Optimization: A Paradigm Shift in Fine-tuning LLMs for Simultaneous Translation
by: Raffel, Matthew, et al.
Published: (2024)