:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Pfeiffer, Jonas, Ruder, Sebastian, Vulić, Ivan, Ponti, Edoardo Maria
Format:	Preprint
Published:	2023
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2302.11529
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Training Plug-n-Play Knowledge Modules with Deep Context Distillation
by: Caccia, Lucas, et al.
Published: (2025)

Emergent Communication Pretraining for Few-Shot Machine Translation
by: Li, Yaoyiran, et al.
Published: (2020)

Scaling Sparse Fine-Tuning to Large Language Models
by: Ansell, Alan, et al.
Published: (2024)

The Sparse Frontier: Sparse Attention Trade-offs in Transformer LLMs
by: Nawrot, Piotr, et al.
Published: (2025)

Modular Multi-Task Learning for Chemical Reaction Prediction
by: Pang, Jiayun, et al.
Published: (2026)

Zero-Shot Tokenizer Transfer
by: Minixhofer, Benjamin, et al.
Published: (2024)

Universal Cross-Tokenizer Distillation via Approximate Likelihood Matching
by: Minixhofer, Benjamin, et al.
Published: (2025)

Specialising and Analysing Instruction-Tuned and Byte-Level Language Models for Organic Reaction Prediction
by: Pang, Jiayun, et al.
Published: (2024)

Towards Modular LLMs by Building and Reusing a Library of LoRAs
by: Ostapenko, Oleksiy, et al.
Published: (2024)

Self-Augmented In-Context Learning for Unsupervised Word Translation
by: Li, Yaoyiran, et al.
Published: (2024)

On the Independence Assumption in Neurosymbolic Learning
by: van Krieken, Emile, et al.
Published: (2024)

Adapting Time Series Foundation Models through Data Mixtures
by: Lee, Thomas L., et al.
Published: (2026)

A Discriminative Latent-Variable Model for Bilingual Lexicon Induction
by: Ruder, Sebastian, et al.
Published: (2018)

DARE: Diverse Visual Question Answering with Robustness Evaluation
by: Sterz, Hannah, et al.
Published: (2024)

Neurosymbolic Diffusion Models
by: van Krieken, Emile, et al.
Published: (2025)

Neurosymbolic Reasoning Shortcuts under the Independence Assumption
by: van Krieken, Emile, et al.
Published: (2025)

Probing the Emergence of Cross-lingual Alignment during LLM Training
by: Wang, Hetong, et al.
Published: (2024)

On Bilingual Lexicon Induction with Large Language Models
by: Li, Yaoyiran, et al.
Published: (2023)

Inference-Time Hyper-Scaling with KV Cache Compression
by: Łańcucki, Adrian, et al.
Published: (2025)

The Cancellation Hypothesis in Critic-Free RL: From Outcome Rewards to Token Credits
by: Cheng, Tianhao, et al.
Published: (2026)

AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning
by: Zhou, Han, et al.
Published: (2023)

Agentic Policy Optimization via Instruction-Policy Co-Evolution
by: Zhou, Han, et al.
Published: (2025)

Improving Word Translation via Two-Stage Contrastive Learning
by: Li, Yaoyiran, et al.
Published: (2022)

LLM See, LLM Do: Guiding Data Generation to Target Non-Differentiable Objectives
by: Shimabucoro, Luísa, et al.
Published: (2024)

Model Merging by Uncertainty-Based Gradient Matching
by: Daheim, Nico, et al.
Published: (2023)

Improving Bilingual Lexicon Induction with Cross-Encoder Reranking
by: Li, Yaoyiran, et al.
Published: (2022)

Graph data augmentation with Gromow-Wasserstein Barycenters
by: Ponti, Andrea
Published: (2024)

Blending Supervised and Reinforcement Fine-Tuning with Prefix Sampling
by: Huang, Zeyu, et al.
Published: (2025)

Modular Duality in Deep Learning
by: Bernstein, Jeremy, et al.
Published: (2024)

Large Language Models are Miscalibrated In-Context Learners
by: Li, Chengzu, et al.
Published: (2023)

Mixtures of In-Context Learners
by: Hong, Giwon, et al.
Published: (2024)

Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation
by: Frohmann, Markus, et al.
Published: (2024)

How Does Quantization Affect Multilingual LLMs?
by: Marchisio, Kelly, et al.
Published: (2024)

Modular Deep-Learning-Based Early Warning System for Deadly Heatwave Prediction
by: Xu, Shangqing, et al.
Published: (2025)

PeakWeather: MeteoSwiss Weather Station Measurements for Spatiotemporal Deep Learning
by: Zambon, Daniele, et al.
Published: (2025)

AdaSplash-2: Faster Differentiable Sparse Attention
by: Gonçalves, Nuno, et al.
Published: (2026)

Animal Behavior Analysis Methods Using Deep Learning: A Survey
by: Fazzari, Edoardo, et al.
Published: (2024)

Towards Optimal Adapter Placement for Efficient Transfer Learning
by: Nowak, Aleksandra I., et al.
Published: (2024)

FUN with Fisher: Improving Generalization of Adapter-Based Cross-lingual Transfer with Scheduled Unfreezing
by: Liu, Chen Cecilia, et al.
Published: (2023)

LoRA-Squeeze: Simple and Effective Post-Tuning and In-Tuning Compression of LoRA Modules
by: Vulić, Ivan, et al.
Published: (2026)