Saved in:
| Main Authors: | Bila, Natalia, Naszádi, Kata, Mayn, Alexandra, Monz, Christof |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.19997 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Communicating with Speakers and Listeners of Different Pragmatic Levels
by: Naszadi, Kata, et al.
Published: (2024)
by: Naszadi, Kata, et al.
Published: (2024)
The Effect of Language Diversity When Fine-Tuning Large Language Models for Translation
by: Stap, David, et al.
Published: (2025)
by: Stap, David, et al.
Published: (2025)
When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs
by: Li, Xiaomin, et al.
Published: (2025)
by: Li, Xiaomin, et al.
Published: (2025)
The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models
by: Chen, Xinyi, et al.
Published: (2024)
by: Chen, Xinyi, et al.
Published: (2024)
Remedy: Learning Machine Translation Evaluation from Human Preferences with Reward Modeling
by: Tan, Shaomu, et al.
Published: (2025)
by: Tan, Shaomu, et al.
Published: (2025)
Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation
by: Wu, Di, et al.
Published: (2023)
by: Wu, Di, et al.
Published: (2023)
Is It a Free Lunch for Removing Outliers during Pretraining?
by: Liao, Baohao, et al.
Published: (2024)
by: Liao, Baohao, et al.
Published: (2024)
Analyzing the Evaluation of Cross-Lingual Knowledge Transfer in Multilingual Language Models
by: Rajaee, Sara, et al.
Published: (2024)
by: Rajaee, Sara, et al.
Published: (2024)
Disentangling the Roles of Target-Side Transfer and Regularization in Multilingual Machine Translation
by: Meng, Yan, et al.
Published: (2024)
by: Meng, Yan, et al.
Published: (2024)
3-in-1: 2D Rotary Adaptation for Efficient Finetuning, Efficient Batching and Composability
by: Liao, Baohao, et al.
Published: (2024)
by: Liao, Baohao, et al.
Published: (2024)
Neuron Specialization: Leveraging intrinsic task modularity for multilingual machine translation
by: Tan, Shaomu, et al.
Published: (2024)
by: Tan, Shaomu, et al.
Published: (2024)
Please Translate Again: Two Simple Experiments on Whether Human-Like Reasoning Helps Translation
by: Wu, Di, et al.
Published: (2025)
by: Wu, Di, et al.
Published: (2025)
Calibrating Translation Decoding with Quality Estimation on LLMs
by: Wu, Di, et al.
Published: (2025)
by: Wu, Di, et al.
Published: (2025)
Do Language Models Reason Across Languages?
by: Meng, Yan, et al.
Published: (2026)
by: Meng, Yan, et al.
Published: (2026)
How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation
by: Meng, Yan, et al.
Published: (2024)
by: Meng, Yan, et al.
Published: (2024)
IKUN for WMT24 General MT Task: LLMs Are here for Multilingual Machine Translation
by: Liao, Baohao, et al.
Published: (2024)
by: Liao, Baohao, et al.
Published: (2024)
On the Evaluation Practices in Multilingual NLP: Can Machine Translation Offer an Alternative to Human Translations?
by: Choenni, Rochelle, et al.
Published: (2024)
by: Choenni, Rochelle, et al.
Published: (2024)
ApiQ: Finetuning of 2-Bit Quantized Large Language Model
by: Liao, Baohao, et al.
Published: (2024)
by: Liao, Baohao, et al.
Published: (2024)
Best-of-L: Cross-Lingual Reward Modeling for Mathematical Reasoning
by: Rajaee, Sara, et al.
Published: (2025)
by: Rajaee, Sara, et al.
Published: (2025)
On the Limits of Model Merging for Multilinguality in Pre-Training
by: Aycock, Seth, et al.
Published: (2026)
by: Aycock, Seth, et al.
Published: (2026)
What Does Neuro Mean to Cardio? Investigating the Role of Clinical Specialty Data in Medical LLMs
by: Yan, Xinlan, et al.
Published: (2025)
by: Yan, Xinlan, et al.
Published: (2025)
Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book?
by: Aycock, Seth, et al.
Published: (2024)
by: Aycock, Seth, et al.
Published: (2024)
The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities
by: Stap, David, et al.
Published: (2024)
by: Stap, David, et al.
Published: (2024)
When Instructions Multiply: Measuring and Estimating LLM Capabilities of Multiple Instructions Following
by: Harada, Keno, et al.
Published: (2025)
by: Harada, Keno, et al.
Published: (2025)
How Far Can 100 Samples Go? Unlocking Overall Zero-Shot Multilingual Translation via Tiny Multi-Parallel Data
by: Wu, Di, et al.
Published: (2024)
by: Wu, Di, et al.
Published: (2024)
An Incomplete Loop: Instruction Inference, Instruction Following, and In-context Learning in Language Models
by: Liu, Emmy, et al.
Published: (2024)
by: Liu, Emmy, et al.
Published: (2024)
CIMR: Contextualized Iterative Multimodal Reasoning for Robust Instruction Following in LVLMs
by: Yuan, Yangshu, et al.
Published: (2025)
by: Yuan, Yangshu, et al.
Published: (2025)
Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error Annotations
by: Tan, Shaomu, et al.
Published: (2025)
by: Tan, Shaomu, et al.
Published: (2025)
Self-Hinting Language Models Enhance Reinforcement Learning
by: Liao, Baohao, et al.
Published: (2026)
by: Liao, Baohao, et al.
Published: (2026)
Lost in the Noise: How Reasoning Models Fail with Contextual Distractors
by: Lee, Seongyun, et al.
Published: (2026)
by: Lee, Seongyun, et al.
Published: (2026)
ClusComp: A Simple Paradigm for Model Compression and Efficient Finetuning
by: Liao, Baohao, et al.
Published: (2025)
by: Liao, Baohao, et al.
Published: (2025)
Persistent Personas? Role-Playing, Instruction Following, and Safety in Extended Interactions
by: de Araujo, Pedro Henrique Luz, et al.
Published: (2025)
by: de Araujo, Pedro Henrique Luz, et al.
Published: (2025)
Why Instruction-Based Unlearning Fails in Diffusion Models?
by: Zhang, Zeliang, et al.
Published: (2026)
by: Zhang, Zeliang, et al.
Published: (2026)
ContextualLVLM-Agent: A Holistic Framework for Multi-Turn Visually-Grounded Dialogue and Complex Instruction Following
by: Han, Seungmin, et al.
Published: (2025)
by: Han, Seungmin, et al.
Published: (2025)
Instruction Following without Instruction Tuning
by: Hewitt, John, et al.
Published: (2024)
by: Hewitt, John, et al.
Published: (2024)
Control the Temperature: Selective Sampling for Diverse and High-Quality LLM Outputs
by: Troshin, Sergey, et al.
Published: (2025)
by: Troshin, Sergey, et al.
Published: (2025)
Chasing Random: Instruction Selection Strategies Fail to Generalize
by: Diddee, Harshita, et al.
Published: (2024)
by: Diddee, Harshita, et al.
Published: (2024)
Multi-Task Inference: Can Large Language Models Follow Multiple Instructions at Once?
by: Son, Guijin, et al.
Published: (2024)
by: Son, Guijin, et al.
Published: (2024)
When KV Cache Reuse Fails in Multi-Agent Systems: Cross-Candidate Interaction is Crucial for LLM Judges
by: Liang, Sichu, et al.
Published: (2026)
by: Liang, Sichu, et al.
Published: (2026)
Generalizing Verifiable Instruction Following
by: Pyatkin, Valentina, et al.
Published: (2025)
by: Pyatkin, Valentina, et al.
Published: (2025)
Similar Items
-
Communicating with Speakers and Listeners of Different Pragmatic Levels
by: Naszadi, Kata, et al.
Published: (2024) -
The Effect of Language Diversity When Fine-Tuning Large Language Models for Translation
by: Stap, David, et al.
Published: (2025) -
When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs
by: Li, Xiaomin, et al.
Published: (2025) -
The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models
by: Chen, Xinyi, et al.
Published: (2024) -
Remedy: Learning Machine Translation Evaluation from Human Preferences with Reward Modeling
by: Tan, Shaomu, et al.
Published: (2025)