Post-Training Language Models for Crosslingual Consistency
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Tianyu, Qi, Jirui, Sachan, Mrinmaya, Cotterell, Ryan, Fernández, Raquel, Bisazza, Arianna |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation
by: Liu, Tianyu, et al.
Published: (2024)
by: Liu, Tianyu, et al.
Published: (2024)
Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models
by: Qi, Jirui, et al.
Published: (2023)
by: Qi, Jirui, et al.
Published: (2023)
On the Consistency of Multilingual Context Utilization in Retrieval-Augmented Generation
by: Qi, Jirui, et al.
Published: (2025)
by: Qi, Jirui, et al.
Published: (2025)
Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation
by: Qi, Jirui, et al.
Published: (2024)
by: Qi, Jirui, et al.
Published: (2024)
Learning to Reason Efficiently with A* Post-Training
by: Opedal, Andreas, et al.
Published: (2026)
by: Opedal, Andreas, et al.
Published: (2026)
Efficiently Computing Susceptibility to Context in Language Models
by: Liu, Tianyu, et al.
Published: (2024)
by: Liu, Tianyu, et al.
Published: (2024)
Probing for Arithmetic Errors in Language Models
by: Sun, Yucheng, et al.
Published: (2025)
by: Sun, Yucheng, et al.
Published: (2025)
Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
by: Opedal, Andreas, et al.
Published: (2024)
by: Opedal, Andreas, et al.
Published: (2024)
Are Language Models Efficient Reasoners? A Perspective from Logic Programming
by: Opedal, Andreas, et al.
Published: (2025)
by: Opedal, Andreas, et al.
Published: (2025)
When Models Reason in Your Language: Controlling Thinking Language Comes at the Cost of Accuracy
by: Qi, Jirui, et al.
Published: (2025)
by: Qi, Jirui, et al.
Published: (2025)
Non Verbis, Sed Rebus: Large Language Models are Weak Solvers of Italian Rebuses
by: Sarti, Gabriele, et al.
Published: (2024)
by: Sarti, Gabriele, et al.
Published: (2024)
Improving Large Language Model Safety with Contrastive Representation Learning
by: Simko, Samuel, et al.
Published: (2025)
by: Simko, Samuel, et al.
Published: (2025)
What Do Language Models Learn in Context? The Structured Task Hypothesis
by: Li, Jiaoda, et al.
Published: (2024)
by: Li, Jiaoda, et al.
Published: (2024)
A Unified Assessment of the Poverty of the Stimulus Argument for Neural Language Models
by: Yang, Xiulin, et al.
Published: (2026)
by: Yang, Xiulin, et al.
Published: (2026)
Multilingual Performance Biases of Large Language Models in Education
by: Gupta, Vansh, et al.
Published: (2025)
by: Gupta, Vansh, et al.
Published: (2025)
Towards Aligning Language Models with Textual Feedback
by: Lloret, Saüc Abadal, et al.
Published: (2024)
by: Lloret, Saüc Abadal, et al.
Published: (2024)
Can Vision-Language Models Solve Visual Math Equations?
by: Choudhury, Monjoy Narayan, et al.
Published: (2025)
by: Choudhury, Monjoy Narayan, et al.
Published: (2025)
How to Engage Your Readers? Generating Guiding Questions to Promote Active Reading
by: Cui, Peng, et al.
Published: (2024)
by: Cui, Peng, et al.
Published: (2024)
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors
by: Daheim, Nico, et al.
Published: (2024)
by: Daheim, Nico, et al.
Published: (2024)
Simulating Students or Sycophantic Problem Solving? On Misconception Faithfulness of LLM Simulators
by: Do, Heejin, et al.
Published: (2026)
by: Do, Heejin, et al.
Published: (2026)
A Distributional Perspective on Word Learning in Neural Language Models
by: Ficarra, Filippo, et al.
Published: (2025)
by: Ficarra, Filippo, et al.
Published: (2025)
Corrupted by Reasoning: Reasoning Language Models Become Free-Riders in Public Goods Games
by: Piedrahita, David Guzman, et al.
Published: (2025)
by: Piedrahita, David Guzman, et al.
Published: (2025)
Steering Large Language Models for Machine Translation Personalization
by: Scalena, Daniel, et al.
Published: (2025)
by: Scalena, Daniel, et al.
Published: (2025)
Towards Explainability in Legal Outcome Prediction Models
by: Valvoda, Josef, et al.
Published: (2024)
by: Valvoda, Josef, et al.
Published: (2024)
Chimera: Diagnosing Shortcut Learning in Visual-Language Understanding
by: Chi, Ziheng, et al.
Published: (2025)
by: Chi, Ziheng, et al.
Published: (2025)
Transformers Can Represent $n$-gram Language Models
by: Svete, Anej, et al.
Published: (2024)
by: Svete, Anej, et al.
Published: (2024)
PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors
by: Rooein, Donya, et al.
Published: (2026)
by: Rooein, Donya, et al.
Published: (2026)
Generating Pedagogically Meaningful Visuals for Math Word Problems: A New Benchmark and Analysis of Text-to-Image Models
by: Wang, Junling, et al.
Published: (2025)
by: Wang, Junling, et al.
Published: (2025)
Compose and Fuse: Revisiting the Foundational Bottlenecks in Multimodal Reasoning
by: Wang, Yucheng, et al.
Published: (2025)
by: Wang, Yucheng, et al.
Published: (2025)
Confidence Regulation Neurons in Language Models
by: Stolfo, Alessandro, et al.
Published: (2024)
by: Stolfo, Alessandro, et al.
Published: (2024)
Exploring the Jungle of Bias: Political Bias Attribution in Language Models via Dependency Analysis
by: Jenny, David F., et al.
Published: (2023)
by: Jenny, David F., et al.
Published: (2023)
Better Estimation of the Kullback--Leibler Divergence Between Language Models
by: Amini, Afra, et al.
Published: (2025)
by: Amini, Afra, et al.
Published: (2025)
A Transformer with Stack Attention
by: Li, Jiaoda, et al.
Published: (2024)
by: Li, Jiaoda, et al.
Published: (2024)
Unsupervised Word-level Quality Estimation for Machine Translation Through the Lens of Annotators (Dis)agreement
by: Sarti, Gabriele, et al.
Published: (2025)
by: Sarti, Gabriele, et al.
Published: (2025)
Can Large Language Models Infer Causation from Correlation?
by: Jin, Zhijing, et al.
Published: (2023)
by: Jin, Zhijing, et al.
Published: (2023)
Implicit Personalization in Language Models: A Systematic Study
by: Jin, Zhijing, et al.
Published: (2024)
by: Jin, Zhijing, et al.
Published: (2024)
Can Reasoning Help Large Language Models Capture Human Annotator Disagreement?
by: Ni, Jingwei, et al.
Published: (2025)
by: Ni, Jingwei, et al.
Published: (2025)
On the Emergence of Induction Heads for In-Context Learning
by: Musat, Tiberiu, et al.
Published: (2025)
by: Musat, Tiberiu, et al.
Published: (2025)
AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators
by: Ni, Jingwei, et al.
Published: (2024)
by: Ni, Jingwei, et al.
Published: (2024)
Gumbel Counterfactual Generation From Language Models
by: Ravfogel, Shauli, et al.
Published: (2024)
by: Ravfogel, Shauli, et al.
Published: (2024)
Similar Items
-
Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation
by: Liu, Tianyu, et al.
Published: (2024) -
Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models
by: Qi, Jirui, et al.
Published: (2023) -
On the Consistency of Multilingual Context Utilization in Retrieval-Augmented Generation
by: Qi, Jirui, et al.
Published: (2025) -
Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation
by: Qi, Jirui, et al.
Published: (2024) -
Learning to Reason Efficiently with A* Post-Training
by: Opedal, Andreas, et al.
Published: (2026)