What do Language Models Learn and When? The Implicit Curriculum Hypothesis
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Emmy, Sun, Kaiser, Li, Millicent, Lee, Isabelle, Tjuatja, Lindia, Huang, Jen-tse, Neubig, Graham |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
BehaviorBox: Automated Discovery of Fine-Grained Performance Differences Between Language Models
by: Tjuatja, Lindia, et al.
Published: (2025)
by: Tjuatja, Lindia, et al.
Published: (2025)
What Goes Into a LM Acceptability Judgment? Rethinking the Impact of Frequency and Length
by: Tjuatja, Lindia, et al.
Published: (2024)
by: Tjuatja, Lindia, et al.
Published: (2024)
CMULAB: An Open-Source Framework for Training and Deployment of Natural Language Processing Models
by: Sheikh, Zaid, et al.
Published: (2024)
by: Sheikh, Zaid, et al.
Published: (2024)
Do LLMs exhibit human-like response biases? A case study in survey design
by: Tjuatja, Lindia, et al.
Published: (2023)
by: Tjuatja, Lindia, et al.
Published: (2023)
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)
GlossLM: A Massively Multilingual Corpus and Pretrained Model for Interlinear Glossed Text
by: Ginn, Michael, et al.
Published: (2024)
by: Ginn, Michael, et al.
Published: (2024)
Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions
by: Liu, Emmy, et al.
Published: (2025)
by: Liu, Emmy, et al.
Published: (2025)
Massively Multilingual Joint Segmentation and Glossing
by: Ginn, Michael, et al.
Published: (2026)
by: Ginn, Michael, et al.
Published: (2026)
On the Failure of Latent State Persistence in Large Language Models
by: Huang, Jen-tse, et al.
Published: (2025)
by: Huang, Jen-tse, et al.
Published: (2025)
Midtraining Bridges Pretraining and Posttraining Distributions
by: Liu, Emmy, et al.
Published: (2025)
by: Liu, Emmy, et al.
Published: (2025)
Wav2Gloss: Generating Interlinear Glossed Text from Speech
by: He, Taiqi, et al.
Published: (2024)
by: He, Taiqi, et al.
Published: (2024)
Language Modeling with Editable External Knowledge
by: Li, Belinda Z., et al.
Published: (2024)
by: Li, Belinda Z., et al.
Published: (2024)
Divergences between Language Models and Human Brains
by: Zhou, Yuchen, et al.
Published: (2023)
by: Zhou, Yuchen, et al.
Published: (2023)
VisBias: Measuring Explicit and Implicit Social Biases in Vision Language Models
by: Huang, Jen-tse, et al.
Published: (2025)
by: Huang, Jen-tse, et al.
Published: (2025)
What Is Missing in Multilingual Visual Reasoning and How to Fix It
by: Song, Yueqi, et al.
Published: (2024)
by: Song, Yueqi, et al.
Published: (2024)
What Are Tools Anyway? A Survey from the Language Model Perspective
by: Wang, Zhiruo, et al.
Published: (2024)
by: Wang, Zhiruo, et al.
Published: (2024)
Synthetic Socratic Debates: Examining Persona Effects on Moral Decision and Persuasion Dynamics
by: Liu, Jiarui, et al.
Published: (2025)
by: Liu, Jiarui, et al.
Published: (2025)
On the Interplay of Pre-Training, Mid-Training, and RL on Reasoning Language Models
by: Zhang, Charlie, et al.
Published: (2025)
by: Zhang, Charlie, et al.
Published: (2025)
Can LLMs Grasp Implicit Cultural Values? Benchmarking LLMs' Cultural Intelligence with CQ-Bench
by: Liu, Ziyi, et al.
Published: (2025)
by: Liu, Ziyi, et al.
Published: (2025)
Revisiting the Reliability of Psychological Scales on Large Language Models
by: Huang, Jen-tse, et al.
Published: (2023)
by: Huang, Jen-tse, et al.
Published: (2023)
The Chameleon's Limit: Investigating Persona Collapse and Homogenization in Large Language Models
by: Xiao, Yunze, et al.
Published: (2026)
by: Xiao, Yunze, et al.
Published: (2026)
Probing Multimodal Large Language Models on Cognitive Biases in Chinese Short-Video Misinformation
by: Huang, Jen-tse, et al.
Published: (2026)
by: Huang, Jen-tse, et al.
Published: (2026)
All Languages Matter: On the Multilingual Safety of Large Language Models
by: Wang, Wenxuan, et al.
Published: (2023)
by: Wang, Wenxuan, et al.
Published: (2023)
Can Large Language Models be Trusted for Evaluation? Scalable Meta-Evaluation of LLMs as Evaluators via Agent Debate
by: Chern, Steffi, et al.
Published: (2024)
by: Chern, Steffi, et al.
Published: (2024)
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)
Learning to Ask: When LLM Agents Meet Unclear Instruction
by: Wang, Wenxuan, et al.
Published: (2024)
by: Wang, Wenxuan, et al.
Published: (2024)
FairCoder: Evaluating Social Bias of LLMs in Code Generation
by: Du, Yongkang, et al.
Published: (2025)
by: Du, Yongkang, et al.
Published: (2025)
Go-Browse: Training Web Agents with Structured Exploration
by: Gandhi, Apurva, et al.
Published: (2025)
by: Gandhi, Apurva, et al.
Published: (2025)
Not All Countries Celebrate Thanksgiving: On the Cultural Dominance in Large Language Models
by: Wang, Wenxuan, et al.
Published: (2023)
by: Wang, Wenxuan, et al.
Published: (2023)
On the Shortcut Learning in Multilingual Neural Machine Translation
by: Wang, Wenxuan, et al.
Published: (2024)
by: Wang, Wenxuan, et al.
Published: (2024)
What Kind of Language is Easy to Language-Model Under Curriculum Learning?
by: El-Naggar, Nadine, et al.
Published: (2026)
by: El-Naggar, Nadine, et al.
Published: (2026)
Diversity-Enhanced Reasoning for Subjective Questions
by: Wang, Yumeng, et al.
Published: (2025)
by: Wang, Yumeng, et al.
Published: (2025)
Effective Strategies for Asynchronous Software Engineering Agents
by: Geng, Jiayi, et al.
Published: (2026)
by: Geng, Jiayi, et al.
Published: (2026)
Checklists Are Better Than Reward Models For Aligning Language Models
by: Viswanathan, Vijay, et al.
Published: (2025)
by: Viswanathan, Vijay, et al.
Published: (2025)
Artificial Intolerance: Stigmatizing Language in Clinical Documentation Skews Large Language Model Decision-Making
by: Huang, Jen-tse, et al.
Published: (2026)
by: Huang, Jen-tse, et al.
Published: (2026)
Towards Evaluating Proactive Risk Awareness of Multimodal Language Models
by: Yuan, Youliang, et al.
Published: (2025)
by: Yuan, Youliang, et al.
Published: (2025)
AI Sees Your Location, But With A Bias Toward The Wealthy World
by: Huang, Jingyuan, et al.
Published: (2025)
by: Huang, Jingyuan, et al.
Published: (2025)
Repetition Improves Language Model Embeddings
by: Springer, Jacob Mitchell, et al.
Published: (2024)
by: Springer, Jacob Mitchell, et al.
Published: (2024)
Benchmarking Failures in Tool-Augmented Language Models
by: Treviño, Eduardo, et al.
Published: (2025)
by: Treviño, Eduardo, et al.
Published: (2025)
The Translation Barrier Hypothesis: Multilingual Generation with Large Language Models Suffers from Implicit Translation Failure
by: Bafna, Niyati, et al.
Published: (2025)
by: Bafna, Niyati, et al.
Published: (2025)
Similar Items
-
BehaviorBox: Automated Discovery of Fine-Grained Performance Differences Between Language Models
by: Tjuatja, Lindia, et al.
Published: (2025) -
What Goes Into a LM Acceptability Judgment? Rethinking the Impact of Frequency and Length
by: Tjuatja, Lindia, et al.
Published: (2024) -
CMULAB: An Open-Source Framework for Training and Deployment of Natural Language Processing Models
by: Sheikh, Zaid, et al.
Published: (2024) -
Do LLMs exhibit human-like response biases? A case study in survey design
by: Tjuatja, Lindia, et al.
Published: (2023) -
An Incomplete Loop: Instruction Inference, Instruction Following, and In-context Learning in Language Models
by: Liu, Emmy, et al.
Published: (2024)