Data Selection via Optimal Control for Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Gu, Yuxian, Dong, Li, Wang, Hongning, Hao, Yaru, Dong, Qingxiu, Wei, Furu, Huang, Minlie |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Optimal Learning of Language Models
by: Gu, Yuxian, et al.
Published: (2024)
by: Gu, Yuxian, et al.
Published: (2024)
MiniLLM: On-Policy Distillation of Large Language Models
by: Gu, Yuxian, et al.
Published: (2023)
by: Gu, Yuxian, et al.
Published: (2023)
Multiplex Thinking: Reasoning via Token-wise Branch-and-Merge
by: Tang, Yao, et al.
Published: (2026)
by: Tang, Yao, et al.
Published: (2026)
The Era of Agentic Organization: Learning to Organize with Language Models
by: Chi, Zewen, et al.
Published: (2025)
by: Chi, Zewen, et al.
Published: (2025)
Instruction Pre-Training: Language Models are Supervised Multitask Learners
by: Cheng, Daixuan, et al.
Published: (2024)
by: Cheng, Daixuan, et al.
Published: (2024)
Self-Boosting Large Language Models with Synthetic Preference Data
by: Dong, Qingxiu, et al.
Published: (2024)
by: Dong, Qingxiu, et al.
Published: (2024)
Online Experiential Learning for Language Models
by: Ye, Tianzhu, et al.
Published: (2026)
by: Ye, Tianzhu, et al.
Published: (2026)
Direct Preference Knowledge Distillation for Large Language Models
by: Li, Yixing, et al.
Published: (2024)
by: Li, Yixing, et al.
Published: (2024)
MiniPLM: Knowledge Distillation for Pre-Training Language Models
by: Gu, Yuxian, et al.
Published: (2024)
by: Gu, Yuxian, et al.
Published: (2024)
Language Model Decoding as Direct Metrics Optimization
by: Ji, Haozhe, et al.
Published: (2023)
by: Ji, Haozhe, et al.
Published: (2023)
On-Policy RL with Optimal Reward Baseline
by: Hao, Yaru, et al.
Published: (2025)
by: Hao, Yaru, et al.
Published: (2025)
Reward Reasoning Model
by: Guo, Jiaxin, et al.
Published: (2025)
by: Guo, Jiaxin, et al.
Published: (2025)
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models
by: Li, Haoran, et al.
Published: (2024)
by: Li, Haoran, et al.
Published: (2024)
Optimizing Prompts for Text-to-Image Generation
by: Hao, Yaru, et al.
Published: (2022)
by: Hao, Yaru, et al.
Published: (2022)
Think Socially via Cognitive Reasoning
by: Zhou, Jinfeng, et al.
Published: (2025)
by: Zhou, Jinfeng, et al.
Published: (2025)
Unlocking Reasoning Potential in Large Langauge Models by Scaling Code-form Planning
by: Wen, Jiaxin, et al.
Published: (2024)
by: Wen, Jiaxin, et al.
Published: (2024)
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training
by: Cheng, Jiale, et al.
Published: (2023)
by: Cheng, Jiale, et al.
Published: (2023)
Reinforcement Pre-Training
by: Dong, Qingxiu, et al.
Published: (2025)
by: Dong, Qingxiu, et al.
Published: (2025)
LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models
by: Gui, Jiayi, et al.
Published: (2024)
by: Gui, Jiayi, et al.
Published: (2024)
Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization
by: Zhang, Zhexin, et al.
Published: (2023)
by: Zhang, Zhexin, et al.
Published: (2023)
Scaling Laws of Synthetic Data for Language Models
by: Qin, Zeyu, et al.
Published: (2025)
by: Qin, Zeyu, et al.
Published: (2025)
LongSafety: Evaluating Long-Context Safety of Large Language Models
by: Lu, Yida, et al.
Published: (2025)
by: Lu, Yida, et al.
Published: (2025)
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models
by: Cheng, Jiale, et al.
Published: (2024)
by: Cheng, Jiale, et al.
Published: (2024)
Think Only When You Need with Large Hybrid-Reasoning Models
by: Jiang, Lingjie, et al.
Published: (2025)
by: Jiang, Lingjie, et al.
Published: (2025)
On-Policy Context Distillation for Language Models
by: Ye, Tianzhu, et al.
Published: (2026)
by: Ye, Tianzhu, et al.
Published: (2026)
RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection
by: Yang, Yixin, et al.
Published: (2025)
by: Yang, Yixin, et al.
Published: (2025)
RLAR: An Agentic Reward System for Multi-task Reinforcement Learning on Large Language Models
by: Feng, Andrew Zhuoer, et al.
Published: (2026)
by: Feng, Andrew Zhuoer, et al.
Published: (2026)
SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models
by: Cheng, Jiale, et al.
Published: (2024)
by: Cheng, Jiale, et al.
Published: (2024)
SocialEval: Evaluating Social Intelligence of Large Language Models
by: Zhou, Jinfeng, et al.
Published: (2025)
by: Zhou, Jinfeng, et al.
Published: (2025)
AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback
by: Guan, Jian, et al.
Published: (2024)
by: Guan, Jian, et al.
Published: (2024)
Towards Efficient Exact Optimization of Language Model Alignment
by: Ji, Haozhe, et al.
Published: (2024)
by: Ji, Haozhe, et al.
Published: (2024)
SocialSim: Towards Socialized Simulation of Emotional Support Conversation
by: Chen, Zhuang, et al.
Published: (2025)
by: Chen, Zhuang, et al.
Published: (2025)
Does RLHF Scale? Exploring the Impacts From Data, Model, and Method
by: Hou, Zhenyu, et al.
Published: (2024)
by: Hou, Zhenyu, et al.
Published: (2024)
Adapting Large Language Models to Domains via Reading Comprehension
by: Cheng, Daixuan, et al.
Published: (2023)
by: Cheng, Daixuan, et al.
Published: (2023)
ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback
by: Hou, Zhenyu, et al.
Published: (2024)
by: Hou, Zhenyu, et al.
Published: (2024)
Learning Task Decomposition to Assist Humans in Competitive Programming
by: Wen, Jiaxin, et al.
Published: (2024)
by: Wen, Jiaxin, et al.
Published: (2024)
Be Careful When Fine-tuning On Open-Source LLMs: Your Fine-tuning Data Could Be Secretly Stolen!
by: Zhang, Zhexin, et al.
Published: (2025)
by: Zhang, Zhexin, et al.
Published: (2025)
CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation
by: Ke, Pei, et al.
Published: (2023)
by: Ke, Pei, et al.
Published: (2023)
Black-Box On-Policy Distillation of Large Language Models
by: Ye, Tianzhu, et al.
Published: (2025)
by: Ye, Tianzhu, et al.
Published: (2025)
Kosmos-G: Generating Images in Context with Multimodal Large Language Models
by: Pan, Xichen, et al.
Published: (2023)
by: Pan, Xichen, et al.
Published: (2023)
Similar Items
-
Towards Optimal Learning of Language Models
by: Gu, Yuxian, et al.
Published: (2024) -
MiniLLM: On-Policy Distillation of Large Language Models
by: Gu, Yuxian, et al.
Published: (2023) -
Multiplex Thinking: Reasoning via Token-wise Branch-and-Merge
by: Tang, Yao, et al.
Published: (2026) -
The Era of Agentic Organization: Learning to Organize with Language Models
by: Chi, Zewen, et al.
Published: (2025) -
Instruction Pre-Training: Language Models are Supervised Multitask Learners
by: Cheng, Daixuan, et al.
Published: (2024)