Extracting and Combining Abilities For Building Multi-lingual Ability-enhanced Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Zhipeng, Zhou, Kun, Song, Liang, Zhao, Wayne Xin, Wang, Bingning, Chen, Weipeng, Wen, Ji-Rong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adaptive Ability Decomposing for Unlocking Large Reasoning Model Effective Reinforcement Learning
by: Chen, Zhipeng, et al.
Published: (2026)
by: Chen, Zhipeng, et al.
Published: (2026)
Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models
by: Chen, Jie, et al.
Published: (2024)
by: Chen, Jie, et al.
Published: (2024)
MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic
by: Zhou, Yuyan, et al.
Published: (2024)
by: Zhou, Yuyan, et al.
Published: (2024)
Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment
by: Chen, Zhipeng, et al.
Published: (2024)
by: Chen, Zhipeng, et al.
Published: (2024)
ICLEval: Evaluating In-Context Learning Ability of Large Language Models
by: Chen, Wentong, et al.
Published: (2024)
by: Chen, Wentong, et al.
Published: (2024)
Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint
by: Chen, Zhipeng, et al.
Published: (2024)
by: Chen, Zhipeng, et al.
Published: (2024)
Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models
by: Sun, Haoxiang, et al.
Published: (2025)
by: Sun, Haoxiang, et al.
Published: (2025)
LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation
by: Dong, Zican, et al.
Published: (2025)
by: Dong, Zican, et al.
Published: (2025)
A Survey on Enhancing Causal Reasoning Ability of Large Language Models
by: Li, Xin, et al.
Published: (2025)
by: Li, Xin, et al.
Published: (2025)
Distilling Reasoning Ability from Large Language Models with Adaptive Thinking
by: Chen, Xiaoshu, et al.
Published: (2024)
by: Chen, Xiaoshu, et al.
Published: (2024)
KV Shifting Attention Enhances Language Modeling
by: Xu, Mingyu, et al.
Published: (2024)
by: Xu, Mingyu, et al.
Published: (2024)
Exploring the Design Space of Visual Context Representation in Video MLLMs
by: Du, Yifan, et al.
Published: (2024)
by: Du, Yifan, et al.
Published: (2024)
Exploring Context Window of Large Language Models via Decomposed Positional Vectors
by: Dong, Zican, et al.
Published: (2024)
by: Dong, Zican, et al.
Published: (2024)
Towards Event-oriented Long Video Understanding
by: Du, Yifan, et al.
Published: (2024)
by: Du, Yifan, et al.
Published: (2024)
Full-ECE: A Metric For Token-level Calibration on Large Language Models
by: Liu, Han, et al.
Published: (2024)
by: Liu, Han, et al.
Published: (2024)
Low-rank Optimization Trajectories Modeling for LLM RLVR Acceleration
by: Chen, Zhipeng, et al.
Published: (2026)
by: Chen, Zhipeng, et al.
Published: (2026)
Empowering Cross-lingual Abilities of Instruction-tuned Large Language Models by Translation-following demonstrations
by: Ranaldi, Leonardo, et al.
Published: (2023)
by: Ranaldi, Leonardo, et al.
Published: (2023)
Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking Multimodal Large Language Models
by: Li, Yifan, et al.
Published: (2024)
by: Li, Yifan, et al.
Published: (2024)
Code-Driven Inductive Synthesis: Enhancing Reasoning Abilities of Large Language Models with Sequences
by: Chen, Kedi, et al.
Published: (2025)
by: Chen, Kedi, et al.
Published: (2025)
ChainLM: Empowering Large Language Models with Improved Chain-of-Thought Prompting
by: Cheng, Xiaoxue, et al.
Published: (2024)
by: Cheng, Xiaoxue, et al.
Published: (2024)
Eliciting Causal Abilities in Large Language Models for Reasoning Tasks
by: Wang, Yajing, et al.
Published: (2024)
by: Wang, Yajing, et al.
Published: (2024)
ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
by: Men, Xin, et al.
Published: (2024)
by: Men, Xin, et al.
Published: (2024)
ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph
by: Jiang, Jinhao, et al.
Published: (2023)
by: Jiang, Jinhao, et al.
Published: (2023)
Decomposing the Entropy-Performance Exchange: The Missing Keys to Unlocking Effective Reinforcement Learning
by: Deng, Jia, et al.
Published: (2025)
by: Deng, Jia, et al.
Published: (2025)
What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models
by: Zhang, Letian, et al.
Published: (2023)
by: Zhang, Letian, et al.
Published: (2023)
Do we Really Need Visual Instructions? Towards Visual Instruction-Free Fine-tuning for Large Vision-Language Models
by: Liu, Zikang, et al.
Published: (2025)
by: Liu, Zikang, et al.
Published: (2025)
STBench: Assessing the Ability of Large Language Models in Spatio-Temporal Analysis
by: Li, Wenbin, et al.
Published: (2024)
by: Li, Wenbin, et al.
Published: (2024)
BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models
by: Dong, Zican, et al.
Published: (2023)
by: Dong, Zican, et al.
Published: (2023)
Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions
by: Li, Jiahuan, et al.
Published: (2023)
by: Li, Jiahuan, et al.
Published: (2023)
LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models
by: Agashe, Saaket, et al.
Published: (2023)
by: Agashe, Saaket, et al.
Published: (2023)
Self-Calibrated Listwise Reranking with Large Language Models
by: Ren, Ruiyang, et al.
Published: (2024)
by: Ren, Ruiyang, et al.
Published: (2024)
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
by: Wang, Xiaolei, et al.
Published: (2023)
by: Wang, Xiaolei, et al.
Published: (2023)
Code-driven Number Sequence Calculation: Enhancing the inductive Reasoning Abilities of Large Language Models
by: Chen, Kedi, et al.
Published: (2025)
by: Chen, Kedi, et al.
Published: (2025)
Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models
by: Sun, Yuchong, et al.
Published: (2023)
by: Sun, Yuchong, et al.
Published: (2023)
Neuron-based Personality Trait Induction in Large Language Models
by: Deng, Jia, et al.
Published: (2024)
by: Deng, Jia, et al.
Published: (2024)
Disentangling Memory and Reasoning Ability in Large Language Models
by: Jin, Mingyu, et al.
Published: (2024)
by: Jin, Mingyu, et al.
Published: (2024)
Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models
by: Xu, Derong, et al.
Published: (2024)
by: Xu, Derong, et al.
Published: (2024)
Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models
by: Zhao, Zekai, et al.
Published: (2025)
by: Zhao, Zekai, et al.
Published: (2025)
From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models
by: He, Qianyu, et al.
Published: (2024)
by: He, Qianyu, et al.
Published: (2024)
The Astonishing Ability of Large Language Models to Parse Jabberwockified Language
by: Lupyan, Gary, et al.
Published: (2026)
by: Lupyan, Gary, et al.
Published: (2026)
Similar Items
-
Adaptive Ability Decomposing for Unlocking Large Reasoning Model Effective Reinforcement Learning
by: Chen, Zhipeng, et al.
Published: (2026) -
Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models
by: Chen, Jie, et al.
Published: (2024) -
MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic
by: Zhou, Yuyan, et al.
Published: (2024) -
Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment
by: Chen, Zhipeng, et al.
Published: (2024) -
ICLEval: Evaluating In-Context Learning Ability of Large Language Models
by: Chen, Wentong, et al.
Published: (2024)