Unveiling the Flaws: Exploring Imperfections in Synthetic Data and Mitigation Strategies for Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Jie, Zhang, Yupeng, Wang, Bingning, Zhao, Wayne Xin, Wen, Ji-Rong, Chen, Weipeng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Extracting and Combining Abilities For Building Multi-lingual Ability-enhanced Large Language Models
by: Chen, Zhipeng, et al.
Published: (2024)
by: Chen, Zhipeng, 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)
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)
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)
MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic
by: Zhou, Yuyan, et al.
Published: (2024)
by: Zhou, Yuyan, 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 Mathematical Extrapolation of Large Language Models with Synthetic Data
by: Li, Haolong, et al.
Published: (2024)
by: Li, Haolong, 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)
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)
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)
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)
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)
Towards Event-oriented Long Video Understanding
by: Du, Yifan, et al.
Published: (2024)
by: Du, Yifan, et al.
Published: (2024)
The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models
by: Li, Junyi, et al.
Published: (2024)
by: Li, Junyi, 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)
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)
Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking
by: Cheng, Xiaoxue, et al.
Published: (2025)
by: Cheng, Xiaoxue, et al.
Published: (2025)
Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers
by: Tang, Xinyu, et al.
Published: (2024)
by: Tang, Xinyu, et al.
Published: (2024)
Neuron-based Personality Trait Induction in Large Language Models
by: Deng, Jia, et al.
Published: (2024)
by: Deng, Jia, et al.
Published: (2024)
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)
Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws
by: Jha, Akshita, et al.
Published: (2024)
by: Jha, Akshita, et al.
Published: (2024)
Towards Coarse-to-Fine Evaluation of Inference Efficiency for Large Language Models
by: Chen, Yushuo, et al.
Published: (2024)
by: Chen, Yushuo, et al.
Published: (2024)
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)
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)
YuLan-Mini: An Open Data-efficient Language Model
by: Hu, Yiwen, et al.
Published: (2024)
by: Hu, Yiwen, 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)
Base of RoPE Bounds Context Length
by: Men, Xin, et al.
Published: (2024)
by: Men, Xin, et al.
Published: (2024)
Self-Calibrated Listwise Reranking with Large Language Models
by: Ren, Ruiyang, et al.
Published: (2024)
by: Ren, Ruiyang, et al.
Published: (2024)
Analyzing and Mitigating Object Hallucination: A Training Bias Perspective
by: Li, Yifan, et al.
Published: (2025)
by: Li, Yifan, et al.
Published: (2025)
A Survey on Large Language Model based Autonomous Agents
by: Wang, Lei, et al.
Published: (2023)
by: Wang, Lei, et al.
Published: (2023)
BASES: Large-scale Web Search User Simulation with Large Language Model based Agents
by: Ren, Ruiyang, et al.
Published: (2024)
by: Ren, Ruiyang, et al.
Published: (2024)
Unveiling Trust in Multimodal Large Language Models: Evaluation, Analysis, and Mitigation
by: Zhang, Yichi, et al.
Published: (2025)
by: Zhang, Yichi, et al.
Published: (2025)
Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation
by: Ren, Ruiyang, et al.
Published: (2023)
by: Ren, Ruiyang, et al.
Published: (2023)
Jailbreaking Large Language Diffusion Models: Revealing Hidden Safety Flaws in Diffusion-Based Text Generation
by: Zhang, Yuanhe, et al.
Published: (2025)
by: Zhang, Yuanhe, et al.
Published: (2025)
Distilling Rule-based Knowledge into Large Language Models
by: Yang, Wenkai, et al.
Published: (2023)
by: Yang, Wenkai, et al.
Published: (2023)
DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning
by: Tang, Xinyu, et al.
Published: (2024)
by: Tang, Xinyu, et al.
Published: (2024)
LLaSA: Large Language and Structured Data Assistant
by: Xu, Yao, et al.
Published: (2024)
by: Xu, Yao, et al.
Published: (2024)
A Survey of Large Language Models
by: Zhao, Wayne Xin, et al.
Published: (2023)
by: Zhao, Wayne Xin, et al.
Published: (2023)
Large Language Models are Zero-Shot Rankers for Recommender Systems
by: Hou, Yupeng, et al.
Published: (2023)
by: Hou, Yupeng, et al.
Published: (2023)
Similar Items
-
Extracting and Combining Abilities For Building Multi-lingual Ability-enhanced Large Language Models
by: Chen, Zhipeng, et al.
Published: (2024) -
Full-ECE: A Metric For Token-level Calibration on Large Language Models
by: Liu, Han, et al.
Published: (2024) -
LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation
by: Dong, Zican, et al.
Published: (2025) -
Exploring Context Window of Large Language Models via Decomposed Positional Vectors
by: Dong, Zican, et al.
Published: (2024) -
MetaGPT: Merging Large Language Models Using Model Exclusive Task Arithmetic
by: Zhou, Yuyan, et al.
Published: (2024)