LongWanjuan: Towards Systematic Measurement for Long Text Quality
Fuente:
arXiv
Saved in:
| Main Authors: | Lv, Kai, Liu, Xiaoran, Guo, Qipeng, Yan, Hang, He, Conghui, Qiu, Xipeng, Lin, Dahua |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs
by: Liu, Xiaoran, et al.
Published: (2025)
by: Liu, Xiaoran, et al.
Published: (2025)
AdaLomo: Low-memory Optimization with Adaptive Learning Rate
by: Lv, Kai, et al.
Published: (2023)
by: Lv, Kai, et al.
Published: (2023)
Unearthing Large Scale Domain-Specific Knowledge from Public Corpora
by: Fei, Zhaoye, et al.
Published: (2024)
by: Fei, Zhaoye, et al.
Published: (2024)
Scaling Laws of RoPE-based Extrapolation
by: Liu, Xiaoran, et al.
Published: (2023)
by: Liu, Xiaoran, et al.
Published: (2023)
DuoDecoding: Hardware-aware Heterogeneous Speculative Decoding with Dynamic Multi-Sequence Drafting
by: Lv, Kai, et al.
Published: (2025)
by: Lv, Kai, et al.
Published: (2025)
Beyond Real: Imaginary Extension of Rotary Position Embeddings for Long-Context LLMs
by: Liu, Xiaoran, et al.
Published: (2025)
by: Liu, Xiaoran, et al.
Published: (2025)
Data-free Weight Compress and Denoise for Large Language Models
by: Peng, Runyu, et al.
Published: (2024)
by: Peng, Runyu, et al.
Published: (2024)
Identifying Semantic Induction Heads to Understand In-Context Learning
by: Ren, Jie, et al.
Published: (2024)
by: Ren, Jie, et al.
Published: (2024)
ReAttention: Training-Free Infinite Context with Finite Attention Scope
by: Liu, Xiaoran, et al.
Published: (2024)
by: Liu, Xiaoran, et al.
Published: (2024)
DetectiveQA: Evaluating Long-Context Reasoning on Detective Novels
by: Xu, Zhe, et al.
Published: (2024)
by: Xu, Zhe, et al.
Published: (2024)
What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices
by: Chen, Zhi, et al.
Published: (2024)
by: Chen, Zhi, et al.
Published: (2024)
Thus Spake Long-Context Large Language Model
by: Liu, Xiaoran, et al.
Published: (2025)
by: Liu, Xiaoran, et al.
Published: (2025)
F-Eval: Assessing Fundamental Abilities with Refined Evaluation Methods
by: Sun, Yu, et al.
Published: (2024)
by: Sun, Yu, et al.
Published: (2024)
Full Parameter Fine-tuning for Large Language Models with Limited Resources
by: Lv, Kai, et al.
Published: (2023)
by: Lv, Kai, et al.
Published: (2023)
Sparse-dLLM: Accelerating Diffusion LLMs with Dynamic Cache Eviction
by: Song, Yuerong, et al.
Published: (2025)
by: Song, Yuerong, et al.
Published: (2025)
LongSafety: Enhance Safety for Long-Context LLMs
by: Huang, Mianqiu, et al.
Published: (2024)
by: Huang, Mianqiu, et al.
Published: (2024)
AgentLongBench: A Controllable Long Benchmark For Long-Contexts Agents via Environment Rollouts
by: Fang, Shicheng, et al.
Published: (2026)
by: Fang, Shicheng, et al.
Published: (2026)
Code Needs Comments: Enhancing Code LLMs with Comment Augmentation
by: Song, Demin, et al.
Published: (2024)
by: Song, Demin, et al.
Published: (2024)
CritiQ: Mining Data Quality Criteria from Human Preferences
by: Guo, Honglin, et al.
Published: (2025)
by: Guo, Honglin, et al.
Published: (2025)
Balanced Data Sampling for Language Model Training with Clustering
by: Shao, Yunfan, et al.
Published: (2024)
by: Shao, Yunfan, et al.
Published: (2024)
Turn Waste into Worth: Rectifying Top-$k$ Router of MoE
by: Zeng, Zhiyuan, et al.
Published: (2024)
by: Zeng, Zhiyuan, et al.
Published: (2024)
FastMCTS: A Simple Sampling Strategy for Data Synthesis
by: Li, Peiji, et al.
Published: (2025)
by: Li, Peiji, et al.
Published: (2025)
SIM-CoT: Supervised Implicit Chain-of-Thought
by: Wei, Xilin, et al.
Published: (2025)
by: Wei, Xilin, et al.
Published: (2025)
Explicit Multi-head Attention for Inter-head Interaction in Large Language Models
by: Peng, Runyu, et al.
Published: (2026)
by: Peng, Runyu, et al.
Published: (2026)
Beyond Homogeneous Attention: Memory-Efficient LLMs via Fourier-Approximated KV Cache
by: Liu, Xiaoran, et al.
Published: (2025)
by: Liu, Xiaoran, et al.
Published: (2025)
Mousse: Rectifying the Geometry of Muon with Curvature-Aware Preconditioning
by: Zhang, Yechen, et al.
Published: (2026)
by: Zhang, Yechen, et al.
Published: (2026)
Case2Code: Scalable Synthetic Data for Code Generation
by: Shao, Yunfan, et al.
Published: (2024)
by: Shao, Yunfan, et al.
Published: (2024)
Benchmarking Hallucination in Large Language Models based on Unanswerable Math Word Problem
by: Sun, Yuhong, et al.
Published: (2024)
by: Sun, Yuhong, et al.
Published: (2024)
AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data
by: Song, Zifan, et al.
Published: (2024)
by: Song, Zifan, et al.
Published: (2024)
Can Language Models Learn to Skip Steps?
by: Liu, Tengxiao, et al.
Published: (2024)
by: Liu, Tengxiao, et al.
Published: (2024)
How Attention Sinks Emerge in Large Language Models: An Interpretability Perspective
by: Peng, Runyu, et al.
Published: (2026)
by: Peng, Runyu, et al.
Published: (2026)
OPV: Outcome-based Process Verifier for Efficient Long Chain-of-Thought Verification
by: Wu, Zijian, et al.
Published: (2025)
by: Wu, Zijian, et al.
Published: (2025)
Long-form RewardBench: Evaluating Reward Models for Long-form Generation
by: Huang, Hui, et al.
Published: (2026)
by: Huang, Hui, et al.
Published: (2026)
Making Large Language Models Better Reasoners with Orchestrated Streaming Experiences
by: Liu, Xiangyang, et al.
Published: (2025)
by: Liu, Xiangyang, et al.
Published: (2025)
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output
by: Zhang, Pan, et al.
Published: (2024)
by: Zhang, Pan, et al.
Published: (2024)
Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs
by: Ji, Tao, et al.
Published: (2025)
by: Ji, Tao, et al.
Published: (2025)
Pooling and Semantic Shift: The Fundamental Challenges in Long Text Embedding and Retrieval
by: Gao, Hang, et al.
Published: (2026)
by: Gao, Hang, et al.
Published: (2026)
Training-Free Long-Context Scaling of Large Language Models
by: An, Chenxin, et al.
Published: (2024)
by: An, Chenxin, et al.
Published: (2024)
Mixing Expert Knowledge: Bring Human Thoughts Back To the Game of Go
by: Ma, Yichuan, et al.
Published: (2026)
by: Ma, Yichuan, et al.
Published: (2026)
UnitCoder: Scalable Iterative Code Synthesis with Unit Test Guidance
by: Ma, Yichuan, et al.
Published: (2025)
by: Ma, Yichuan, et al.
Published: (2025)
Similar Items
-
LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs
by: Liu, Xiaoran, et al.
Published: (2025) -
AdaLomo: Low-memory Optimization with Adaptive Learning Rate
by: Lv, Kai, et al.
Published: (2023) -
Unearthing Large Scale Domain-Specific Knowledge from Public Corpora
by: Fei, Zhaoye, et al.
Published: (2024) -
Scaling Laws of RoPE-based Extrapolation
by: Liu, Xiaoran, et al.
Published: (2023) -
DuoDecoding: Hardware-aware Heterogeneous Speculative Decoding with Dynamic Multi-Sequence Drafting
by: Lv, Kai, et al.
Published: (2025)