Qipeng Guo
- Papers
- 38
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Authored papers
38AI Can Learn Scientific Taste
arXiv 2026
daVinci-LLM:Towards the Science of Pretraining
arXiv 2026
InternVL-U: Democratizing Unified Multimodal Models for Understanding, Reasoning, Generation and Editing
arXiv 2026
How to Fine-Tune a Reasoning Model? A Teacher-Student Cooperation Framework to Synthesize Student-Consistent SFT Data
arXiv 2026
Data Darwinism Part I: Unlocking the Value of Scientific Data for Pre-training
arXiv 2026
Kernel-Smith: A Unified Recipe for Evolutionary Kernel Optimization
arXiv 2026
Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment
arXiv 2026
VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search
arXiv 2025
Thus Spake Long-Context Large Language Model
arXiv 2025
CritiQ: Mining Data Quality Criteria from Human Preferences
arXiv 2025
FastMCTS: A Simple Sampling Strategy for Data Synthesis
arXiv 2025
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
arXiv 2025
Beyond Real: Imaginary Extension of Rotary Position Embeddings for Long-Context LLMs
arXiv 2025
LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs
arXiv 2025
Pre-Trained Policy Discriminators are General Reward Models
arXiv 2025
JanusCoder: Towards a Foundational Visual-Programmatic Interface for Code Intelligence
arXiv 2025
IFDECORATOR: Wrapping Instruction Following Reinforcement Learning with Verifiable Rewards
arXiv 2025
GeometryZero: Improving Geometry Solving for LLM with Group Contrastive Policy Optimization
arXiv 2025
VideoRoPE: What Makes for Good Video Rotary Position Embedding?
arXiv 2025
Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs
arXiv 2025
DuoDecoding: Hardware-aware Heterogeneous Speculative Decoding with Dynamic Multi-Sequence Drafting
arXiv 2025
What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best Practices
arXiv 2024
LongWanjuan: Towards Systematic Measurement for Long Text Quality
arXiv 2024
AlchemistCoder: Harmonizing and Eliciting Code Capability by Hindsight Tuning on Multi-source Data
arXiv 2024
OriGen:Enhancing RTL Code Generation with Code-to-Code Augmentation and Self-Reflection
arXiv 2024
NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens
arXiv 2024
Can Language Models Learn to Skip Steps?
arXiv 2024
A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond
arXiv 2024
Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse Autoencoders
arXiv 2024
Case2Code: Learning Inductive Reasoning with Synthetic Data
arXiv 2024
ReAttention: Training-Free Infinite Context with Finite Attention Scope
arXiv 2024
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models
arXiv 2024
F-Eval: Assessing Fundamental Abilities with Refined Evaluation Methods
arXiv 2024
CoLLiE: Collaborative Training of Large Language Models in an Efficient Way
arXiv 2023
Do Large Language Models Know What They Don't Know?
arXiv 2023
Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication
arXiv 2023
StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding
arXiv 2023
AdaLomo: Low-memory Optimization with Adaptive Learning Rate
arXiv 2023
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