Saved in:
| Main Authors: | DeepReinforce Team, Li, Xiaoya, Sun, Xiaofei, Wang, Guoyin, Su, Songqiao, Shum, Chris, Li, Jiwei |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.02721 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning
by: Su, Songqiao, et al.
Published: (2025)
by: Su, Songqiao, et al.
Published: (2025)
CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning
by: Li, Xiaoya, et al.
Published: (2025)
by: Li, Xiaoya, et al.
Published: (2025)
CRINN: Contrastive Reinforcement Learning for Approximate Nearest Neighbor Search
by: Li, Xiaoya, et al.
Published: (2025)
by: Li, Xiaoya, et al.
Published: (2025)
Turn That Frown Upside Down: FaceID Customization via Cross-Training Data
by: Wang, Shuhe, et al.
Published: (2025)
by: Wang, Shuhe, et al.
Published: (2025)
Are Human-generated Demonstrations Necessary for In-context Learning?
by: Li, Rui, et al.
Published: (2023)
by: Li, Rui, et al.
Published: (2023)
Reinforcement Learning Enhanced LLMs: A Survey
by: Wang, Shuhe, et al.
Published: (2024)
by: Wang, Shuhe, et al.
Published: (2024)
FaceID-6M: A Large-Scale, Open-Source FaceID Customization Dataset
by: Wang, Shuhe, et al.
Published: (2025)
by: Wang, Shuhe, et al.
Published: (2025)
Instruction Tuning for Large Language Models: A Survey
by: Zhang, Shengyu, et al.
Published: (2023)
by: Zhang, Shengyu, et al.
Published: (2023)
Belice / Leroy "Grandmaster" Young
by: Young, Leroy Grandmaster
by: Young, Leroy Grandmaster
Template-assisted Contrastive Learning of Task-oriented Dialogue Sentence Embeddings
by: Oh, Minsik, et al.
Published: (2023)
by: Oh, Minsik, et al.
Published: (2023)
Similarity-based Neighbor Selection for Graph LLMs
by: Li, Rui, et al.
Published: (2024)
by: Li, Rui, et al.
Published: (2024)
PK-ICR: Persona-Knowledge Interactive Context Retrieval for Grounded Dialogue
by: Oh, Minsik, et al.
Published: (2023)
by: Oh, Minsik, et al.
Published: (2023)
The media chess Grandmaster: cultural capital intensified by social capital
by: Januário, Jéssica dos Anjos
Published: (2024)
by: Januário, Jéssica dos Anjos
Published: (2024)
Tracing the Thought of a Grandmaster-level Chess-Playing Transformer
by: Lin, Rui, et al.
Published: (2026)
by: Lin, Rui, et al.
Published: (2026)
Piecewise SOS-Convex Moment Optimization and Applications via Exact Semi-Definite Programs
by: Huang, Queenie Yingkun, et al.
Published: (2024)
by: Huang, Queenie Yingkun, et al.
Published: (2024)
Solvita: Enhancing Large Language Models for Competitive Programming via Agentic Evolution
by: Li, Han, et al.
Published: (2026)
by: Li, Han, et al.
Published: (2026)
Scaling Agentic Verifier for Competitive Coding
by: Ma, Zeyao, et al.
Published: (2026)
by: Ma, Zeyao, et al.
Published: (2026)
From Laboratory to Real-World Applications: Benchmarking Agentic Code Reasoning at the Repository Level
by: Li, Jia, et al.
Published: (2026)
by: Li, Jia, et al.
Published: (2026)
DORS: DDC Online Retrieval System.
by: Liu, Songqiao, et al.
Published: (1991)
by: Liu, Songqiao, et al.
Published: (1991)
CodeContests+: High-Quality Test Case Generation for Competitive Programming
by: Wang, Zihan, et al.
Published: (2025)
by: Wang, Zihan, et al.
Published: (2025)
Achieving Human Level Competitive Robot Table Tennis
by: D'Ambrosio, David B., et al.
Published: (2024)
by: D'Ambrosio, David B., et al.
Published: (2024)
Packing Analysis: Packing Is More Appropriate for Large Models or Datasets in Supervised Fine-tuning
by: Wang, Shuhe, et al.
Published: (2024)
by: Wang, Shuhe, et al.
Published: (2024)
TrajAudit: Automated Failure Diagnosis for Agentic Coding Systems
by: Wang, Minxing, et al.
Published: (2026)
by: Wang, Minxing, et al.
Published: (2026)
Estimation of Grouped Time-Varying Network Vector Autoregression Models
by: Li, Degui, et al.
Published: (2023)
by: Li, Degui, et al.
Published: (2023)
Co-Evolution of Types and Dependencies: Towards Repository-Level Type Inference for Python Code
by: Sun, Shuo, et al.
Published: (2025)
by: Sun, Shuo, et al.
Published: (2025)
AutoCode: LLMs as Problem Setters for Competitive Programming
by: Zhou, Shang, et al.
Published: (2025)
by: Zhou, Shang, et al.
Published: (2025)
Training One Model to Master Cross-Level Agentic Actions via Reinforcement Learning
by: He, Kaichen, et al.
Published: (2025)
by: He, Kaichen, et al.
Published: (2025)
Performance-bounded Online Ensemble Learning Method Based on Multi-armed bandits and Its Applications in Real-time Safety Assessment
by: Hu, Songqiao, et al.
Published: (2025)
by: Hu, Songqiao, et al.
Published: (2025)
Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift
by: Hu, Songqiao, et al.
Published: (2025)
by: Hu, Songqiao, et al.
Published: (2025)
Toward Causal-Visual Programming: Enhancing Agentic Reasoning in Low-Code Environments
by: Xu, Jiexi, et al.
Published: (2025)
by: Xu, Jiexi, et al.
Published: (2025)
Competitive Learning for Achieving Content-specific Filters in Video Coding for Machines
by: Zhang, Honglei, et al.
Published: (2024)
by: Zhang, Honglei, et al.
Published: (2024)
Mediating Self‐Oxidation and Competitive Adsorption for Achieving High‐Selective Urea Oxidation Catalysis at Industrial‐Level Current Densities
by: Pengfei Qiao, et al.
Published: (2024)
by: Pengfei Qiao, et al.
Published: (2024)
Warfare:Breaking the Watermark Protection of AI-Generated Content
by: Li, Guanlin, et al.
Published: (2023)
by: Li, Guanlin, et al.
Published: (2023)
RefineRL: Advancing Competitive Programming with Self-Refinement Reinforcement Learning
by: Fu, Shaopeng, et al.
Published: (2026)
by: Fu, Shaopeng, et al.
Published: (2026)
DeepCode: Open Agentic Coding
by: Li, Zongwei, et al.
Published: (2025)
by: Li, Zongwei, et al.
Published: (2025)
On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting
by: Zhang, Wenhao, et al.
Published: (2025)
by: Zhang, Wenhao, et al.
Published: (2025)
CanaryBench: Stress Testing Privacy Leakage in Cluster-Level Conversation Summaries
by: Mehta, Deep
Published: (2026)
by: Mehta, Deep
Published: (2026)
Human-Level Competitive Pokémon via Scalable Offline Reinforcement Learning with Transformers
by: Grigsby, Jake, et al.
Published: (2025)
by: Grigsby, Jake, et al.
Published: (2025)
Agent Operating Systems (AOS): Integrating Agentic Control Planes into, and Beyond, Traditional Operating Systems
by: Sharma, Ankur, et al.
Published: (2026)
by: Sharma, Ankur, et al.
Published: (2026)
AnomalyAgent: Agentic Industrial Anomaly Synthesis via Tool-Augmented Reinforcement Learning
by: Su, Jiaming, et al.
Published: (2026)
by: Su, Jiaming, et al.
Published: (2026)
Similar Items
-
CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning
by: Su, Songqiao, et al.
Published: (2025) -
CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning
by: Li, Xiaoya, et al.
Published: (2025) -
CRINN: Contrastive Reinforcement Learning for Approximate Nearest Neighbor Search
by: Li, Xiaoya, et al.
Published: (2025) -
Turn That Frown Upside Down: FaceID Customization via Cross-Training Data
by: Wang, Shuhe, et al.
Published: (2025) -
Are Human-generated Demonstrations Necessary for In-context Learning?
by: Li, Rui, et al.
Published: (2023)