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Yang Yu

Papers
19

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19papers

Authored papers

19

Towards Automated Kernel Generation in the Era of LLMs

arXiv 2026

2026

POINTS-GUI-G: GUI-Grounding Journey

arXiv 2026

2026

CCI4.0: A Bilingual Pretraining Dataset for Enhancing Reasoning in Large Language Models

arXiv 2025

2025

InfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in Reasoning

arXiv 2025

2025

POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion

arXiv 2025

2025

ImagineBench: Evaluating Reinforcement Learning with Large Language Model Rollouts

arXiv 2025

2025

NeoRL-2: Near Real-World Benchmarks for Offline Reinforcement Learning with Extended Realistic Scenarios

arXiv 2025

2025

LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch

arXiv 2024

2024

POINTS1.5: Building a Vision-Language Model towards Real World Applications

arXiv 2024

2024

SceneTracker: Long-term Scene Flow Estimation Network

arXiv 2024

2024

Hide and Seek (HaS): A Lightweight Framework for Prompt Privacy Protection

arXiv 2023

2023

ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models

arXiv 2023

2023

Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems

arXiv 2023

2023

Uncertainty Estimation by Fisher Information-based Evidential Deep Learning

arXiv 2023

2023

Policy Regularization with Dataset Constraint for Offline Reinforcement Learning

arXiv 2023

2023

Attentive Temporal Pooling for Conformer-based Streaming Language Identification in Long-form Speech

arXiv 2022

2022

NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning

arXiv 2021

2021

PatrickStar: Parallel Training of Pre-trained Models via Chunk-based Memory Management

arXiv 2021

2021

Context-Aware Sparse Deep Coordination Graphs

context-aware-sparse-deep-coordination-graphs-1

2021

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10

from 19 papers