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Papers

YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection

SmartSnap: Proactive Evidence Seeking for Self-Verifying Agents

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tencent 's Papers 39

Submitted by

Xu Lin

YOLO-Master: MOE-Accelerated with Specialized Transformers for Enhanced Real-time Detection

tencent

Submitted by

Yulei Qin

SmartSnap: Proactive Evidence Seeking for Self-Verifying Agents

tencent

3

Submitted by

Mo

Mindscape-Aware Retrieval Augmented Generation for Improved Long Context Understanding

tencent

2

Submitted by

Zhiyang Guo

Make-It-Poseable: Feed-forward Latent Posing Model for 3D Humanoid Character Animation

tencent

Submitted by

Lei Ke

N3D-VLM: Native 3D Grounding Enables Accurate Spatial Reasoning in Vision-Language Models

tencent

Submitted by

Yujun Zhou

Can LLMs Guide Their Own Exploration? Gradient-Guided Reinforcement Learning for LLM Reasoning

tencent

Submitted by

cientgu

Distribution Matching Variational AutoEncoder

tencent

Submitted by

zichuan lin

AdaptVision: Efficient Vision-Language Models via Adaptive Visual Acquisition

tencent

Submitted by

zichuan lin

SeeNav-Agent: Enhancing Vision-Language Navigation with Visual Prompt and Step-Level Policy Optimization

tencent

Submitted by

Chengsong Huang

Guided Self-Evolving LLMs with Minimal Human Supervision

tencent

2

Submitted by

Guanjie Chen

Flash-DMD: Towards High-Fidelity Few-Step Image Generation with Efficient Distillation and Joint Reinforcement Learning

tencent

Submitted by

Kai Yang

EntroPIC: Towards Stable Long-Term Training of LLMs via Entropy Stabilization with Proportional-Integral Control

tencent

Submitted by

liu

MarsRL: Advancing Multi-Agent Reasoning System via Reinforcement Learning with Agentic Pipeline Parallelism

tencent

Submitted by

Chenchen Zhang

DRIVE: Data Curation Best Practices for Reinforcement Learning with Verifiable Reward in Competitive Code Generation

tencent

Submitted by

Zihao Yi

Too Good to be Bad: On the Failure of LLMs to Role-Play Villains

tencent

Submitted by

Ke Li

LTD-Bench: Evaluating Large Language Models by Letting Them Draw

tencent

Submitted by

Chenze Shao

Continuous Autoregressive Language Models

tencent

Submitted by

Tian Lan

The End of Manual Decoding: Towards Truly End-to-End Language Models

tencent

Submitted by

Dian Yu

Every Question Has Its Own Value: Reinforcement Learning with Explicit Human Values

tencent

Submitted by

Liyang He

ChronoPlay: A Framework for Modeling Dual Dynamics and Authenticity in Game RAG Benchmarks

tencent

Submitted by

Chenchen Zhang

ReLook: Vision-Grounded RL with a Multimodal LLM Critic for Agentic Web Coding

tencent

Submitted by

Wenhao Yu

Don't Throw Away Your Pretrained Model

tencent

Submitted by

taesiri

Training-Free Group Relative Policy Optimization

tencent

Submitted by

Hao Wu

GCPO: When Contrast Fails, Go Gold

tencent

Submitted by

Guanhua Huang

Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward

tencent

Submitted by

Zhenwen Liang

CLUE: Non-parametric Verification from Experience via Hidden-State Clustering

tencent

Submitted by

Rui Liu

VOGUE: Guiding Exploration with Visual Uncertainty Improves Multimodal Reasoning

tencent

2

Submitted by

Zhaopeng Tu

BatonVoice: An Operationalist Framework for Enhancing Controllable Speech Synthesis with Linguistic Intelligence from LLMs

tencent

Submitted by

xuxin

Thinking-Free Policy Initialization Makes Distilled Reasoning Models More Effective and Efficient Reasoners

tencent

Submitted by

Zhongwen Xu

Cogito, Ergo Ludo: An Agent that Learns to Play by Reasoning and Planning

tencent

2

Submitted by

taesiri

HunyuanImage 3.0 Technical Report

tencent

Submitted by

taesiri

Learn the Ropes, Then Trust the Wins: Self-imitation with Progressive Exploration for Agentic Reinforcement Learning

tencent

Submitted by

Zhongwen Xu

Single-stream Policy Optimization

tencent

Submitted by

Xinyu Yang

Parallel-R1: Towards Parallel Thinking via Reinforcement Learning

tencent

Submitted by

Wenhao Yu

Self-Rewarding Vision-Language Model via Reasoning Decomposition

tencent

Submitted by

Zhongwen Xu

Understanding Tool-Integrated Reasoning

tencent

4

Submitted by

Chengsong Huang

R-Zero: Self-Evolving Reasoning LLM from Zero Data

tencent

Submitted by

Yulei Qin

Incentivizing Reasoning for Advanced Instruction-Following of Large Language Models

tencent

Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

tencent