Wenqi Zhang

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upvoted 4 papers 4 days ago

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

Paper • 2509.01215 • Published 8 days ago • 45

Baichuan-M2: Scaling Medical Capability with Large Verifier System

Paper • 2509.02208 • Published 6 days ago • 35

UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning

Paper • 2509.02544 • Published 6 days ago • 108

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey

Paper • 2509.02547 • Published 6 days ago • 164

upvoted a paper 23 days ago

OmniEAR: Benchmarking Agent Reasoning in Embodied Tasks

Paper • 2508.05614 • Published Aug 7 • 19

upvoted a paper 25 days ago

Cooper: Co-Optimizing Policy and Reward Models in Reinforcement Learning for Large Language Models

Paper • 2508.05613 • Published Aug 7 • 17

upvoted 4 papers about 2 months ago

GR-3 Technical Report

Paper • 2507.15493 • Published Jul 21 • 45

LAPO: Internalizing Reasoning Efficiency via Length-Adaptive Policy Optimization

Paper • 2507.15758 • Published Jul 21 • 34

MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization

Paper • 2507.14683 • Published Jul 19 • 128

GUI-G^2: Gaussian Reward Modeling for GUI Grounding

Paper • 2507.15846 • Published Jul 21 • 131

upvoted 4 papers 3 months ago

AR-RAG: Autoregressive Retrieval Augmentation for Image Generation

Paper • 2506.06962 • Published Jun 8 • 29

TimeHC-RL: Temporal-aware Hierarchical Cognitive Reinforcement Learning for Enhancing LLMs' Social Intelligence

Paper • 2505.24500 • Published May 30 • 12

SVGenius: Benchmarking LLMs in SVG Understanding, Editing and Generation

Paper • 2506.03139 • Published Jun 3 • 17

Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning

Paper • 2506.01939 • Published Jun 2 • 180

upvoted 6 papers 4 months ago

VerifyBench: Benchmarking Reference-based Reward Systems for Large Language Models

Paper • 2505.15801 • Published May 21 • 17

Let LLMs Break Free from Overthinking via Self-Braking Tuning

Paper • 2505.14604 • Published May 20 • 23

Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought Tuning

Paper • 2505.14684 • Published May 20 • 24

Thinkless: LLM Learns When to Think

Paper • 2505.13379 • Published May 19 • 51

AdaptThink: Reasoning Models Can Learn When to Think

Paper • 2505.13417 • Published May 19 • 82

AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning

Paper • 2505.11896 • Published May 17 • 58