Yuxin Zuo

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upvoted a paper about 21 hours ago

P1: Mastering Physics Olympiads with Reinforcement Learning

Paper • 2511.13612 • Published 1 day ago • 107

upvoted a paper 12 days ago

Scaling Agent Learning via Experience Synthesis

Paper • 2511.03773 • Published 13 days ago • 75

upvoted a paper 18 days ago

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

Paper • 2510.26697 • Published 19 days ago • 113

upvoted a paper 20 days ago

The Tool Decathlon: Benchmarking Language Agents for Diverse, Realistic, and Long-Horizon Task Execution

Paper • 2510.25726 • Published 20 days ago • 44

upvoted a paper 29 days ago

Glyph: Scaling Context Windows via Visual-Text Compression

Paper • 2510.17800 • Published 29 days ago • 66

upvoted 4 papers about 1 month ago

Qwen3Guard Technical Report

Paper • 2510.14276 • Published Oct 16 • 13

R-Horizon: How Far Can Your Large Reasoning Model Really Go in Breadth and Depth?

Paper • 2510.08189 • Published Oct 9 • 26

AutoPR: Let's Automate Your Academic Promotion!

Paper • 2510.09558 • Published Oct 10 • 50

Video-LMM Post-Training: A Deep Dive into Video Reasoning with Large Multimodal Models

Paper • 2510.05034 • Published Oct 6 • 46

upvoted 6 papers about 2 months ago

From f(x) and g(x) to f(g(x)): LLMs Learn New Skills in RL by Composing Old Ones

Paper • 2509.25123 • Published Sep 29 • 19

Reinforcement Learning on Pre-Training Data

Paper • 2509.19249 • Published Sep 23 • 67

ARE: Scaling Up Agent Environments and Evaluations

Paper • 2509.17158 • Published Sep 21 • 35

SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?

Paper • 2509.16941 • Published Sep 21 • 21

Qwen3-Omni Technical Report

Paper • 2509.17765 • Published Sep 22 • 136

FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction

Paper • 2508.11987 • Published Aug 16 • 70

upvoted 5 papers 2 months ago

Reasoning over Boundaries: Enhancing Specification Alignment via Test-time Delibration

Paper • 2509.14760 • Published Sep 18 • 52

Evolving Language Models without Labels: Majority Drives Selection, Novelty Promotes Variation

Paper • 2509.15194 • Published Sep 18 • 33

FlowRL: Matching Reward Distributions for LLM Reasoning

Paper • 2509.15207 • Published Sep 18 • 113

SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning

Paper • 2509.09674 • Published Sep 11 • 79

A Survey of Reinforcement Learning for Large Reasoning Models

Paper • 2509.08827 • Published Sep 10 • 188