Ximing Lu

Ximing's activity

• All
• Models
• Datasets
• Spaces
• Papers
• Collections
• Community
• Posts
• Upvotes
• Likes
• Articles

upvoted an article 6 days ago

view article

Article

Can Your LLM Think Like a Professional? Introducing ProfBench

By and 7 others •

6 days ago

• 14

published an article 6 days ago

view article

Article

Can Your LLM Think Like a Professional? Introducing ProfBench

By and 7 others •

6 days ago

• 14

upvoted 2 papers about 1 month ago

BroRL: Scaling Reinforcement Learning via Broadened Exploration

Paper • 2510.01180 • Published Oct 1 • 17

DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search

Paper • 2509.25454 • Published Sep 29 • 136

upvoted a paper 3 months ago

The Invisible Leash: Why RLVR May Not Escape Its Origin

Paper • 2507.14843 • Published Jul 20 • 84

upvoted a paper 5 months ago

ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models

Paper • 2505.24864 • Published May 30 • 138

updated a dataset about 1 year ago

Ximing/BookMIA_paraphrase

Viewer • Updated Oct 22, 2024 • 453 • 4

authored a paper about 1 year ago

StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements

Paper • 2408.15666 • Published Aug 28, 2024 • 11

authored a paper over 1 year ago

WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models

Paper • 2406.18510 • Published Jun 26, 2024 • 9

updated a dataset over 1 year ago

Ximing/ROCStories

Viewer • Updated Feb 26, 2024 • 19.8k • 107 • 1

authored 3 papers almost 2 years ago

Localized Symbolic Knowledge Distillation for Visual Commonsense Models

Paper • 2312.04837 • Published Dec 8, 2023 • 3

The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning

Paper • 2312.01552 • Published Dec 4, 2023 • 32

Tailoring Self-Rationalizers with Multi-Reward Distillation

Paper • 2311.02805 • Published Nov 6, 2023 • 7

authored a paper about 2 years ago

The Generative AI Paradox: "What It Can Create, It May Not Understand"

Paper • 2311.00059 • Published Oct 31, 2023 • 20