activity
20242026
most citedLogic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

3 citations · 3 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2026

RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System

Yinjie Wang, Tianbao Xie, Ke Shen +2

We propose RLAnything, a reinforcement learning framework that dynamically forges environment, policy, and reward models through closed-loop optimization, amplifying learning signa…

cs.CL2025

Can LLMs Generate Reliable Test Case Generators? A Study on Competition-Level Programming Problems

Yuhan Cao, Zian Chen, Kun Quan +17

Large Language Models (LLMs) have demonstrated remarkable capabilities in code generation, capable of tackling complex tasks during inference. However, the extent to which LLMs can…

cs.CV2025

ViaRL: Adaptive Temporal Grounding via Visual Iterated Amplification Reinforcement Learning

Ziqiang Xu, Qi Dai, Tian Xie +5

Video understanding is inherently intention-driven-humans naturally focus on relevant frames based on their goals. Recent advancements in multimodal large language models (MLLMs) h…

cs.CV2025

Sage Deer: A Super-Aligned Driving Generalist Is Your Copilot

Hao Lu, Jiaqi Tang, Jiyao Wang +14

The intelligent driving cockpit, an important part of intelligent driving, needs to match different users' comfort, interaction, and safety needs. This paper aims to build a Super-…

cs.AI2025

Shorten After You're Right: Lazy Length Penalties for Reasoning RL

Danlong Yuan, Tian Xie, Shaohan Huang +5

Large reasoning models, such as OpenAI o1 or DeepSeek R1, have demonstrated remarkable performance on reasoning tasks but often incur a long reasoning path with significant memory…

cs.CL2025★ 3 cited

Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

Tian Xie, Zitian Gao, Qingnan Ren +7

Inspired by the success of DeepSeek-R1, we explore the potential of rule-based reinforcement learning (RL) in large reasoning models. To analyze reasoning dynamics, we use syntheti…

cs.LG2024

Optimizing Medication Decisions for Patients with Atrial Fibrillation through Path Development Network

Tian Xie

Atrial fibrillation (AF) is a common cardiac arrhythmia characterized by rapid and irregular contractions of the atria. It significantly elevates the risk of strokes due to slowed…