activity
20202026
most citedLanguage Is Not All You Need: Aligning Perception with Language Models

164 citations · 430 across the 26 of their papers we have counts for

collaborators
Showing 2025Show all

8 papers · 1 filter

cs.CL2025

Code Aesthetics with Agentic Reward Feedback

Bang Xiao, Lingjie Jiang, Shaohan Huang +5

Large Language Models (LLMs) have become valuable assistants for developers in code-related tasks. While LLMs excel at traditional programming tasks such as code generation and bug…

cs.CL2025

Information-Preserving Reformulation of Reasoning Traces for Antidistillation

Jiayu Ding, Lei Cui, Li Dong +2

Recent advances in Large Language Models (LLMs) show that extending the length of reasoning chains significantly improves performance on complex tasks. While revealing these reason…

cs.CV2025

DocReward: A Document Reward Model for Structuring and Stylizing

Junpeng Liu, Yuzhong Zhao, Bowen Cao +17

Recent agentic workflows automate professional document generation but focus narrowly on textual quality, overlooking structural and stylistic professionalism, which is equally cri…

cs.CL2025

LongReasonArena: A Long Reasoning Benchmark for Large Language Models

Jiayu Ding, Shuming Ma, Lei Cui +2

Existing long-context benchmarks for Large Language Models (LLMs) focus on evaluating comprehension of long inputs, while overlooking the evaluation of long reasoning abilities. To…

cs.CL2025

Geometric-Mean Policy Optimization

Yuzhong Zhao, Yue Liu, Junpeng Liu +9

Group Relative Policy Optimization (GRPO) has significantly enhanced the reasoning capability of large language models by optimizing the arithmetic mean of token-level rewards. Unf…

cs.CL2025

Think Only When You Need with Large Hybrid-Reasoning Models

Lingjie Jiang, Xun Wu, Shaohan Huang +7

Recent Large Reasoning Models (LRMs) have shown substantially improved reasoning capabilities over traditional Large Language Models (LLMs) by incorporating extended thinking proce…

cs.CV2025

Model as a Game: On Numerical and Spatial Consistency for Generative Games

Jingye Chen, Yuzhong Zhao, Yupan Huang +5

Recent advances in generative models have significantly impacted game generation. However, despite producing high-quality graphics and adequately receiving player input, existing m…

cs.CV2025★ 1 cited

PEACE: Empowering Geologic Map Holistic Understanding with MLLMs

Yangyu Huang, Tianyi Gao, Haoran Xu +8

Geologic map, as a fundamental diagram in geology science, provides critical insights into the structure and composition of Earth's subsurface and surface. These maps are indispens…