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20242026
most citedAdaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization

2 citations · 4 across the 23 of their papers we have counts for

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8 papers · 1 filter

cs.CL2025

Think Before You Prune: Selective Self-Generated Calibration for Pruning Large Reasoning Models

Yang Xiang, Yixin Ji, Juntao Li +1

Large Reasoning Models (LRMs) have demonstrated remarkable performance on complex reasoning benchmarks. However, their long chain-of-thought reasoning processes incur significant i…

cs.CL2025

Evaluating and Improving Cultural Awareness of Reward Models for LLM Alignment

Hongbin Zhang, Kehai Chen, Xuefeng Bai +2

Reward models (RMs) are crucial for aligning large language models (LLMs) with diverse cultures. Consequently, evaluating their cultural awareness is essential for further advancin…

cs.CV2025

Beyond the Vision Encoder: Identifying and Mitigating Spatial Bias in Large Vision-Language Models

Yingjie Zhu, Xuefeng Bai, Kehai Chen +6

Large Vision-Language Models (LVLMs) have achieved remarkable success across a wide range of multimodal tasks, yet their robustness to spatial variations remains insufficiently und…

cs.CL2025★ 1 cited

KaLM-Embedding-V2: Superior Training Techniques and Data Inspire A Versatile Embedding Model

Xinping Zhao, Xinshuo Hu, Zifei Shan +14

Recent advancements in Large Language Models (LLMs)-based text embedding models primarily focus on data scaling or synthesis, yet limited exploration of training techniques and dat…

cs.AI2025

XBOUND: Exploring Capability Boundaries of Device-Control Agents at the State Level

Shaoqing Zhang, Kehai Chen, Zhuosheng Zhang +4

Recent advancements in vision-language models have increased interest in Device-Control Agents (DC agents) for managing graphical user interfaces (GUIs). With the growing complexit…

cs.CL2025

Evaluating and Steering Modality Preferences in Multimodal Large Language Model

Yu Zhang, Jinlong Ma, Yongshuai Hou +5

Multi-modal large language models (MLLMs) have achieved remarkable success on complex multi-modal tasks. However, it remains insufficiently explored whether they exhibit $\textbf{m…

cs.CV2025

A Survey: Spatiotemporal Consistency in Video Generation

Zhiyu Yin, Kehai Chen, Xuefeng Bai +7

Video generation aims to produce temporally coherent sequences of visual frames, representing a pivotal advancement in Artificial Intelligence Generated Content (AIGC). Compared to…

cs.CL2025

Exploring the Translation Mechanism of Large Language Models

Hongbin Zhang, Kehai Chen, Xuefeng Bai +3

While large language models (LLMs) demonstrate remarkable success in multilingual translation, their internal core translation mechanisms, even at the fundamental word level, remai…