activity
20222026
most citedTool Learning with Foundation Models

33 citations · 49 across the 17 of their papers we have counts for

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Showing 2025Show all

5 papers · 1 filter

cs.CL2025

Presenting a Paper is an Art: Self-Improvement Aesthetic Agents for Academic Presentations

Chengzhi Liu, Yuzhe Yang, Kaiwen Zhou +5

The promotion of academic papers has become an important means of enhancing research visibility. However, existing automated methods struggle limited storytelling, insufficient aes…

cs.LG2025

SharpZO: Hybrid Sharpness-Aware Vision Language Model Prompt Tuning via Forward-Only Passes

Yifan Yang, Zhen Zhang, Rupak Vignesh Swaminathan +3

Fine-tuning vision language models (VLMs) has achieved remarkable performance across various downstream tasks; yet, it requires access to model gradients through backpropagation (B…

cs.CL2025

Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space

Zhen Zhang, Xuehai He, Weixiang Yan +5

Human cognition typically involves thinking through abstract, fluid concepts rather than strictly using discrete linguistic tokens. Current reasoning models, however, are constrain…

cs.RO2025

APEX: Empowering LLMs with Physics-Based Task Planning for Real-time Insight

Wanjing Huang, Weixiang Yan, Zhen Zhang +1

Large Language Models (LLMs) demonstrate strong reasoning and task planning capabilities but remain fundamentally limited in physical interaction modeling. Existing approaches inte…

cs.LG2025

MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models

Zhen Zhang, Yifan Yang, Kai Zhen +4

Large language models have demonstrated exceptional capabilities across diverse tasks, but their fine-tuning demands significant memory, posing challenges for resource-constrained…