collaborators

12 papers

cs.CV2026

GUI-Lens: Coarse-to-Fine Cropping for GUI Grounding with General-Purpose VLMs

Zichuan Fu, Shirong Wang, Wenlin Zhang +10

GUI grounding maps natural-language instructions to click locations and is essential for reliable GUI agents. The task remains difficult on high-resolution, densely populated inter…

cs.LG2026

BRIDGE: Bridging Reasoning In Distillation Gap Elimination via Structure-Aware Masking

Bowen Yu, Sheng Zhang, Binhao Wang +8

Chain-of-Thought (CoT) reasoning has significantly improved LLMs' mathematical problem-solving capabilities, but distilling such capabilities into smaller models remains challengin…

cs.AI2026

LLM-as-Code: Agentic Programming for Agent Harness

Junjia Qi, Zichuan Fu, Jingtong Gao +4

Every major LLM agent framework gives the LLM the role of orchestrator; the model decides what to do next, when to call tools, and when to stop. We argue that token explosion, cont…

cs.IR2026

Reinforced Preference Optimization for Reasoning-Augmented Recommendations

Jingtong Gao, Zeyu Song, Chi Lu +7

Recommender systems are critical for delivering personalized content across digital platforms, and recent advances in Large Language Models (LLMs) offer new opportunities to enhanc…

cs.LG2026

Strategic Over-Parameterization for Generalizable Low-Rank Adaptation

Jing Gao, Zhong-Yi Lu, Pan Zhang +1

Adapting large language models (LLMs) to downstream tasks via full fine-tuning is increasingly impractical due to its computational and memory demands. Parameter-efficient fine-tun…

cs.CL2026

LegalDrill: Diagnosis-Driven Synthesis for Legal Reasoning in Small Language Models

Tianchun Li, Haochen Liu, Vishwa Pardeshi +5

Small language models (SLMs) are promising for real-world deployment due to their efficiency and low operational cost. However, their limited capacity struggles with high-stakes le…