works on

From the 1 of 9 linked papers with an AI index.

collaborators

9 papers

cs.LG2026

One QK Channel, Many Sources: Guarding Low-Precision Attention Collapse

Shuxiao Xie, Shuyang Xie, Yuan Cao +3

A bfloat16 transformer can train normally for many steps and then collapse abruptly. Distinct low-precision errors can trigger the same failure, leaving unclear whether each source…

cs.SE2026

BackendForge: Benchmarking Agentic End-to-End Code Generation with Backend Services

Yuzhe Guo, Mengzhou Wu, Yuan Cao +4

The paper presents BackendForge, a benchmark that evaluates how well agentic large language models can generate complete, deployable backend services from OpenAPI specifications, u…

cs.AR2026

Bridging the Last Mile of Circuit Design: PostEDA-Bench, a Hierarchical Benchmark for PPA Convergence and DRC Fixing

Pengju Liu, Nuo Xu, Jinwei Tang +2

LLM-based agents are increasingly applied to the "last mile" of Electronic Design Automation (EDA): repairing residual sign-off Design Rule Check (DRC) violations and converging Po…

cs.AI2026

An Empirical Study and Theoretical Explanation on Task-Level Model-Merging Collapse

Yuan Cao, Dezhi Ran, Yuzhe Guo +5

Model merging unifies independently fine-tuned LLMs from the same base, enabling reuse and integration of parallel development efforts without retraining. However, in practice we o…

cs.LG2026

UI-Oceanus: Scaling GUI Agents with Synthetic Environmental Dynamics

Mengzhou Wu, Yuzhe Guo, Yuan Cao +16

Scaling generalist GUI agents is hindered by the data scalability bottleneck of expensive human demonstrations and the "distillation ceiling" of synthetic teacher supervision. To t…

cs.SE2025

From User Interface to Agent Interface: Efficiency Optimization of UI Representations for LLM Agents

Dezhi Ran, Zhi Gong, Yuzhe Guo +10

While Large Language Model (LLM) agents show great potential for automated UI navigation such as automated UI testing and AI assistants, their efficiency has been largely overlooke…