collaborators

5 papers

physics.comp-ph2026

SimulCost: A Cost-Aware Benchmark and Toolkit for Automating Physics Simulations with LLMs

Yadi Cao, Sicheng Lai, Jiahe Huang +12

Evaluating LLM agents for scientific tasks has focused on token costs while ignoring tool-use costs like simulation time and experimental resources. As a result, metrics like pass@…

cs.CV2026

GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents

V Team, Wenyi Hong, Xiaotao Gu +94

We present GLM-5V-Turbo, a step toward native foundation models for multimodal agents. As foundation models are increasingly deployed in real environments, agentic capability depen…

cs.CL2026

Hierarchical Alignment: Enforcing Hierarchical Instruction-Following in LLMs through Logical Consistency

Shu Yang, Zihao Zhou, Di Wang +1

Large language models increasingly operate under multiple instructions from heterogeneous sources with different authority levels, including system policies, user requests, tool ou…

cs.CV2026

EruDiff: Refactoring Knowledge in Diffusion Models for Advanced Text-to-Image Synthesis

Xiefan Guo, Xinzhu Ma, Haoxiang Ma +2

Text-to-image diffusion models have achieved remarkable fidelity in synthesizing images from explicit text prompts, yet exhibit a critical deficiency in processing implicit prompts…

cs.CL2025

AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models

Dong Shu, Chong Zhang, Mingyu Jin +3

Jailbreak attacks represent one of the most sophisticated threats to the security of large language models (LLMs). To deal with such risks, we introduce an innovative framework tha…