Papers by Jianmin Guo
ToolSafety: A Comprehensive Dataset for Enhancing Safety in LLM-Based Agent Tool Invocations (2025.emnlp-main)
Copied to clipboard
| Challenge: | Current models exhibit notable vulnerabilities in maintaining safety during multi-step tool interactions and in indirect harm scenarios. |
| Approach: | They propose a safety fine-tuning dataset to fine- tune LLMs into assistants . they propose to use synthesized trajectories and realistic, context-aware sample generation . |
| Outcome: | The proposed model maintains safety in multi-step and indirect harm scenarios with little impact on helpfulness. |
Superpose Task-specific Features for Model Merging (2025.emnlp-main)
Copied to clipboard
| Challenge: | Existing methods for model merging are limited by resource demands . recent studies validate the linear representation hypothesis . |
| Approach: | They propose a method that superposes task-specific features from individual models into a merged model. |
| Outcome: | The proposed method outperforms existing methods on multiple benchmarks and models. |