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20242026
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cs.CL2025

TheMCPCompany: Creating General-purpose Agents with Task-specific Tools

Reza Esfandiarpoor, Vishwas Suryanarayanan, Stephen H. Bach +2

Since the introduction of the Model Context Protocol (MCP), the number of available tools for Large Language Models (LLMs) has increased significantly. These task-specific tool set…

cs.CL2025

Can We Predict Alignment Before Models Finish Thinking? Towards Monitoring Misaligned Reasoning Models

Yik Siu Chan, Zheng-Xin Yong, Stephen H. Bach

Reasoning language models improve performance on complex tasks by generating long chains of thought (CoTs), but this process can also increase harmful outputs in adversarial settin…

cs.CL2025

The State of Multilingual LLM Safety Research: From Measuring the Language Gap to Mitigating It

Zheng-Xin Yong, Beyza Ermis, Marzieh Fadaee +2

This paper presents a comprehensive analysis of the linguistic diversity of LLM safety research, highlighting the English-centric nature of the field. Through a systematic review o…

cs.CL2025

Crosslingual Reasoning through Test-Time Scaling

Zheng-Xin Yong, M. Farid Adilazuarda, Jonibek Mansurov +7

Reasoning capabilities of large language models are primarily studied for English, even when pretrained models are multilingual. In this work, we investigate to what extent English…

cs.CL2025

Planetarium: A Rigorous Benchmark for Translating Text to Structured Planning Languages

Max Zuo, Francisco Piedrahita Velez, Xiaochen Li +2

Recent works have explored using language models for planning problems. One approach examines translating natural language descriptions of planning tasks into structured planning l…

cs.CL2024

If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions

Reza Esfandiarpoor, Cristina Menghini, Stephen H. Bach

Recent works often assume that Vision-Language Model (VLM) representations are based on visual attributes like shape. However, it is unclear to what extent VLMs prioritize this inf…