papers

Publications (7)

cs.CL2026

Are LLMs Ready to Assist Physicians? PhysAssistBench for Interactive Doctor-Patient-EHR Assistance

Tianming Du, Peijie Yu, Sihan Shang +12

The most plausible near-term role of medical LLMs is to assist rather than replace physicians, yet current evaluations often test isolated capabilities: clinical knowledge, EHR sys…

cs.CL2024

Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent

Xingwu Sun, Yanfeng Chen, Yiqing Huang +105

In this paper, we introduce Hunyuan-Large, which is currently the largest open-source Transformer-based mixture of experts model, with a total of 389 billion parameters and 52 bill…

cs.AI2026

Hunt Instead of Wait: Evaluating Deep Data Research on Large Language Models

Wei Liu, Peijie Yu, Michele Orini +2

The agency expected of Agentic Large Language Models goes beyond answering correctly, requiring autonomy to set goals and decide what to explore. We term this investigatory intelli…

cs.AI2025

Multi-Mission Tool Bench: Assessing the Robustness of LLM based Agents through Related and Dynamic Missions

Peijie Yu, Yifan Yang, Jinjian Li +4

Large language models (LLMs) demonstrate strong potential as agents for tool invocation due to their advanced comprehension and planning capabilities. Users increasingly rely on LL…

cs.HC2026

Benchmarking LLM Tool-Use in the Wild

Peijie Yu, Wei Liu, Yifan Yang +4

Fulfilling user needs through Large Language Model multi-turn, multi-step tool-use is rarely a straightforward process. Real user interactions are inherently wild, being intricate,…

cs.AI2025

-Bench: The Things Real Disturbing LLM based Agent in Multi-Tasking

Peijie Yu, Yifan Yang, Jinjian Li +4

Agents based on large language models leverage tools to modify environments, revolutionizing how AI interacts with the physical world. Unlike traditional NLP tasks that rely solely…

cs.CL2025

Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought

Tencent Hunyuan Team, Ao Liu, Botong Zhou +248

As Large Language Models (LLMs) rapidly advance, we introduce Hunyuan-TurboS, a novel large hybrid Transformer-Mamba Mixture of Experts (MoE) model. It synergistically combines Mam…