92 citations · 100 across the 3 of their papers we have counts for
4 papers
When Search Agents Should Ask: DiscoBench for Clarification-Aware Deep Search
Yiling Tao, Shihan Deng, Meiling Tao +3
Search agents powered by large language models (LLMs) are increasingly used to solve complex information-seeking tasks, requiring multi-step retrieval and reasoning to fulfill user…
PASG: A Closed-Loop Framework for Automated Geometric Primitive Extraction and Semantic Anchoring in Robotic Manipulation
Zhihao Zhu, Yifan Zheng, Siyu Pan +2
The fragmentation between high-level task semantics and low-level geometric features remains a persistent challenge in robotic manipulation. While vision-language models (VLMs) hav…
AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents
Chang Ma, Junlei Zhang, Zhihao Zhu +6
Evaluating Large Language Models (LLMs) as general-purpose agents is essential for understanding their capabilities and facilitating their integration into practical applications.…
C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models
Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu +10
New NLP benchmarks are urgently needed to align with the rapid development of large language models (LLMs). We present C-Eval, the first comprehensive Chinese evaluation suite desi…