2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2026
Davinci-Tool: Scaling Agentic Tool-Use Supervision with Verifiable Executable Environments
Xiaoyang Yuan, Ji Zhao, Xingyu Hu +7
Reliable agentic tool use requires training data that pair diverse multi-step workflows with executable evidence that the requested outcomes were achieved. Scaling either trajector…
cs.AI2026
MemArbiter: Decision-Time Memory Arbitration for Long-Horizon LLM Agents
Jiajun Dong, Yutao Hu, Fengrui Fan +3
Large language model (LLM) agents must retain and use cross-step information to act coherently in long-horizon tasks. Existing methods improve memory accessibility, yet action-rele…
cs.CV2023★ 2 cited
TinyLVLM-eHub: Towards Comprehensive and Efficient Evaluation for Large Vision-Language Models
Wenqi Shao, Meng Lei, Yutao Hu +8
Recent advancements in Large Vision-Language Models (LVLMs) have demonstrated significant progress in tackling complex multimodal tasks. Among these cutting-edge developments, Goog…