3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.AI2026
BoardSafety: AI-Ready Data from Manufacturer Documentation for Development-Board Safety
Linjian Yang, Xinyan Wang, Kunpeng Liu
The development of large language models (LLMs) are capable to assist with hardware experiments. In this scenario, this raises a practical question: Can LLMs determine whether a pr…
cs.CL2024★ 3 cited
RATT: A Thought Structure for Coherent and Correct LLM Reasoning
Jinghan Zhang, Xiting Wang, Weijieying Ren +3
Large Language Models (LLMs) gain substantial reasoning and decision-making capabilities from thought structures. However, existing methods such as Tree of Thought and Retrieval Au…
cs.LG2023
T-SaS: Toward Shift-aware Dynamic Adaptation for Streaming Data
Weijieying Ren, Tianxiang Zhao, Wei Qin +1
In many real-world scenarios, distribution shifts exist in the streaming data across time steps. Many complex sequential data can be effectively divided into distinct regimes that…