7 citations · 17 across the 11 of their papers we have counts for
4 papers · 1 filter
ToolLibGen: Scalable Automatic Tool Creation and Aggregation for LLM Reasoning
Murong Yue, Zhiwei Liu, Liangwei Yang +8
Large Language Models (LLMs) equipped with external tools have demonstrated enhanced performance on complex reasoning tasks. The widespread adoption of this tool-augmented reasonin…
Can LLMs Simulate Personas with Reversed Performance? A Systematic Investigation for Counterfactual Instruction Following in Math Reasoning Context
Sai Adith Senthil Kumar, Hao Yan, Saipavan Perepa +2
Large Language Models (LLMs) are now increasingly widely used to simulate personas in virtual environments, leveraging their instruction-following capability. However, we discovere…
A Survey of Large Language Model Agents for Question Answering
Murong Yue
This paper surveys the development of large language model (LLM)-based agents for question answering (QA). Traditional agents face significant limitations, including substantial da…
Efficient but Vulnerable: Benchmarking and Defending LLM Batch Prompting Attack
Murong Yue, Ziyu Yao
Batch prompting, which combines a batch of multiple queries sharing the same context in one inference, has emerged as a promising solution to reduce inference costs. However, our s…