3 citations · 5 across the 8 of their papers we have counts for
4 papers · 1 filter
OpaqueToolsBench: Learning Nuances of Tool Behavior Through Interaction
Skyler Hallinan, Thejas Venkatesh, Xiang Ren +4
Tool-calling is essential for Large Language Model (LLM) agents to complete real-world tasks. While most existing benchmarks assume simple, perfectly documented tools, real-world t…
Robust Uncertainty Quantification for Factual Generation of Large Language Models
Yuhao Zhang, Zhongliang Yang, Linna Zhou
The rapid advancement of large language model(LLM) technology has facilitated its integration into various domains of professional and daily life. However, the persistent challenge…
A One-Layer Decoder-Only Transformer is a Two-Layer RNN: With an Application to Certified Robustness
Yuhao Zhang, Aws Albarghouthi, Loris D'Antoni
This paper reveals a key insight that a one-layer decoder-only Transformer is equivalent to a two-layer Recurrent Neural Network (RNN). Building on this insight, we propose ARC-Tra…
Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models
Yi Luo, Zhenghao Lin, Yuhao Zhang +7
Large Language Models (LLMs) exhibit impressive capabilities but also present risks such as biased content generation and privacy issues. One of the current alignment techniques in…