2 citations · 3 across the 7 of their papers we have counts for
4 papers · 1 filter
TokenEconomizer: Experience-Driven Black-Box Cost Control for Coding Agents
Aaron J. Li, Weijia Xu, Chandan Singh +8
Advances in frontier coding agents have sharply increased the token costs of AI-assisted software engineering. Their token efficiency is typically evaluated on isolated tasks, wher…
OMNIGUARD: An Efficient Approach for AI Safety Moderation Across Languages and Modalities
Sahil Verma, Keegan Hines, Jeff Bilmes +4
The emerging capabilities of large language models (LLMs) have sparked concerns about their immediate potential for harmful misuse. The core approach to mitigate these concerns is…
AttentionDefense: Leveraging System Prompt Attention for Explainable Defense Against Novel Jailbreaks
Charlotte Siska, Anush Sankaran
In the past few years, Language Models (LMs) have shown par-human capabilities in several domains. Despite their practical applications and exceeding user consumption, they are sus…
Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks
Melissa Ailem, Katerina Marazopoulou, Charlotte Siska +1
Benchmarks have emerged as the central approach for evaluating Large Language Models (LLMs). The research community often relies on a model's average performance across the test pr…