16 citations · 16 across the 4 of their papers we have counts for
5 papers
HARISSA: Inference-Time Self-Checks for Efficient and Safe Local Language Model Deployment
Kenan Alkiek, Moontae Lee, David Jurgens +1
Running a language model locally offers advantages in privacy, latency, and cost, but local hardware fits only small models, which are less capable than frontier models. The usual…
Instruction Retrieval at Inference Time for Small Language Models
Kenan Alkiek, David Jurgens, Vinod Vydiswaran
The facts a language model stores are tied to its parameter count, so small models that fit on edge devices fail on expert problems, which need specialized knowledge and follow mul…
Neurobiber: Fast and Interpretable Stylistic Feature Extraction
Kenan Alkiek, Anna Wegmann, Jian Zhu +1
Linguistic style is pivotal for understanding how texts convey meaning and fulfill communicative purposes, yet extracting detailed stylistic features at scale remains challenging.…
Position: Towards Bidirectional Human-AI Alignment
Hua Shen, Tiffany Knearem, Reshmi Ghosh +21
Recent advances in general-purpose AI underscore the urgent need to align AI systems with human goals and values. Yet, the lack of a clear, shared understanding of what constitutes…
Exploring Linguistic Style Matching in Online Communities: The Role of Social Context and Conversation Dynamics
Aparna Ananthasubramaniam, Hong Chen, Jason Yan +7
Linguistic style matching (LSM) in conversations can be reflective of several aspects of social influence such as power or persuasion. However, how LSM relates to the outcomes of o…