33 citations · 166 across the 51 of their papers we have counts for
5 papers · 1 filter
Learning the Error Patterns of Language Models
Jinwoo Kim, Taylor Berg-KirkPatrick, Loris D'Antoni
When generating outputs for domains with specific validity constraints (e.g., a program should compile), LLMs often fail in a small number of focused ways: for example, by using Py…
Manifold-Guided Attention Steering
Ian Li, Kapilesh Guruprasad, Raunak Sengupta +3
Large language models frequently produce errors in reasoning tasks despite possessing the underlying knowledge required for correct reasoning. One possible approach to improve reas…
Language-Based Agent Control
Timothy Zhou, Loris D'Antoni, Nadia Polikarpova
This paper introduces language-based agent control (LBAC), a new programming model for agentic applications that brings techniques from programming languages and language-based sec…
The Format Tax
Ivan Yee Lee, Loris D'Antoni, Taylor Berg-Kirkpatrick
Asking a large language model to respond in JSON should be a formatting choice, not a capability tax. Yet we find that structured output requirements -- JSON, XML, LaTeX, Markdown…
Continuous Diffusion Models Can Obey Formal Syntax
Jinwoo Kim, Taylor Berg-Kirkpatrick, Loris D'Antoni
Diffusion language models offer a promising alternative to autoregressive models due to their global, non-causal generation process, but their continuous latent dynamics make discr…