no code implementations • 24 Apr 2024 • John Bauer, Chloe Kiddon, Eric Yeh, Alex Shan, Christopher D. Manning
Searching dependency graphs and manipulating them can be a time consuming and challenging task to get right.
no code implementations • 20 Mar 2023 • Eric Yeh, Briland Hitaj, Vidyasagar Sadhu, Anirban Roy, Takuma Nakabayashi, Yoshito Tsuji
Of interest for architects is to use these methods to generate design proposals from conceptual sketches, usually hand-drawn sketches that are quickly developed and can embody a design intent.
no code implementations • 1 Mar 2023 • Eric Yeh, Briland Hitaj, Sam Owre, Maena Quemener, Natarajan Shankar
We evaluate CoProver on a series of well-established metrics originating from the recommender system and information retrieval communities, respectively.
no code implementations • 27 Feb 2023 • John Hester, Briland Hitaj, Grant Passmore, Sam Owre, Natarajan Shankar, Eric Yeh
Prior work has demonstrated that machine learning can be useful in determining efficient variable orderings.
no code implementations • 15 Jul 2022 • Eric Yeh, Pedro Sequeira, Jesse Hostetler, Melinda Gervasio
We present a novel generative method for producing unseen and plausible counterfactual examples for reinforcement learning (RL) agents based upon outcome variables that characterize agent behavior.
no code implementations • RANLP 2017 • Dayne Freitag, Paul Kalmar, Eric Yeh
We consider the problem of populating multi-part knowledge frames from textual information distributed over multiple sentences in a document.
no code implementations • LREC 2016 • Eric Yeh, John Niekrasz, Dayne Freitag, Richard Rohwer
We describe a method for identifying and performing functional analysis of structured regions that are embedded in natural language documents, such as tables or key-value lists.