34 citations · 57 across the 14 of their papers we have counts for
16 papers
No Gaussian Required: Contrastive Inverse Dynamics for JEPA World Models
Jack Boylan, Chris Hokamp
Joint-Embedding Predictive Architectures (JEPAs) learn world models by predicting future embeddings, but the objective admits a trivial solution of a constant encoder, so every pra…
NegotiationGym: Self-Optimizing Agents in a Multi-Agent Social Simulation Environment
Shashank Mangla, Chris Hokamp, Jack Boylan +4
We design and implement NegotiationGym, an API and user interface for configuring and running multi-agent social simulations focused upon negotiation and cooperation. The Negotiati…
Narrative Studio: Visual narrative exploration using LLMs and Monte Carlo Tree Search
Parsa Ghaffari, Chris Hokamp
Interactive storytelling benefits from planning and exploring multiple 'what if' scenarios. Modern LLMs are useful tools for ideation and exploration, but current chat-based user i…
GLiREL -- Generalist Model for Zero-Shot Relation Extraction
Jack Boylan, Chris Hokamp, Demian Gholipour Ghalandari
We introduce GLiREL (Generalist Lightweight model for zero-shot Relation Extraction), an efficient architecture and training paradigm for zero-shot relation classification. Inspire…
STAGE: Simplified Text-Attributed Graph Embeddings Using Pre-trained LLMs
Aaron Zolnai-Lucas, Jack Boylan, Chris Hokamp +1
We present Simplified Text-Attributed Graph Embeddings (STAGE), a straightforward yet effective method for enhancing node features in Graph Neural Network (GNN) models that encode…
KGValidator: A Framework for Automatic Validation of Knowledge Graph Construction
Jack Boylan, Shashank Mangla, Dominic Thorn +3
This study explores the use of Large Language Models (LLMs) for automatic evaluation of knowledge graph (KG) completion models. Historically, validating information in KGs has been…