activity
20162025
most citedProgramming with a Differentiable Forth Interpreter

91 citations · 104 across the 17 of their papers we have counts for

collaborators

21 papers

cs.AI2025

Tracking World States with Language Models: State-Based Evaluation Using Chess

Romain Harang, Jason Naradowsky, Yaswitha Gujju +1

Large Language Models (LLMs) exhibit emergent capabilities in structured domains, suggesting they may implicitly internalize high-fidelity representations of world models. While pr…

cs.CV2025

How Much Do Large Language Models Know about Human Motion? A Case Study in 3D Avatar Control

Kunhang Li, Jason Naradowsky, Yansong Feng +1

We explore the human motion knowledge of Large Language Models (LLMs) through 3D avatar control. Given a motion instruction, we prompt LLMs to first generate a high-level movement…

cs.SD2024

Does it Chug? Towards a Data-Driven Understanding of Guitar Tone Description

Pratik Sutar, Jason Naradowsky, Yusuke Miyao

Natural language is commonly used to describe instrument timbre, such as a "warm" or "heavy" sound. As these descriptors are based on human perception, there can be disagreement ov…

cs.CL2024★ 1 cited

Towards Implicit Bias Detection and Mitigation in Multi-Agent LLM Interactions

Angana Borah, Rada Mihalcea

As Large Language Models (LLMs) continue to evolve, they are increasingly being employed in numerous studies to simulate societies and execute diverse social tasks. However, LLMs a…

astro-ph.SR2024

A Foundation Model for the Solar Dynamics Observatory

James Walsh, Daniel G. Gass, Raul Ramos Pollan +7

SDO-FM is a foundation model using data from NASA's Solar Dynamics Observatory (SDO) spacecraft; integrating three separate instruments to encapsulate the Sun's complex physical in…

cs.MA2024

Self-Emotion Blended Dialogue Generation in Social Simulation Agents

Qiang Zhang, Jason Naradowsky, Yusuke Miyao

When engaging in conversations, dialogue agents in a virtual simulation environment may exhibit their own emotional states that are unrelated to the immediate conversational contex…