6 papers
Multi-Turn Reflective Masking Elicits Reasoning in Mask Diffusion Models
Yanming Zhang, Yihan Bian, Jingyuan Qi +3
While reasoning on autoregressive (AR) models is often performed by chain-of-thought reasoning and reflection, their refinement of previous outputs still relies on fully sequential…
What-If Analysis of Large Language Models: Explore the Game World Using Proactive Thinking
Yuan Sui, Yanming Zhang, Yi Liao +5
LLMs struggle with decision-making in high-stakes environments like MOBA games, primarily due to a lack of proactive reasoning and limited understanding of complex game dynamics. T…
XplainAct: Visualization for Personalized Intervention Insights
Yanming Zhang, Krishnakumar Hegde, Klaus Mueller
Causality helps people reason about and understand complex systems, particularly through what-if analyses that explore how interventions might alter outcomes. Although existing met…
V2Edit: Versatile Video Diffusion Editor for Videos and 3D Scenes
Yanming Zhang, Jun-Kun Chen, Jipeng Lyu +1
This paper introduces VEdit, a novel training-free framework for instruction-guided video and 3D scene editing. Addressing the critical challenge of balancing original content…
A Novel Approach to Eliminating Hallucinations in Large Language Model-Assisted Causal Discovery
Grace Sng, Yanming Zhang, Klaus Mueller
The increasing use of large language models (LLMs) in causal discovery as a substitute for human domain experts highlights the need for optimal model selection. This paper presents…
CausalChat: Interactive Causal Model Development and Refinement Using Large Language Models
Yanming Zhang, Akshith Kota, Eric Papenhausen +1
Causal networks are widely used in many fields to model the complex relationships between variables. A recent approach has sought to construct causal networks by leveraging the wis…