Causal-aware Anomaly Detection for Tabular Data
D Nguyen, TAH Nguyen, TD Le, S Venkatesh, T Le, S Gupta
International Conference on Machine Learning (ICML)
All research directions
Machine Reasoning
Plan-guided learning, structured inference, and reasoning capabilities in large language models.
Goals
To equip AI systems with structured reasoning — planning, multi-step inference, and grounded decision-making beyond pattern matching.
Overview
This research explores how large models perform structured reasoning and planning. Work includes plan-guided tuning, cross-lingual topic modeling with LLMs, and methods that improve logical and causal inference in foundation models.
Key topics
- Plan-guided learning and tuning
- Structured and multi-step inference
- Cross-lingual and topic reasoning with LLMs
- Causal and logical reasoning
News
Paper ... accepted at ...
Papers in this direction
LLM-XTM: Enhancing Cross-Lingual Topic Models with Large Language Models
MC Xuan, TP Nguyen, LN Van, DV Sang, NTN Diep, T Le
arXiv preprint arXiv:2605.03299