3 papers
cs.LG2026
Causal Variational Deep Embedding: A Family of Interventional Generators for Confounded Images
Jingyuan Chen, Kangrui Ruan, Junzhe Zhang
Deep generative models reproduce the observational distribution of their training data, inheriting any spurious associations it contains. A common source is an unobserved confounde…
cs.LG2026
Empowering Multi-Turn Tool-Integrated Agentic Reasoning with Group Turn Policy Optimization
Yifeng Ding, Hung Le, Songyang Han +5
Training Large Language Models (LLMs) for multi-turn Tool-Integrated Reasoning (TIR) - where models iteratively reason, generate code, and verify through execution - remains challe…
cs.LG2024
From Twitter to Reasoner: Understand Mobility Travel Modes and Sentiment Using Large Language Models
Kangrui Ruan, Xinyang Wang, Xuan Di
Social media has become an important platform for people to express their opinions towards transportation services and infrastructure, which holds the potential for researchers to…