2 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…