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Vivek Datla

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#artificial intelligence Preprint Oct 2026

How To Train Your World Model: Fine-tuning vs RAG for LM-based World Modeling

World models (WMs) simulate the transition dynamics of environments, enabling agents to plan over the consequences of their actions. In text-based environments, fine-tuning a Language Model (LM) to serve as a WM has emerged as a dominant paradigm. However, despite the widespread success of non-parametric approaches suc...

Dhananjay Ashok, Shantanu Agarwal, Vivek Datla et al. · 0 citations
#natural language process... Preprint Sep 2026

VerTox: Verifiable Reward-Guided Corpus Poisoning Against Neural Ranking Models

This work proposes VerTox, the first framework to formulate corpus poisoning as a verifiable reward-guided reinforcement learning (RLVR) problem, and produces adversarial documents that frequently rank higher than target documents across major neural ranking architectures, as well as a proprietary commercial embedding...

Zhi-Qi Huang, Vivek Datla, Zhichao Xu et al. · 0 citations

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