4 papers
Binding Drift in Multi-Step Tool-Augmented Agents
Rahul Suresh Babu, Shashank Indukuri
Tool-augmented language-model agents execute multi-step workflows over external systems, resolving an entity once and then acting on it across subsequent steps. Prior work shows th…
Grounded Optimization: A Layered Engineering Framework for Reducing LLM Hallucination in Automated Personal Document Rewriting
Shashank Indukuri, Adarsh Agrawal
Large language models (LLMs) are increasingly applied to resume optimization for applicant tracking systems, introducing hallucination failures distinct from general text generatio…
Entity Binding Failures in Tool-Augmented Agents
Rahul Suresh Babu, Shashank Indukuri
Tool-augmented language-model agents are often evaluated by whether they select the correct tool, produce valid API arguments, and complete the requested task. However, an agent ma…
Schema-First Retrieval: Embedding Catalogs for Natural Language Analytics
Adarsh Agrawal, Shashank Indukuri
Enterprise text-to-SQL systems often fail before SQL is generated: the model receives the wrong schema context. Modern warehouses contain thousands of tables, abbreviated columns,…