Papers by Anish Nediyanchath
MARCO: Multi-Agent Real-time Chat Orchestration (2024.emnlp-industry)
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Anubhav Shrimal, Stanley Kanagaraj, Kriti Biswas, Swarnalatha Raghuraman, Anish Nediyanchath, Yi Zhang, Promod Yenigalla
| Challenge: | MARCO is a multi-agent real-time chat orchestration framework for automating workflows that require interactions with tools, reasoning, and human collaboration. |
| Approach: | They propose a multi-agent real-time chat orchestration framework for automating workflows using LLMs. |
| Outcome: | The proposed framework performs with 94.48% accuracy and 92.74% accuracy on restaurant and retail conversations datasets and 44.91% improved latency and 33.71% cost reduction in a production setting. |
<SYNTACT>: Structuring Your Natural Language SOPs into Tailored Ambiguity-Resolved Code Templates (2025.emnlp-industry)
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Sachin Kumar Giroh, Pushpendu Ghosh, Aryan Jain, Harshal Giridhari Paunikar, Aditi Rastogi, Promod Yenigalla, Anish Nediyanchath
| Challenge: | Unstructured and ambiguous Standard Operating Procedures suffer from ambiguity, missing information, and inconsistency, all of which hinder automation. |
| Approach: | They propose a three-stage LLM framework that transforms unstructured SOPs into a structured plan and an executable code template. |
| Outcome: | The proposed framework shows an 88.4% accuracy and significant reduction in inconsistency on real-world SOPs and synthetic variants. |