3 citations · 3 across the 3 of their papers we have counts for
3 papers
Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience
Prashanti Nilayam, Kiran Kumar Ramanna, Prashil Tumbade +1
Heterogeneous LLM debate is motivated by the promise that diverse peers correct one another, but the same exchange that carries correction also carries adversarial influence. We me…
Detection Without Correction: A Two-Parameter Decomposition of Multi-Stage LLM Pipelines
Prashanti Nilayam, Kiran Ramanna, Prashil Tumbade
Multi-stage LLM pipelines that perform multi-agent debate, intrinsic self-correction, or retrieval-augmented verification exhibit puzzling aggregate behaviors: accuracy plateaus an…
Exploring Zero and Few-shot Techniques for Intent Classification
Soham Parikh, Quaizar Vohra, Prashil Tumbade +1
Conversational NLU providers often need to scale to thousands of intent-classification models where new customers often face the cold-start problem. Scaling to so many customers pu…