1 citations · 1 across the 12 of their papers we have counts for
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TriFleetRCA: On-Premise LLM Root Cause Analysis for Kubernetes
Rohit Patel, Susil Kumar Mohanty, Jeenal Chaudhary
Root cause analysis at a remote site is slow: evidence is scattered across pod logs, Kubernetes events and cluster-level objects, and many operators cannot send production logs to…
TriCalRAG: A Three-Strategy, Retrieval-Augmented Benchmark for On-Premise LLM-Based Root Cause Analysis in AIOps
Rohit Patel, Susil Kumar Mohanty, Jeenal Chaudhary
Operational logs create a need for private, resource-efficient incident analysis, but aggregate detection scores can conceal severe prediction bias. We present TriCalRAG, a reprodu…
CT: Counterfactual Causal Reasoning for Sentiment Shifts in Social-Media Conversation Trees
S M Rafiuddin, Atriya Sen
Sentiment in social-media threads does not only vary across posts; it shifts as users react to claims, corrections, evidence, and hostility within a branching reply tree. We study…
Modality Maturity Index: A benchmark for assessing multimodal capabilities of omni models
Rohit Patel, Dieuwke Hupkes, Sloan Strader
Frontier language models are increasingly marketed as omni systems that can perceive and respond across modalities. Existing evaluation frameworks, however, focus almost exclusivel…
TriShieldRAG: 3 Rings, One Blind Spot in Layered Defenses for Retrieval-Augmented Generation
Susil Kumar Mohanty, Rohit Patel, Kosuru Yuvaraj +2
Retrieval-Augmented Generation (RAG) grounds LLM answers in query-time retrieved documents, so reliability depends on what the retriever returns. PoisonedRAG (Zou et al., USENIX Se…
GIM: Evaluating models via tasks that integrate multiple cognitive domains
Rohit Patel, Alexandre Rezende, Steven McClain
As LLM benchmarks saturate, the evaluation community has pursued two strategies to increase difficulty: escalating knowledge demands (GPQA, HLE) or removing knowledge entirely in f…