Albert Gong

works on

benchmark 1 LLM agents 1 observability 1 root cause analysis 1 software reliability 1

From the 1 of 9 linked papers with an AI index.

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cs.CL2026

ORCA-bench: How Ready Are Language Model Agents for Oncall?

Albert Gong, Kyuseong Choi, Abhineet Agarwal +5

The paper presents ORCA-bench, a benchmark that evaluates large language model agents on on-call root cause analysis tasks using real telemetry data from a live microservice system…

cs.CL2026

$I ¨ $ -CoT: Prolog-Initialized Chain-of-Thought Prompting for Multi-Hop Question-Answering

Chao Wan, Albert Gong, Mihir Mishra +3

Chain-of-Thought (CoT) prompting significantly enhances large language models' (LLMs) problem-solving capabilities, but still struggles with complex multi-hop questions, often fall…

ORCA-bench: How Ready Are Language Model Agents for Oncall?

I¨-CoT: Prolog-Initialized Chain-of-Thought Prompting for Multi-Hop Question-Answering

$I ¨ $ -CoT: Prolog-Initialized Chain-of-Thought Prompting for Multi-Hop Question-Answering