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Austin Feng

2 accepted papers

2026

Optimal Self-Consistency for Efficient Reasoning with Large Language Models

ICML 2026poster

Self-consistency (SC) is a widely-used test-time inference technique for improving performance in chain-of-thought reasoning. It consists of generating multiple responses, or ``samples," from a large language model (LLM) and selecting the most frequent answer. This procedure can naturally be viewed …

Cited by 0SourceScholar
2026

TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis

ICML 2026poster

Modern enterprises generate vast streams of time series metrics when monitoring complex systems, known as observability data. Unlike conventional time series from domains such as climate, observability data are zero-inflated, highly stochastic, and exhibit minimal temporal structure. Despite their i…

Cited by 0SourceScholar