LLMs Can Generate a Better Answer by Aggregating Their Own Responses — mentioned by selecsosi

Sat, 28 Feb 2026 19:40:43 GMT

This was my approach when using agents to analyze HVAC IoT data doing anomaly detection / investigations and it similarly worked very well. Mix that with some context like install location, geographic features with some context / info on seasonality (like ASHRAE values for the regions), and some classification like (residential / commercial), the bot was quite able to deliver actual insights into problems vs creating a bunch of excess noise. We also mixed in some GSA (https://arxiv.org/abs/2503.04104) steps during the analysis in the sub agents to further reduce hallucinations

Paper and discussion history. A mention is not an endorsement.

LLMs Can Generate a Better Answer by Aggregating Their Own Responses · HackerPapers discussions

LLMs Can Generate a Better Answer by Aggregating Their Own Responses — mentioned by selecsosi