<?xml version="1.0" encoding="UTF-8" standalone="no"?><rss xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:webfeeds="http://webfeeds.org/rss/1.0" version="2.0"><channel><title>Thoughtworks Research</title><atom:link href="/rss/thoughtworks-research.xml" rel="self" type="application/rss+xml"/><ttl>60</ttl><link>https://research.thoughtworks.com</link><description>A global technology consultancy that integrates strategy, design and engineering to drive digital innovation</description><webfeeds:icon>https://research.thoughtworks.com/etc.clientlibs/thoughtworks/clientlibs/clientlib-site/resources/images/favicon.svg</webfeeds:icon><webfeeds:logo>https://research.thoughtworks.com/etc.clientlibs/thoughtworks/clientlibs/clientlib-site/resources/images/favicon.svg</webfeeds:logo><item><title>Concept consistency score</title><pubDate>Fri Feb 27 00:00:00 UTC 2026</pubDate><link>https://research.thoughtworks.com/q1-2026#Concept consistency score</link><author>Phillip Howard, Parag Mahajani</author><description><![CDATA[<div><img src="https://research.thoughtworks.com/content/dam/thoughtworks-research/meta-images/tw_research_meta.jpg" class="type:primaryImage webfeedsFeaturedVisual"></div><p>Concept consistency score</p>]]></description><content:encoded><![CDATA[<div><img src="https://research.thoughtworks.com/content/dam/thoughtworks-research/meta-images/tw_research_meta.jpg" class="type:primaryImage webfeedsFeaturedVisual"></div><p>Concept consistency score</p>]]></content:encoded><guid>https://research.thoughtworks.com/q1-2026#Concept consistency score</guid></item><item><title>p-less Sampling</title><pubDate>Mon Dec 15 00:00:00 UTC 2025</pubDate><link>https://research.thoughtworks.com/q4-2025#p-less-sampling</link><author>Runyan Tan,  Shuang Wu, Phillip Howard, Parag Mahajani</author><description><![CDATA[<div><img src="https://research.thoughtworks.com/content/dam/thoughtworks-research/meta-images/tw_research_meta.jpg" class="type:primaryImage webfeedsFeaturedVisual"></div><p>p-less Sampling</p>]]></description><content:encoded><![CDATA[<div><img src="https://research.thoughtworks.com/content/dam/thoughtworks-research/meta-images/tw_research_meta.jpg" class="type:primaryImage webfeedsFeaturedVisual"></div><p>p-less Sampling</p>]]></content:encoded><guid>https://research.thoughtworks.com/q4-2025#p-less-sampling</guid></item><item><title>P-less Sampling: A robust hyperparameter-free approach for LLM decoding</title><pubDate>Mon Dec 15 00:00:00 UTC 2025</pubDate><link>https://research.thoughtworks.com/q3-2025#P-less Sampling: A robust hyperparameter-free approach for LLM decoding</link><author>By Runyan Tan, Phillip Howard and Shuang Wu</author><description><![CDATA[<div><img src="https://research.thoughtworks.com#" class="type:primaryImage webfeedsFeaturedVisual"></div><p>P-less Sampling: A robust 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refusal</p>]]></description><content:encoded><![CDATA[<div><img src="https://research.thoughtworks.com#" class="type:primaryImage webfeedsFeaturedVisual"></div><p>Beyond I am sorry, I can’t: dissecting large language model refusal</p>]]></content:encoded><guid>https://research.thoughtworks.com/q3-2025#Beyond I am sorry, I can’t: dissecting large language model refusal</guid></item><item><title>Distribution-aware feature selection for SAEs </title><pubDate>Mon Dec 15 00:00:00 UTC 2025</pubDate><link>https://research.thoughtworks.com/q3-2025#Distribution-aware feature selection for SAEs</link><author>By Narmeen Oozeer, Nirmalendu Prakash, Michael Lan, Alice Rigg and Amirali Abdullah</author><description><![CDATA[<div><img src="https://research.thoughtworks.com#" class="type:primaryImage webfeedsFeaturedVisual"></div><p>Distribution-aware feature selection for SAEs </p>]]></description><content:encoded><![CDATA[<div><img src="https://research.thoughtworks.com#" class="type:primaryImage webfeedsFeaturedVisual"></div><p>Distribution-aware feature selection for SAEs </p>]]></content:encoded><guid>https://research.thoughtworks.com/q3-2025#Distribution-aware feature selection for SAEs</guid></item><item><title>TinySQL</title><pubDate>Mon Dec 15 00:00:00 UTC 2025</pubDate><link>https://research.thoughtworks.com/q1-2025#TinySQL</link><author>By Abir Harrasse, Philip Quirke, Clement Neo, Dhruv Nathawani, Luke Marks and Amir Abdullah </author><description><![CDATA[<div><img src="https://research.thoughtworks.com/content/dam/thoughtworks-research/meta-images/tw_research_meta.jpg" class="type:primaryImage webfeedsFeaturedVisual"></div><p>TinySQL</p>]]></description><content:encoded><![CDATA[<div><img src="https://research.thoughtworks.com/content/dam/thoughtworks-research/meta-images/tw_research_meta.jpg" class="type:primaryImage 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disagreement</p>]]></content:encoded><guid>https://research.thoughtworks.com/q3-2025#Towards transparent AI grading:Entropy as a signal for human-AI disagreement</guid></item><item><title>Beyond linear steering: Unified multi-attribute control for language models</title><pubDate>Mon Dec 15 00:00:00 UTC 2025</pubDate><link>https://research.thoughtworks.com/q2-2025#Beyond linear steering: Unified multi-attribute control for language models</link><author>By Narmeen Oozeer, Luke Marks, Fazl Barez and Amirali Abdullah</author><description><![CDATA[<div><img src="https://research.thoughtworks.com/content/dam/thoughtworks-research/meta-images/tw_research_meta.jpg" class="type:primaryImage webfeedsFeaturedVisual"></div><p>Beyond linear steering: Unified multi-attribute control for language models</p>]]></description><content:encoded><![CDATA[<div><img src="https://research.thoughtworks.com/content/dam/thoughtworks-research/meta-images/tw_research_meta.jpg" class="type:primaryImage 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webfeedsFeaturedVisual"></div><p>Turning up the heat: Min-p samling for creative and coherent creative outputs</p>]]></content:encoded><guid>https://research.thoughtworks.com/q3-2025#Turning up the heat: Min-p samling for creative and coherent creative outputs</guid></item><item><title>Evaluating LLM-generated summaries using the Lie algebra framework</title><pubDate>Fri Oct 10 00:00:00 UTC 2025</pubDate><link>https://research.thoughtworks.com/q4-2025#evaluating-LLM-generated-summaries-using-Lie-algebra-framework</link><author>Manikandan Ravikiran, Parag Mahajani</author><description><![CDATA[<div><img src="https://research.thoughtworks.com/content/dam/thoughtworks-research/meta-images/tw_research_meta.jpg" class="type:primaryImage webfeedsFeaturedVisual"></div><p>Evaluating LLM-generated summaries using the Lie algebra framework</p>]]></description><content:encoded><![CDATA[<div><img src="https://research.thoughtworks.com/content/dam/thoughtworks-research/meta-images/tw_research_meta.jpg" class="type:primaryImage webfeedsFeaturedVisual"></div><p>Evaluating LLM-generated summaries using the Lie algebra framework</p>]]></content:encoded><guid>https://research.thoughtworks.com/q4-2025#evaluating-LLM-generated-summaries-using-Lie-algebra-framework</guid></item><item><title>The next frontiers in AI — according to industry leaders</title><pubDate>Wed Jun 04 00:00:00 UTC 2025</pubDate><link>https://research.thoughtworks.com/q2-2025#The-next-frontiers-in-AI-according-to-industry-leaders</link><author>Parag Mahajani</author><description><![CDATA[<div><img src="https://research.thoughtworks.com/content/dam/thoughtworks-research/meta-images/tw_research_meta.jpg" class="type:primaryImage webfeedsFeaturedVisual"></div><p>The next frontiers in AI — according to industry leaders</p>]]></description><content:encoded><![CDATA[<div><img src="https://research.thoughtworks.com/content/dam/thoughtworks-research/meta-images/tw_research_meta.jpg" class="type:primaryImage webfeedsFeaturedVisual"></div><p>The next frontiers in AI — according to industry leaders</p>]]></content:encoded><guid>https://research.thoughtworks.com/q2-2025#The-next-frontiers-in-AI-according-to-industry-leaders</guid></item><item><title>Calculating uncertainty in generative AI</title><pubDate>Tue May 06 00:00:00 UTC 2025</pubDate><link>https://research.thoughtworks.com/q2-2025#uncertainty-metrics-and-evals</link><author>Runyan Tan, Parag Mahajani</author><description><![CDATA[<div><img src="https://research.thoughtworks.com/content/dam/thoughtworks-research/meta-images/tw_research_meta.jpg" class="type:primaryImage webfeedsFeaturedVisual"></div><p>Calculating uncertainty in generative AI</p>]]></description><content:encoded><![CDATA[<div><img src="https://research.thoughtworks.com/content/dam/thoughtworks-research/meta-images/tw_research_meta.jpg" class="type:primaryImage webfeedsFeaturedVisual"></div><p>Calculating uncertainty in generative AI</p>]]></content:encoded><guid>https://research.thoughtworks.com/q2-2025#uncertainty-metrics-and-evals</guid></item><item><title>Evaluating LLMs using semantic entropy</title><pubDate>Fri Mar 07 00:00:00 UTC 2025</pubDate><link>https://research.thoughtworks.com/q1-2025#Evaluating-LLMs-using-semantic-entropy</link><author>Karrtik Iyer, Parag Mahajani</author><description><![CDATA[<div><img src="https://research.thoughtworks.com/content/dam/thoughtworks-research/meta-images/tw_research_meta.jpg" class="type:primaryImage webfeedsFeaturedVisual"></div><p>Evaluating LLMs using semantic entropy</p>]]></description><content:encoded><![CDATA[<div><img src="https://research.thoughtworks.com/content/dam/thoughtworks-research/meta-images/tw_research_meta.jpg" class="type:primaryImage webfeedsFeaturedVisual"></div><p>Evaluating LLMs using semantic entropy</p>]]></content:encoded><guid>https://research.thoughtworks.com/q1-2025#Evaluating-LLMs-using-semantic-entropy</guid></item><item><title>LLM benchmarks, evals and tests</title><pubDate>Thu Oct 31 00:00:00 UTC 2024</pubDate><link>https://research.thoughtworks.com/q4-2024#LLM-benchmarks-evals-and-tests</link><author>Shayan Mohanty, John Singleton, Parag Mahajani</author><description><![CDATA[<div><img src="https://research.thoughtworks.com/content/dam/thoughtworks-research/meta-images/tw_research_meta.jpg" class="type:primaryImage webfeedsFeaturedVisual"></div><p>LLM benchmarks, evals and tests</p>]]></description><content:encoded><![CDATA[<div><img src="https://research.thoughtworks.com/content/dam/thoughtworks-research/meta-images/tw_research_meta.jpg" class="type:primaryImage webfeedsFeaturedVisual"></div><p>LLM benchmarks, evals and tests</p>]]></content:encoded><guid>https://research.thoughtworks.com/q4-2024#LLM-benchmarks-evals-and-tests</guid></item><item><title>Decoding LLM uncertainties for better predictability</title><pubDate>Mon Oct 16 00:00:00 UTC 2023</pubDate><link>https://research.thoughtworks.com/q4-2023#decoding-llm-uncertainties-better-predictability</link><author>Shayan Mohanty</author><description><![CDATA[<div><img src="https://research.thoughtworks.com/content/dam/thoughtworks-research/meta-images/tw_research_meta.jpg" class="type:primaryImage webfeedsFeaturedVisual"></div><p>Decoding LLM uncertainties for better predictability</p>]]></description><content:encoded><![CDATA[<div><img src="https://research.thoughtworks.com/content/dam/thoughtworks-research/meta-images/tw_research_meta.jpg" class="type:primaryImage webfeedsFeaturedVisual"></div><p>Decoding LLM uncertainties for better predictability</p>]]></content:encoded><guid>https://research.thoughtworks.com/q4-2023#decoding-llm-uncertainties-better-predictability</guid></item><item><title>A surprisingly effective way to estimate token importance in LLM prompts</title><pubDate>Fri Sep 08 00:00:00 UTC 2023</pubDate><link>https://research.thoughtworks.com/q3-2023#effective-way-estimate-token-importance-llm-prompts</link><author>Shayan Mohanty</author><description><![CDATA[<div><img src="https://research.thoughtworks.com/content/dam/thoughtworks-research/meta-images/tw_research_meta.jpg" class="type:primaryImage webfeedsFeaturedVisual"></div><p>A surprisingly effective way to estimate token importance in LLM prompts</p>]]></description><content:encoded><![CDATA[<div><img src="https://research.thoughtworks.com/content/dam/thoughtworks-research/meta-images/tw_research_meta.jpg" class="type:primaryImage webfeedsFeaturedVisual"></div><p>A surprisingly effective way to estimate token importance in LLM prompts</p>]]></content:encoded><guid>https://research.thoughtworks.com/q3-2023#effective-way-estimate-token-importance-llm-prompts</guid></item><item><title>Probabilistic machine learning and weak supervision</title><pubDate>Thu Sep 02 00:00:00 UTC 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