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aakriti1kumar.bsky.social

@aakriti1kumar.bsky.social
38 followers 62 following 11 posts
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aakriti1kumar.bsky.social @aakriti1kumar.bsky.social · 17/06/2025
So why the gap between experts/LLMs and crowds? Crowdworkers often - have limited attention - rely on heuristics like “it’s the thought that counts” - focusing on intentions rather than actual wording show systematic rating inflation due to social desirability bias
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aakriti1kumar.bsky.social @aakriti1kumar.bsky.social · 17/06/2025
And when experts disagree, LLMs struggle to find a consistent signal too. Here’s how expert agreement (Krippendorff's alpha) varied across empathy sub-components:
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aakriti1kumar.bsky.social @aakriti1kumar.bsky.social · 17/06/2025
We analyzed thousands of annotations from LLMs, crowdworkers, and experts on 200 real-world conversations And specifically looked at 21 sub-components of empathic communication from 4 evaluative frameworks The result? LLMs consistently matched expert judgments better than crowdworkers did! 🔥
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aakriti1kumar.bsky.social @aakriti1kumar.bsky.social · 17/06/2025
How do we reliably judge if AI companions are performing well on subjective, context-dependent, and deeply human tasks? 🤖 Excited to share the first paper from my postdoc (!!) investigating when LLMs are reliable judges - with empathic communication as a case study 🧐 🧵👇
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