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Mohit Iyyer

@miyyer.bsky.social

224 followers 272 following 6 posts

associate prof at UMD CS researching NLP & LLMs

Posts Replies Media

Reposted by Mohit Iyyer

Mor Naaman @informor.bsky.social · 23/10/2025

Well this is sure to be a blockbuster AI article... @jennarussell.bsky.social et al are kicking ass and taking names in journalism, both individuals and organizations. "AI use in American newspapers is widespread, uneven, and rarely disclosed" arxiv.org/abs/2510.18774

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Reposted by Mohit Iyyer

Jenna Russell @jennarussell.bsky.social · 22/10/2025

AI is already at work in American newsrooms. We examine 186k articles published this summer and find that ~9% are either fully or partially AI-generated, usually without readers having any idea. Here's what we learned about how AI is influencing local and national journalism:

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Mohit Iyyer @miyyer.bsky.social · 03/06/2025

Tired of AI slop? Our work on "Frankentexts" shows how LLMs can stitch together random fragments of human writing into coherent, relevant responses to arbitrary prompts. Frankentexts are weirdly creative, and they also pose problems for AI detectors: are they AI? human? More 👇

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Mohit Iyyer @miyyer.bsky.social · 08/04/2025

Llama 4's massive context window is impressive! However, the best Llama model for long-context understanding over books is still Llama 3.1 405B. Llama 4 Scout is especially bad at our NoCha benchmark, performing below random chance.

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Mohit Iyyer @miyyer.bsky.social · 12/03/2025

Thinking about paying $20k/month for a "PhD-level AI agent"? You might want to wait until their web browsing skills are on par with those of human PhD students 😛 Check out our new BEARCUBS benchmark, which shows web agents struggle to perform simple multimodal browsing tasks!

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Mohit Iyyer @miyyer.bsky.social · 05/03/2025

New synthetic benchmark for multilingual long-context LLMs! Surprisingly, English and Chinese are not the top-performing languages (it's Polish!). We also observe a widening gap between high and low-resource languages as context size increases. Check out the paper for more 👇

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Mohit Iyyer @miyyer.bsky.social · 21/02/2025

How can we generate synthetic data for a task that requires global reasoning over a long context (e.g., verifying claims about a book)? LLMs aren't good at *solving* such tasks, let alone generating data for them. Check out our paper for a compression-based solution!

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Mohit Iyyer @miyyer.bsky.social · 28/01/2025

Lots of recent work focuses on 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐜 detection of LLM-generated text. But how well do 𝐡𝐮𝐦𝐚𝐧𝐬 fare? TLDR: ppl who frequently use ChatGPT for writing tasks are elite at spotting AI text! See our paper for more (and congrats to @jennarussell.bsky.social on her first paper!!)

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