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Maharshi Gor

@maharshigor.bsky.social

113 followers 195 following 4 posts

PhD student @ Univ of Maryland NLP, Question Answering, Human AI, LLMs More at mgor.info

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Maharshi Gor @maharshigor.bsky.social · 01/05/2025

🏆ADVSCORE won an Outstanding Paper Award at #NAACL2025 🚨 Don't miss out on our poster presentation *today at 2 pm* by Yoo Yeon (first author). 📍Poster Session 5 - HC: Human-centered NLP 💼 Highly recommend talking to her if you are hiring and/or interested in Human-focused Al dev and evals!

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Nishant Balepur @nbalepur.bsky.social · 24/02/2025

🚨 New Position Paper 🚨 Multiple choice evals for LLMs are simple and popular, but we know they are awful 😬 We complain they're full of errors, saturated, and test nothing meaningful, so why do we still use them? 🫠 Here's why MCQA evals are broken, and how to fix them 🧵

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Hal Daumé III @haldaume3.bsky.social · 09/12/2024

The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features Despite hopes that explanations improve fairness, we see that when biases are hidden behind proxy features, explanations may not help. Navita Goyal, Connor Baumler +al IUI’24 hal3.name/docs/daume23... >

meme with three rows.

"this human-ai decision making leads to unfair outcomes" --> "panik"

"let's show explanations to help people be more fair" --> "kalm"

"those explanations are based on proxy features" --> "panik"

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Hal Daumé III @haldaume3.bsky.social · 12/12/2024

Do great minds think alike? Investigating Human-AI Complementarity in QA We use item response theory to compare the capabilities of 155 people vs 70 chatbots at answering questions, teasing apart complementarities; implications for design. by Maharshi Gor +al EMNLP’24 hal3.name/docs/daume24... >

Meme of two muscular arms grasping. The first is labeled "humans" the second "AI systems" and where they grasp is labeled "item response theory."

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Blake Richards @tyrellturing.bsky.social · 11/12/2024

💯 Hallucination is totally the wrong word, implying it is perceiving the world incorrectly. But it's generating false, plausible sounding statements. Confabulation is literally the perfect word. So, let's all please start referring to any junk that an LLM makes up as "confabulations".

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Hal Daumé III @haldaume3.bsky.social · 10/12/2024

starter pack for the Computational Linguistics and Information Processing group at the University of Maryland - get all your NLP and data science here! go.bsky.app/V9qWjEi

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