<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"><channel><description>NLP PhD student @convai_uiuc | Agents, Reasoning, evaluation etc. &#xA;https://sagnikmukherjee.github.io&#xA;&#xA;https://scholar.google.com/citations?user=v4lvWXoAAAAJ&amp;hl=en</description><link>https://bsky.app/profile/sagnikmukherjee.bsky.social</link><title>@sagnikmukherjee.bsky.social - Sagnik Mukherjee</title><item><link>https://bsky.app/profile/sagnikmukherjee.bsky.social/post/3lpnp2u3pgc2y</link><description>🚨 Paper Alert: “RL Finetunes Small Subnetworks in Large Language Models”&#xA;&#xA;From DeepSeek V3 Base to DeepSeek R1 Zero, a whopping 86% of parameters were NOT updated during RL training 😮😮&#xA;And this isn’t a one-off. The pattern holds across RL algorithms and models.&#xA;🧵A Deep Dive</description><pubDate>21 May 2025 03:49 +0000</pubDate><guid isPermaLink="false">at://did:plc:outsnerznqrybvzuoapywek7/app.bsky.feed.post/3lpnp2u3pgc2y</guid></item><item><link>https://bsky.app/profile/sagnikmukherjee.bsky.social/post/3lom2xer26c2y</link><description>🚀Our ICML 2025 paper introduces &#34;Premise-Augmented Reasoning Chains&#34; - a structured approach to induce explicit dependencies in reasoning chains. &#xA;&#xA;By revealing the dependencies within chains, we significantly improve how LLM reasoning can be verified.&#xA;&#xA;🧵[1/n]</description><pubDate>07 May 2025 18:52 +0000</pubDate><guid isPermaLink="false">at://did:plc:outsnerznqrybvzuoapywek7/app.bsky.feed.post/3lom2xer26c2y</guid></item><item><link>https://bsky.app/profile/sagnikmukherjee.bsky.social/post/3lbihs7gg7s2d</link><description>📢📢LLMs are biased towards Western Culture. Well, okay, but what do you mean by &#34;Culture&#34;?&#xA;In our survey of on cultural bias in LLMs, we reviewed ~90 papers. Interestingly, none of these papers define &#34;culture&#34; explicitly. They use “proxies”. [1/7]&#xA;[Appeared in EMNLP mains]</description><pubDate>21 Nov 2024 22:03 +0000</pubDate><guid isPermaLink="false">at://did:plc:outsnerznqrybvzuoapywek7/app.bsky.feed.post/3lbihs7gg7s2d</guid></item></channel></rss>