Update papers

Author: alanakbik

app/research/(projects)/opiniongpt/page.tsx

@@ -57,7 +57,7 @@ export default function Page() {
 
             <H2>Publication</H2>
             <P>
-                <InlineLink href="OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs" target="_blank">CleanCoNLL: A Nearly Noise-Free Named Entity Recognition Dataset.</InlineLink>
+                <InlineLink href="https://aclanthology.org/2024.naacl-demo.8/" target="_blank">OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs.</InlineLink>
                 Patrick Haller, Ansar Aynetdinov and Alan Akbik. NAACL 2024.
             </P>
         </>

content/LatestNews.tsx

@@ -234,12 +234,11 @@ const LatestNews: TimelineEntryData[] = [
 
 export const PinnedMessages: PinnedMessage[] = [
     {
-        title: "External students welcome: Join our Deep Learning and NLP class online!",
+        title: "2 New Full-Time Researcher Positions!",
         content: <>
-            This semester, you can join my "Deep Learning and NLP" course at HU Berlin online.
-            Starting October 14th, we go all the way from zero to "NLP hero": from classical NLP to transformers
-            and LLMs, plus in-depth into to PyTorch 🔥. External students can enrol <InlineLink href="https://www.hu-berlin.de/en/studies/counselling/leaflets/guest_students" target="_blank">here</InlineLink>!
-        </>,
+            We have two new full-time positions for researchers at my Chair. One fully-funded position for a PhD student
+            and one position for a PostDoc. We are looking for exceptional candidates with a strong publication record
+            (ACL, EMNLP) and a strong engineering background. Do reach out if you are interested!</>,
     },
 ];
 

content/Publications.ts

@@ -6,11 +6,18 @@
 import type { Publication } from "@/content/types";
 
 const Publications: Publication[] = [
+    {
+        year: 2026,
+        title: "Beyond Marginal Distributions: A Framework to Evaluate the Representativeness of Demographic-Aligned LLMs",
+        authors: "Tristan Williams, Franziska Weeber, Sebastian Padó and Alan Akbik",
+        links: [{ label: "PDF", url: "https://arxiv.org/abs/2601.15755" }],
+        footnote: "arXiv preprint",
+    },
     {
         year: 2026,
         conference: "EACL 2026",
         title: "FiNERweb: Datasets and Artifacts for Scalable Multilingual Named Entity Recognition",
-        authors: "Jonas Golde, Patrick Haller and Alan Akbik ",
+        authors: "Jonas Golde, Patrick Haller and Alan Akbik",
         links: [{ label: "PDF", url: "https://arxiv.org/pdf/2512.13884" }],
         footnote: "Findings of the Association for Computational Linguistics: EACL 2026",
     },