Update publication information

Author: lastdefiance20

src/pages/open-source.mdx

@@ -26,7 +26,7 @@ import * as features from '@site/src/components/OpenSourceFeatures';
             {/* <features.StarItem userName="ssu-humane" repoName="HerO" /> */}
             <features.StarItem userName="ssu-humane" repoName="HerO" />
             <features.GithubLinkItem userName="ssu-humane" repoName="HerO" repoNickname="HerO"  />
-            <features.PaperLinkItem paperLink="" title="HerO at AVeriTeC: The Herd of Open Large Language Models for Verifying Real-World Claims" />
+            <features.PaperLinkItem paperLink="https://arxiv.org/abs/2410.12377" title="HerO at AVeriTeC: The Herd of Open Large Language Models for Verifying Real-World Claims" />
         </li>
         <li>
             {/* <features.StarItem userName="jaeyeonkim99" repoName="EnCLAP" /> */}

src/pages/publications.mdx

@@ -15,7 +15,7 @@ import * as features from '@site/src/components/PublicationFeatures';
 <section id="activities" className={styles.category}>
     <ul className={styles.publications}>
         <li>
-            <features.ConferenceItem conference="Under Review"/>
+            <features.ConferenceItem conference="NeurIPS Workshop OWA Accepted, ICRA Under Review"/>
             <features.PaperTitle paperLink="https://arxiv.org/abs/2410.01273" title="CANVAS: Commonsense-Aware Navigation System for Intuitive Human-Robot Interaction"/>
             <features.AuthorItem authors={["Suhwan Choi", "Yongjun Cho", "Minchan Kim", "Jaeyoon Jung", "Myunchul Joe", "Yubeen Park", "Minseo Kim", "Sungwoong Kim", "Sungjae Lee", "Hwiseong Park", "Jiwan Chung", "Youngjae Yu"]} numFirstAuthor={4} isBrainTeam={[true, true, true, true, true, false, false, false, false, false, false, false]}/>
             <features.PaperDescription preview="Real-life robot navigation involves more than just reaching a destination; it requires optimizing movements while addressing scenario-specific goals. "
@@ -25,7 +25,7 @@ import * as features from '@site/src/components/PublicationFeatures';
         </li>
         <li>
             <features.ConferenceItem conference="EMNLP Workshop (Oral)"/>
-            <features.PaperTitle paperLink="" title="HerO at AVeriTeC: The Herd of Open Large Language Models for Verifying Real-World Claims"/>
+            <features.PaperTitle paperLink="https://arxiv.org/abs/2410.12377" title="HerO at AVeriTeC: The Herd of Open Large Language Models for Verifying Real-World Claims"/>
             <features.AuthorItem authors={["Yejun Yoon", "Jaeyoon Jung", "Seunghyun Yoon", "Kunwoo Park"]} numFirstAuthor={2} isBrainTeam={[false, true, false, false]}/>
             <features.PaperDescription preview="To tackle the AVeriTeC shared task hosted by the FEVER-24, we introduce a system that only employs publicly available large language models (LLMs) "
             description="for each step of automated fact-checking, dubbed the Herd of Open LLMs for verifying real-world claims (HerO). HerO employs multiple LLMs for each step of automated fact-checking. For evidence retrieval, a language model is used to enhance a query by generating hypothetical fact-checking documents. We prompt pretrained and fine-tuned LLMs for question generation and veracity prediction by crafting prompts with retrieved in-context samples. HerO achieved 2nd place on the leaderboard with the AVeriTeC score of 0.57, suggesting the potential of open LLMs for verifying real-world claims. For future research, we make our code publicly available at https://github.com/ssu-humane/HerO."/>