Merge pull request #16 from aligebesce/main

add mina, remove müge, add new paper

_bibliography/papers.bib

@@ -1,5 +1,19 @@
 ---
 ---
+@misc{uzunoglu2024paradise,
+ abbr = {arXiv},
+ bibtex_show = {true},
+ pdf = {2403.03167.pdf},
+ title={PARADISE: Evaluating Implicit Planning Skills of Language Models with Procedural Warnings and Tips Dataset},
+ author={Arda Uzunoglu and Abdalfatah Rashid Safa and Gözde Gül Şahin},
+ month={March},
+ year={2024},
+ url={https://arxiv.org/pdf/2403.03167.pdf},
+ eprint={2403.03167},
+ archivePrefix={arXiv},
+ primaryClass={cs.CL},
+ abstract = "Recently, there has been growing interest within the community regarding whether large language models are capable of planning or executing plans. However, most prior studies use LLMs to generate high-level plans for simplified scenarios lacking linguistic complexity and domain diversity, limiting analysis of their planning abilities. These setups constrain evaluation methods (e.g., predefined action space), architectural choices (e.g., only generative models), and overlook the linguistic nuances essential for realistic analysis. To tackle this, we present PARADISE, an abductive reasoning task using Q\&A format on practical procedural text sourced from wikiHow. It involves warning and tip inference tasks directly associated with goals, excluding intermediary steps, with the aim of testing the ability of the models to infer implicit knowledge of the plan solely from the given goal. Our experiments, utilizing fine-tuned language models and zero-shot prompting, reveal the effectiveness of task-specific small models over large language models in most scenarios. Despite advancements, all models fall short of human performance. Notably, our analysis uncovers intriguing insights, such as variations in model behavior with dropped keywords, struggles of BERT-family and GPT-4 with physical and abstract goals, and the proposed tasks offering valuable prior knowledge for other unseen procedural tasks. The PARADISE dataset and associated resources are publicly available for further research exploration with this https URL."
+}
 
 @misc{kural2024quantifying,
  abbr = {arXiv},

_members/phd_muge.md → _members/alumni_muge.md

@@ -1,17 +1,16 @@
 ---
 layout: about
 inline: false
-group: PhD
-group_rank: 2
-team_frontpage: true
+group: Former visitors, BSc/ MSc students, Interns
+group_rank: 5
+team_frontpage: false
 
 title: MSc Müge Kural
-description: Profile of Müge Kural, Doctoral Researcher at the GGLab.
+description: Profile of Müge Kural, Ex Doctoral Researcher at the GGLab.
 lastname: Kural
 publications: 'author^=*Kural'
 
 teaser: >
- I am a second-year Ph.D. student at GGLab and KUIS AI.
  I work on reasoning in LLMs. 
  My research interests include social reasoning in AI, human-AI interaction, and explainable AI.
 

_members/intern_durhasan.md

@@ -0,0 +1,25 @@
+---
+layout: about
+inline: false
+group: Undergrad Intern
+group_rank: 4
+team_frontpage: true
+
+title: Mina Durhasan
+description: Profile of Mina Durhasan, Bachelor Student at Koç University.
+lastname: Durhasan
+publications: 'author^=*Durhasan'
+
+teaser: >
+ I am an undergrad researcher at GGLab majoring in CS at Koç University.
+
+profile:
+ name: Mina Durhasan
+ align: right
+ image: mems/durhasan-profile.webp
+ role: Undergrad Intern
+ email: mdurhasan21@ku.edu.tr
+
+---
+
+I am an undergrad researcher at GGLab majoring in CS at Koç University.

_members/msc_ali.md

@@ -0,0 +1,26 @@
+---
+layout: about
+inline: false
+group: Masters
+group_rank: 3
+team_frontpage: true
+
+title: BSc Ali Gebeşçe
+description: Profile of Ali Gebeşçe, Student Researcher at GGLab.
+lastname: Gebeşçe
+publications: 'author^=*Gebeşçe'
+
+teaser: >
+ I earned my Bachelor of Science degree in Computer Science from Koç University and am a first-year M.Sc. student in Computer Science and Engineering at Koç University.
+
+profile:
+ name: BSc Ali Gebeşçe
+ align: right
+ image: mems/gebesce-profile.webp
+ role: Undergrad Intern
+ email: agebesce17@ku.edu.tr
+
+---
+
+I earned my Bachelor of Science degree in Computer Science from Koç University and am a first-year M.Sc. student in Computer Science and Engineering at Koç University. Over the past year, I interned under the guidance of Asst. Prof. Gözde Gül Şahin at Koç University working at the topic of cognitive trust and the decision-making similarities between humans and NLP models.
+

_pages/publications.md

@@ -3,7 +3,7 @@ layout: page
 permalink: /publications
 title: Publications
 description: Publications by categories in reversed chronological order. 
-years: [2023]
+years: [2024, 2023]
 nav: true
 nav_rank: 4
 ---