Filip Ilievski
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
38
Venues
18
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
38 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | COLUMBUS: Evaluating COgnitive Lateral Understanding Through Multiple-Choice reBUSes. | Koen Kraaijveld, Yifan Jiang, Kaixin Ma, Filip Ilievski |
| 2025 | CVPR | Commonsense Video Question Answering through Video-Grounded Entailment Tree Reasoning. | Huabin Liu, Filip Ilievski, Cees G. M. Snoek |
| 2025 | ECAI | Investigating the Robustness of Deductive Reasoning with Large Language Models. | Fabian Hoppe, Filip Ilievski, Jan-Christoph Kalo |
| 2025 | ICLR | MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs. | Jiarui Zhang, Mahyar Khayatkhoei, Prateek Chhikara, Filip Ilievski |
| 2025 | ICWSM | Clustering Internet Memes Through Template Matching and Multi-Dimensional Similarity. | Tygo Bloem, Filip Ilievski |
| 2025 | NeSy | Sound and Complete Neurosymbolic Reasoning with LLM-Grounded Interpretations. | Bradley P. Allen, Prateek Chhikara, Thomas Macaulay Ferguson, Filip Ilievski, Paul Groth |
| 2024 | AAAI | Knowledge-Powered Recommendation for an Improved Diet Water Footprint. | Saurav Joshi, Filip Ilievski, Jay Pujara |
| 2024 | EMNLP | Robust Text Classification: Analyzing Prototype-Based Networks. | Zhivar Sourati, Darshan Deshpande, Filip Ilievski, Kiril Gashteovski, Sascha Saralajew |
| 2024 | NAACL | Contextualizing Argument Quality Assessment with Relevant Knowledge. | Darshan Deshpande, Zhivar Sourati, Filip Ilievski, Fred Morstatter |
| 2024 | WWW | Contextualizing Internet Memes Across Social Media Platforms. | Saurav Joshi, Filip Ilievski, Luca Luceri |
| 2024 | WACV | FIRE: Food Image to REcipe generation. | Prateek Chhikara, Dhiraj Chaurasia, Yifan Jiang, Omkar Masur, Filip Ilievski |
| 2023 | ECAI | Transferring Procedural Knowledge Across Commonsense Tasks. | Yifan Jiang, Filip Ilievski, Kaixin Ma |
| 2023 | EMNLP | BRAINTEASER: Lateral Thinking Puzzles for Large Language Models. | Yifan Jiang, Filip Ilievski, Kaixin Ma, Zhivar Sourati |
| 2023 | ICLR | PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales. | Peifeng Wang, Aaron Chan, Filip Ilievski, Muhao Chen, Xiang Ren |
| 2023 | IJCAI | Case-Based Reasoning with Language Models for Classification of Logical Fallacies. | Zhivar Sourati, Filip Ilievski, Hng-n Sandlin, Alain Mermoud |
| 2023 | KDD | A Study of Situational Reasoning for Traffic Understanding. | Jiarui Zhang, Filip Ilievski, Kaixin Ma, Aravinda Kollaa, Jonathan Francis, Alessandro Oltramari |
| 2023 | NeSy | Generalizable Neuro-Symbolic Systems for Commonsense Question Answering. | Alessandro Oltramari, Jonathan Francis, Filip Ilievski, Kaixin Ma, Roshanak Mirzaee |
| 2023 | NeSy | Explainable Classification of Internet Memes. | Abhinav Kumar Thakur, Filip Ilievski, Hng-n Sandlin, Zhivar Sourati, Luca Luceri, Riccardo Tommasini, Alain Mermoud |
| 2022 | COLING | Coalescing Global and Local Information for Procedural Text Understanding. | Kaixin Ma, Filip Ilievski, Jonathan Francis, Eric Nyberg, Alessandro Oltramari |
| 2022 | EMNLP | PaCo: Preconditions Attributed to Commonsense Knowledge. | Ehsan Qasemi, Filip Ilievski, Muhao Chen, Pedro A. Szekely |
| 2022 | ICLR | Contextualized Scene Imagination for Generative Commonsense Reasoning. | Peifeng Wang, Jonathan Zamora, Junfeng Liu, Filip Ilievski, Muhao Chen, Xiang Ren |
| 2022 | IJCAI | Augmenting Knowledge Graphs for Better Link Prediction. | Jiang Wang, Filip Ilievski, Pedro A. Szekely, Ke-Thia Yao |
| 2022 | WWW | Accepted Tutorials at The Web Conference 2022. | Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He |
| 2021 | AAAI | Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering. | Kaixin Ma, Filip Ilievski, Jonathan Francis, Yonatan Bisk, Eric Nyberg, Alessandro Oltramari |
| 2021 | ACL | Do Language Models Perform Generalizable Commonsense Inference? | Peifeng Wang, Filip Ilievski, Muhao Chen, Xiang Ren |
| 2021 | EMNLP | Exploring Strategies for Generalizable Commonsense Reasoning with Pre-trained Models. | Kaixin Ma, Filip Ilievski, Jonathan Francis, Satoru Ozaki, Eric Nyberg, Alessandro Oltramari |
| 2021 | EMNLP | Numeracy enhances the Literacy of Language Models. | Avijit Thawani, Jay Pujara, Filip Ilievski |
| 2021 | MASS | Analyzing Race and Citizenship Bias in Wikidata. | Zaina Shaik, Filip Ilievski, Fred Morstatter |
| 2021 | NAACL | Representing Numbers in NLP: a Survey and a Vision. | Avijit Thawani, Jay Pujara, Filip Ilievski, Pedro A. Szekely |
| 2020 | EMNLP | Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering. | Peifeng Wang, Nanyun Peng, Filip Ilievski, Pedro A. Szekely, Xiang Ren |
| 2020 | LREC | Large-scale Cross-lingual Language Resources for Referencing and Framing. | Piek Vossen, Filip Ilievski, Marten Postma, Antske Fokkens, Gosse Minnema, Levi Remijnse |
| 2018 | COLING | Systematic Study of Long Tail Phenomena in Entity Linking. | Filip Ilievski, Piek Vossen, Stefan Schlobach |
| 2018 | LREC | Don't Annotate, but Validate: a Data-to-Text Method for Capturing Event Data. | Piek Vossen, Filip Ilievski, Marten Postma, Roxane Segers |
| 2017 | LDK | Hunger for Contextual Knowledge and a Road Map to Intelligent Entity Linking. | Filip Ilievski, Piek Vossen, Marieke van Erp |
| 2016 | COLING | Semantic overfitting: what 'world' do we consider when evaluating disambiguation of text? | Filip Ilievski, Marten Postma, Piek Vossen |
| 2016 | LREC | Evaluating Entity Linking: An Analysis of Current Benchmark Datasets and a Roadmap for Doing a Better Job. | Marieke van Erp, Pablo N. Mendes, Heiko Paulheim, Filip Ilievski, Julien Plu, Giuseppe Rizzo, Jrg Waitelonis |
| 2016 | LREC | Context-enhanced Adaptive Entity Linking. | Filip Ilievski, Giuseppe Rizzo, Marieke van Erp, Julien Plu, Raphal Troncy |
| 2015 | NLDB | When it's all piling up: investigating error propagation in an NLP pipeline. | Tommaso Caselli, Piek Vossen, Marieke van Erp, Antske Fokkens, Filip Ilievski, Rubn Izquierdo, Minh Le, Roser Morante, Marten Postma |