We present 2 long papers, 1 demo paper at ACL 2025, 1 long and 1 workshop paper at NAACL 2025 .
ACL 2025 Papers
ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering
Ahmed Masry, Mohammed Saidul Islam, Mahir Ahmed, Aayush Bajaj, Firoz Kabir, Aaryaman Kartha, Md Tahmid Rahman Laskar, Mizanur Rahman, Shadikur Rahman, Mehrad Shahmohammadi, Megh Thakkar, Md Rizwan Parvez, Enamul Hoque, and Shafiq Joty, in ACL-Findings, 2025.
BibTeX DetailsDetails@inproceedings{masry20254chartqapro, title = {ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering}, author = {Masry, Ahmed and Islam, Mohammed Saidul and Ahmed, Mahir and Bajaj, Aayush and Kabir, Firoz and Kartha, Aaryaman and Laskar, Md Tahmid Rahman and Rahman, Mizanur and Rahman, Shadikur and Shahmohammadi, Mehrad and Thakkar, Megh and Parvez, Md Rizwan and Hoque, Enamul and Joty, Shafiq}, booktitle = {ACL-Findings}, year = {2025} }TechniqueRAG: Retrieval Augmented Generation for Adversarial Technique Annotation in Cyber Threat Intelligence Text
Ahmed Lekssays, Utsav Shukla, Husrev Taha Sencar, and Md Rizwan Parvez, in ACL-Findings, 2025.
BibTeX DetailsDetails@inproceedings{lekssays20254ctechniquerag, title = {TechniqueRAG: Retrieval Augmented Generation for Adversarial Technique Annotation in Cyber Threat Intelligence Text}, author = {Lekssays, Ahmed and Shukla, Utsav and Sencar, Husrev Taha and Parvez, Md Rizwan}, booktitle = {ACL-Findings}, year = {2025} }MapQaTor: A System for Efficient Annotation of Map Query Datasets
Mahir Labib Dihan, Mohammed Eunus Ali, and Md Rizwan Parvez, in ACL Demo, 2025.
BibTeX DetailsDetails@inproceedings{dihan2025mapqator, title = {MapQaTor: A System for Efficient Annotation of Map Query Datasets}, author = {Dihan, Mahir Labib and Ali, Mohammed Eunus and Parvez, Md Rizwan}, booktitle = {ACL Demo}, year = {2025} }
NAACL 2025 Papers
ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering
Ahmed Masry, Mohammed Saidul Islam, Mahir Ahmed, Aayush Bajaj, Firoz Kabir, Aaryaman Kartha, Md Tahmid Rahman Laskar, Mizanur Rahman, Shadikur Rahman, Mehrad Shahmohammadi, Megh Thakkar, Md Rizwan Parvez, Enamul Hoque, and Shafiq Joty, in ACL-Findings, 2025.
BibTeX DetailsDetails@inproceedings{masry20254chartqapro, title = {ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering}, author = {Masry, Ahmed and Islam, Mohammed Saidul and Ahmed, Mahir and Bajaj, Aayush and Kabir, Firoz and Kartha, Aaryaman and Laskar, Md Tahmid Rahman and Rahman, Mizanur and Rahman, Shadikur and Shahmohammadi, Mehrad and Thakkar, Megh and Parvez, Md Rizwan and Hoque, Enamul and Joty, Shafiq}, booktitle = {ACL-Findings}, year = {2025} }TechniqueRAG: Retrieval Augmented Generation for Adversarial Technique Annotation in Cyber Threat Intelligence Text
Ahmed Lekssays, Utsav Shukla, Husrev Taha Sencar, and Md Rizwan Parvez, in ACL-Findings, 2025.
BibTeX DetailsDetails@inproceedings{lekssays20254ctechniquerag, title = {TechniqueRAG: Retrieval Augmented Generation for Adversarial Technique Annotation in Cyber Threat Intelligence Text}, author = {Lekssays, Ahmed and Shukla, Utsav and Sencar, Husrev Taha and Parvez, Md Rizwan}, booktitle = {ACL-Findings}, year = {2025} }MapQaTor: A System for Efficient Annotation of Map Query Datasets
Mahir Labib Dihan, Mohammed Eunus Ali, and Md Rizwan Parvez, in ACL Demo, 2025.
BibTeX DetailsDetails@inproceedings{dihan2025mapqator, title = {MapQaTor: A System for Efficient Annotation of Map Query Datasets}, author = {Dihan, Mahir Labib and Ali, Mohammed Eunus and Parvez, Md Rizwan}, booktitle = {ACL Demo}, year = {2025} }CodeSim: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging
Md Ashraful Islam, Mohammed Eunus Ali, and Md Rizwan Parvez, NAACL-findings, 2025.
BibTeX DetailsDetails@article{islam2025codesim, title = {CodeSim: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging}, author = {Islam, Md Ashraful and Ali, Mohammed Eunus and Parvez, Md Rizwan}, journal = {NAACL-findings}, year = {2025} }Evidence to Generate (E2G): A Single-agent Two-step Prompting for Context Grounded and Retrieval Augmented Reasoning
Md Rizwan Parvez, NAACL KnowledgeNLP, 2025.
BibTeX DetailsDetails@article{parvez2024evidence, title = {Evidence to Generate (E2G): A Single-agent Two-step Prompting for Context Grounded and Retrieval Augmented Reasoning}, author = {Parvez, Md Rizwan}, journal = {NAACL KnowledgeNLP}, year = {2025} }