Paramita Mirza

38 papers A* 2A 4B 4Misc 1Journal 8Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Stratified Selective Sampling for Instruction Tuning with Dedicated Scoring Strategy. EMNLP (Findings) Paramita Mirza, Lucas Weber, Fabian Küch
2025	J	`jnl`	Stratified Selective Sampling for Instruction Tuning with Dedicated Scoring Strategy. CoRR Paramita Mirza, Lucas Weber, Fabian Küch
2025	A	`conf`	Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs. ECAI Mehdi Ali, Michael Fromm, Klaudia Thellmann, Jan Ebert, Alexander Arno Weber, Richard Rutmann, Charvi Jain, Max Lübbering, Daniel Steinigen, Johannes Leveling, Katrin Klug, Jasper Schulze Buschhoff, Lena Jurkschat, Hammam Abdelwahab, Benny Jörg Stein, Karl-Heinz Sylla, Pavel Denisov, Nicolo' Brandizzi, Qasid Saleem, Anirban Bhowmick, Lennard Helmer, Chelsea John, Pedro Ortiz Suarez, Malte Ostendorff, Alex Jude, Lalith Manjunath, Samuel Weinbach, Carolin Penke, Oleg Filatov, Fabio Barth, Paramita Mirza, Lucas Weber, Ines Wendler, Rafet Sifa, Fabian Küch, Andreas Herten, René Jäkel, Georg Rehm, Stefan Kesselheim, Joachim Köhler, Nicolas Flores-Herr
2024	—	`conf`	ILLUMINER: Instruction-tuned Large Language Models as Few-shot Intent Classifier and Slot Filler. LREC/COLING Paramita Mirza, Viju Sudhi, Soumya Ranjan Sahoo, Sinchana Ramakanth Bhat
2024	J	`jnl`	ILLUMINER: Instruction-tuned Large Language Models as Few-shot Intent Classifier and Slot Filler. CoRR Paramita Mirza, Viju Sudhi, Soumya Ranjan Sahoo, Sinchana Ramakanth Bhat
2022	J	`jnl`	Report on the Workshop on Personal Knowledge Graphs (PKG 2021) at AKBC 2021. SIGIR Forum Krisztian Balog, Paramita Mirza, Martin G. Skjæveland, Zhilin Wang
2021	—	`conf`	AligNarr: Aligning Narratives on Movies. ACL/IJCNLP (2) Paramita Mirza, Mostafa Abouhamra, Gerhard Weikum
2021	A	`conf`	Exploring Personal Knowledge Extraction from Conversations with CHARM. WSDM Anna Tigunova, Paramita Mirza, Andrew Yates, Gerhard Weikum
2021	—	`conf`	PRIDE: Predicting Relationships in Conversations. EMNLP (1) Anna Tigunova, Paramita Mirza, Andrew Yates, Gerhard Weikum
2020	—	`conf`	CHARM: Inferring Personal Attributes from Conversations. EMNLP (1) Anna Tigunova, Andrew Yates, Paramita Mirza, Gerhard Weikum
2020	—	`conf`	Cardinality Extraction from Text for Ontology Learning. COMAD/CODS Monika Jain, Paramita Mirza, Raghava Mutharaju
2020	B	`conf`	RedDust: a Large Reusable Dataset of Reddit User Traits. LREC Anna Tigunova, Paramita Mirza, Andrew Yates, Gerhard Weikum
2019	—	`conf`	Coverage of Information Extraction from Sentences and Paragraphs. EMNLP/IJCNLP (1) Simon Razniewski, Nitisha Jain, Paramita Mirza, Gerhard Weikum
2019	—	`conf`	Discovering the Functions of Language in Online Forums. W-NUT@EMNLP Youmna Ismaeil, Oana Balalau, Paramita Mirza
2019	—	`conf`	KnowledgeNet: A Benchmark Dataset for Knowledge Base Population. EMNLP/IJCNLP (1) Filipe de Sá Mesquita, Matteo Cannaviccio, Jordan Schmidek, Paramita Mirza, Denilson Barbosa
2019	A*	`conf`	Listening between the Lines: Learning Personal Attributes from Conversations. WWW Anna Tigunova, Andrew Yates, Paramita Mirza, Gerhard Weikum
2019	J	`jnl`	Listening between the Lines: Learning Personal Attributes from Conversations. CoRR Anna Tigunova, Andrew Yates, Paramita Mirza, Gerhard Weikum
2018	A*	`conf`	Completeness-aware Rule Learning from Knowledge Graphs. IJCAI Thomas Pellissier Tanon, Daria Stepanova, Simon Razniewski, Paramita Mirza, Gerhard Weikum
2018	—	`conf`	EMOFIEL: Mapping Emotions of Relationships in a Story. WWW (Companion Volume) Harshita Jhavar, Paramita Mirza
2018	—	`conf`	Enriching Knowledge Bases with Counting Quantifiers. ISWC (1) Paramita Mirza, Simon Razniewski, Fariz Darari, Gerhard Weikum
2018	J	`jnl`	Enriching Knowledge Bases with Counting Quantifiers. CoRR Paramita Mirza, Simon Razniewski, Fariz Darari, Gerhard Weikum
2018	—	`conf`	KOI at SemEval-2018 Task 5: Building Knowledge Graph of Incidents. SemEval@NAACL-HLT Paramita Mirza, Fariz Darari, Rahmad Mahendra
2017	—	`conf`	Cardinal Virtues: Extracting Relation Cardinalities from Text. ACL (2) Paramita Mirza, Simon Razniewski, Fariz Darari, Gerhard Weikum
2017	J	`jnl`	Cardinal Virtues: Extracting Relation Cardinalities from Text. CoRR Paramita Mirza, Simon Razniewski, Fariz Darari, Gerhard Weikum
2017	—	`conf`	Completeness-Aware Rule Learning from Knowledge Graphs. ISWC (1) Thomas Pellissier Tanon, Daria Stepanova, Simon Razniewski, Paramita Mirza, Gerhard Weikum
2016	B	`conf`	CATENA: CAusal and TEmporal relation extraction from NAtural language texts. COLING Paramita Mirza, Sara Tonelli
2016	—	`conf`	Expanding Wikidata's Parenthood Information by 178%, or How To Mine Relation Cardinality Information. ISWC (Posters & Demos) Paramita Mirza, Simon Razniewski, Werner Nutt
2016	J	`jnl`	Extracting Temporal and Causal Relations between Events. CoRR Paramita Mirza
2016	—	`—`	Extracting Temporal and Causal Relations between Events. Paramita Mirza
2016	B	`conf`	On the contribution of word embeddings to temporal relation classification. COLING Paramita Mirza, Sara Tonelli
2015	—	`conf`	HLT-FBK: a Complete Temporal Processing System for QA TempEval. SemEval@NAACL-HLT Paramita Mirza, Anne-Lyse Minard
2015	—	`conf`	Recognizing and Normalizing Temporal Expressions in Indonesian Texts. PACLING Paramita Mirza
2014	B	`conf`	An Analysis of Causality between Events and its Relation to Temporal Information. COLING Paramita Mirza, Sara Tonelli
2014	A	`conf`	Classifying Temporal Relations with Simple Features. EACL Paramita Mirza, Sara Tonelli
2014	—	`conf`	Extracting Temporal and Causal Relations between Events. ACL (Student Research Workshop) Paramita Mirza
2013	Misc	`conf`	CCG Categories for Distributional Semantic Models. RANLP Paramita Mirza, Raffaella Bernardi
2013	J	`jnl`	Complete Approximations of Incomplete Queries. Proc. VLDB Endow. Ognjen Savkovic, Paramita Mirza, Alex Tomasi, Werner Nutt
2012	A	`conf`	MAGIK: managing completeness of data. CIKM Ognjen Savkovic, Paramita Mirza, Sergey Paramonov, Werner Nutt

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.