Abhilash Nandy

38 papers A* 2B 3Journal 22Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Known Intents, New Combinations: Clause-Factorized Decoding for Compositional Multi-Intent Detection. CoRR Abhilash Nandy
2025	A*	`conf`	Language Models of Code Are Few-Shot Planners and Reasoners for Multi-Document Summarization with Attribution. AAAI Abhilash Nandy, Sambaran Bandyopadhyay
2025	J	`jnl`	Leveraging Large Language Models for Predictive Analysis of Human Misery. CoRR Bishanka Seal, Rahul Seetharaman, Aman Bansal, Abhilash Nandy
2025	—	`conf`	Leveraging Self-Attention for Input-Dependent Soft Prompting in LLMs. ACL (2) Ananth Muppidi, Abhilash Nandy, Sambaran Bandyopadhyay
2025	J	`jnl`	Leveraging Self-Attention for Input-Dependent Soft Prompting in LLMs. CoRR Ananth Muppidi, Abhilash Nandy, Sambaran Bandyopadhyay
2025	J	`jnl`	REFINE-AF: A Task-Agnostic Framework to Align Language Models via Self-Generated Instructions using Reinforcement Learning from Automated Feedback. CoRR Aniruddha Roy, Pretam Ray, Abhilash Nandy, Somak Aditya, Pawan Goyal
2025	J	`jnl`	\|\circle, BUS\|: A Large and Diverse Multimodal Benchmark for evaluating the ability of Vision-Language Models to understand Rebus Puzzles. CoRR Trishanu Das, Abhilash Nandy, Khush Bajaj, Deepiha S
2024	J	`jnl`	*FastDoc*: Domain-Specific Fast Continual Pre-training Technique using Document-Level Metadata and Taxonomy. Trans. Mach. Learn. Res. Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, Yash Parag Butala, Pawan Goyal, Niloy Ganguly
2024	A*	`conf`	*YesBut*: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models. EMNLP Abhilash Nandy, Yash Agarwal, Ashish Patwa, Millon Madhur Das, Aman Bansal, Ankit Raj, Pawan Goyal, Niloy Ganguly
2024	—	`conf`	A Pointer Network-based Approach for Joint Extraction and Detection of Multi-Label Multi-Class Intents. EMNLP (Findings) Ankan Mullick, Sombit Bose, Abhilash Nandy, Gajula Chaitanya, Pawan Goyal
2024	J	`jnl`	A Pointer Network-based Approach for Joint Extraction and Detection of Multi-Label Multi-Class Intents. CoRR Ankan Mullick, Sombit Bose, Abhilash Nandy, Gajula Chaitanya, Pawan Goyal
2024	—	`conf`	Order-Based Pre-training Strategies for Procedural Text Understanding. NAACL (Short Papers) Abhilash Nandy, Yash Kulkarni, Pawan Goyal, Niloy Ganguly
2024	J	`jnl`	Order-Based Pre-training Strategies for Procedural Text Understanding. CoRR Abhilash Nandy, Yash Kulkarni, Pawan Goyal, Niloy Ganguly
2024	—	`conf`	SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models. ClinicalNLP@NAACL Manav Nitin Kapadnis, Sohan Patnaik, Abhilash Nandy, Sourjyadip Ray, Pawan Goyal, Debdoot Sheet
2024	J	`jnl`	SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models. CoRR Manav Nitin Kapadnis, Sohan Patnaik, Abhilash Nandy, Sourjyadip Ray, Pawan Goyal, Debdoot Sheet
2024	J	`jnl`	YesBut: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models. CoRR Abhilash Nandy, Yash Agarwal, Ashish Patwa, Millon Madhur Das, Aman Bansal, Ankit Raj, Pawan Goyal, Niloy Ganguly
2023	—	`conf`	CLMSM: A Multi-Task Learning Framework for Pre-training on Procedural Text. EMNLP (Findings) Abhilash Nandy, Manav Nitin Kapadnis, Pawan Goyal, Niloy Ganguly
2023	J	`jnl`	CLMSM: A Multi-Task Learning Framework for Pre-training on Procedural Text. CoRR Abhilash Nandy, Manav Nitin Kapadnis, Pawan Goyal, Niloy Ganguly
2023	J	`jnl`	FPDM: Domain-Specific Fast Pre-training Technique using Document-Level Metadata. CoRR Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, Yash Parag Butala, Pawan Goyal, Niloy Ganguly
2022	B	`conf`	An Evaluation Framework for Legal Document Summarization. LREC Ankan Mullick, Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, R. Raghav, Roshni Kar
2022	J	`jnl`	An Evaluation Framework for Legal Document Summarization. CoRR Ankan Mullick, Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, R. Raghav, Roshni Kar
2022	—	`conf`	Fine-grained Intent Classification in the Legal Domain. SDU@AAAI Ankan Mullick, Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, R. Raghav
2022	J	`jnl`	Fine-grained Intent Classification in the Legal Domain. CoRR Ankan Mullick, Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, R. Raghav
2021	—	`conf`	Question Answering over Electronic Devices: A New Benchmark Dataset and a Multi-Task Learning based QA Framework. EMNLP (Findings) Abhilash Nandy, Soumya Sharma, Shubham Maddhashiya, Kapil Sachdeva, Pawan Goyal, Niloy Ganguly
2021	J	`jnl`	Question Answering over Electronic Devices: A New Benchmark Dataset and a Multi-Task Learning based QA Framework. CoRR Abhilash Nandy, Soumya Sharma, Shubham Maddhashiya, Kapil Sachdeva, Pawan Goyal, Niloy Ganguly
2021	—	`conf`	Team Enigma at ArgMining-EMNLP 2021: Leveraging Pre-trained Language Models for Key Point Matching. ArgMining@EMNLP Manav Nitin Kapadnis, Sohan Patnaik, Siba Smarak Panigrahi, Varun Madhavan, Abhilash Nandy
2021	J	`jnl`	Team Enigma at ArgMining-EMNLP 2021: Leveraging Pre-trained Language Models for Key Point Matching. CoRR Manav Nitin Kapadnis, Sohan Patnaik, Siba Smarak Panigrahi, Varun Madhavan, Abhilash Nandy
2021	—	`conf`	cs60075_team2 at SemEval-2021 Task 1 : Lexical Complexity Prediction using Transformer-based Language Models pre-trained on various text corpora. SemEval@ACL/IJCNLP Abhilash Nandy, Sayantan Adak, Tanurima Halder, Sai Mahesh Pokala
2021	J	`jnl`	cs60075_team2 at SemEval-2021 Task 1 : Lexical Complexity Prediction using Transformer-based Language Models pre-trained on various text corpora. CoRR Abhilash Nandy, Sayantan Adak, Tanurima Halder, Sai Mahesh Pokala
2021	J	`jnl`	indicnlp@kgp at DravidianLangTech-EACL2021: Offensive Language Identification in Dravidian Languages. CoRR Kushal Kedia, Abhilash Nandy
2020	J	`jnl`	A Novel Multimodal Music Genre Classifier using Hierarchical Attention and Convolutional Neural Network. CoRR Manish Agrawal, Abhilash Nandy
2020	J	`jnl`	Bayesian Optimization - Multi-Armed Bandit Problem. CoRR Abhilash Nandy, Chandan Kumar, Deepak Mewada, Soumya Sharma
2020	J	`jnl`	Identification of Cervical Pathology using Adversarial Neural Networks. CoRR Abhilash Nandy, Rachana Sathish, Debdoot Sheet
2019	—	`conf`	A Densenet Based Robust Face Detection Framework. ICCV Workshops Abhilash Nandy
2019	B	`conf`	An Adaptive Anaphylaxis Detection and Emergency Response System. CBMS Gopabandhu Hota, Abhilash Nandy, Kshitiz Goel, Dishank Yadav, Saumo Pal, Ankush Roy
2019	J	`jnl`	KarNet: An Efficient Boolean Function Simplifier. CoRR Shanka Subhra Mondal, Abhilash Nandy, Ritesh Agrawal, Debashis Sen
2019	B	`conf`	Kinship Verification using Deep Siamese Convolutional Neural Network. FG Abhilash Nandy, Shanka Subhra Mondal
2019	—	`conf`	Understanding Community Rivalry on Social Media: A Case Study of Two Footballing Giants. IUI Workshops Sopan Khosla, Siddhant Arora, Abhilash Nandy, Ankita Saxena, Anandhavelu Natarajan

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.