Abhilasha Sancheti

35 papers A* 4A 2Journal 16Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Less Mature is More Adaptable for Sentence-level Language Modeling. ACL (1) Abhilasha Sancheti, David Dale, Artyom Kozhevnikov, Maha Elbayad
2025	—	`conf`	On the Mutual Influence of Gender and Occupation in LLM Representations. ACL (1) Haozhe An, Connor Baumler, Abhilasha Sancheti, Rachel Rudinger
2025	J	`jnl`	On the Mutual Influence of Gender and Occupation in LLM Representations. CoRR Haozhe An, Connor Baumler, Abhilasha Sancheti, Rachel Rudinger
2024	J	`jnl`	How much reliable is ChatGPT's prediction on Information Extraction under Input Perturbations? CoRR Ishani Mondal, Abhilasha Sancheti
2024	A*	`conf`	On the Influence of Gender and Race in Romantic Relationship Prediction from Large Language Models. EMNLP Abhilasha Sancheti, Haozhe An, Rachel Rudinger
2024	J	`jnl`	On the Influence of Gender and Race in Romantic Relationship Prediction from Large Language Models. CoRR Abhilasha Sancheti, Haozhe An, Rachel Rudinger
2024	—	`conf`	On the robustness of Chatgpt under input perturbations for Named Entity Recognition Task. Tiny Papers @ ICLR Ishani Mondal, Abhilasha Sancheti
2024	—	`conf`	Post-Hoc Answer Attribution for Grounded and Trustworthy Long Document Comprehension: Task, Insights, and Challenges. *SEM@NAACL Abhilasha Sancheti, Koustava Goswami, Balaji Vasan Srinivasan
2024	J	`jnl`	Post-Hoc Answer Attribution for Grounded and Trustworthy Long Document Comprehension: Task, Insights, and Challenges. CoRR Abhilasha Sancheti, Koustava Goswami, Balaji Vasan Srinivasan
2023	A	`conf`	SALAD : Source-free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and Detection. WACV Divya Kothandaraman, Sumit Shekhar, Abhilasha Sancheti, Manoj Ghuhan, Tripti Shukla, Dinesh Manocha
2023	A*	`conf`	What to Read in a Contract? Party-Specific Summarization of Legal Obligations, Entitlements, and Prohibitions. EMNLP Abhilasha Sancheti, Aparna Garimella, Balaji Vasan Srinivasan, Rachel Rudinger
2022	A*	`conf`	Agent-Specific Deontic Modality Detection in Legal Language. EMNLP Abhilasha Sancheti, Aparna Garimella, Balaji Vasan Srinivasan, Rachel Rudinger
2022	J	`jnl`	Agent-Specific Deontic Modality Detection in Legal Language. CoRR Abhilasha Sancheti, Aparna Garimella, Balaji Vasan Srinivasan, Rachel Rudinger
2022	—	`conf`	CaM-Gen: Causally Aware Metric-Guided Text Generation. ACL (Findings) Navita Goyal, Roodram Paneri, Ayush Agarwal, Udit Kalani, Abhilasha Sancheti, Niyati Chhaya
2022	J	`jnl`	DistillAdapt: Source-Free Active Visual Domain Adaptation. CoRR Divya Kothandaraman, Sumit Shekhar, Abhilasha Sancheti, Manoj Ghuhan, Tripti Shukla, Dinesh Manocha
2022	A*	`conf`	Entailment Relation Aware Paraphrase Generation. AAAI Abhilasha Sancheti, Balaji Vasan Srinivasan, Rachel Rudinger
2022	J	`jnl`	Entailment Relation Aware Paraphrase Generation. CoRR Abhilasha Sancheti, Balaji Vasan Srinivasan, Rachel Rudinger
2022	—	`conf`	Text Simplification for Legal Domain: Insights and Challenges. NLLP@EMNLP Aparna Garimella, Abhilasha Sancheti, Vinay Aggarwal, Ananya Ganesh, Niyati Chhaya, Nandakishore Kambhatla
2022	—	`conf`	Videos2Doc: Generating Documents from a Collection of Procedural Videos. IUI Companion Tripti Shukla, Aanisha Bhattacharyya, Ayudh Saxena, Jeevana Kruthi Karnuthala, Abhinav Bohra, Bhanu Prakash Reddy Guda, Abhilasha Sancheti, Niyati Chhaya
2022	—	`conf`	What do Large Language Models Learn about Scripts? *SEM@NAACL-HLT Abhilasha Sancheti, Rachel Rudinger
2022	J	`jnl`	What to Read in a Contract? Party-Specific Summarization of Important Obligations, Entitlements, and Prohibitions in Legal Documents. CoRR Abhilasha Sancheti, Aparna Garimella, Balaji Vasan Srinivasan, Rachel Rudinger
2021	—	`conf`	Multi-Style Transfer with Discriminative Feedback on Disjoint Corpus. NAACL-HLT Navita Goyal, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Abhilasha Sancheti
2021	J	`jnl`	What do Large Language Models Learn about Scripts? CoRR Abhilasha Sancheti, Rachel Rudinger
2020	J	`jnl`	CaM-Gen: Causally-aware Metric-guided Text Generation. CoRR Navita Goyal, Roodram Paneri, Ayush Agarwal, Udit Kalani, Abhilasha Sancheti, Niyati Chhaya
2020	A	`conf`	Goal-driven Command Recommendations for Analysts. RecSys Samarth Aggarwal, Rohin Garg, Abhilasha Sancheti, Bhanu Prakash Reddy Guda, Iftikhar Ahamath Burhanuddin
2020	J	`jnl`	Goal-driven Command Recommendations for Analysts. CoRR Samarth Aggarwal, Rohin Garg, Abhilasha Sancheti, Bhanu Prakash Reddy Guda, Iftikhar Ahamath Burhanuddin
2020	—	`conf`	LynyrdSkynyrd at WNUT-2020 Task 2: Semi-Supervised Learning for Identification of Informative COVID-19 English Tweets. W-NUT@EMNLP Abhilasha Sancheti, Kushal Chawla, Gaurav Verma
2020	J	`jnl`	LynyrdSkynyrd at WNUT-2020 Task 2: Semi-Supervised Learning for Identification of Informative COVID-19 English Tweets. CoRR Abhilasha Sancheti, Kushal Chawla, Gaurav Verma
2020	J	`jnl`	Multi-dimensional Style Transfer for Partially Annotated Data using Language Models as Discriminators. CoRR Navita Goyal, Balaji Vasan Srinivasan, Anandhavelu Natarajan, Abhilasha Sancheti
2020	—	`conf`	Reinforced Rewards Framework for Text Style Transfer. ECIR (1) Abhilasha Sancheti, Kundan Krishna, Balaji Vasan Srinivasan, Anandhavelu Natarajan
2020	J	`jnl`	Reinforced Rewards Framework for Text Style Transfer. CoRR Abhilasha Sancheti, Kundan Krishna, Balaji Vasan Srinivasan, Anandhavelu Natarajan
2019	J	`jnl`	Understanding Blogs through the Lens of Readers' Comments. Computación y Sistemas Abhilasha Sancheti, Natwar Modani, Gautam Choudhary, Chintha Priyadarshini, Sai Sandeep Mparthi Moparthi
2018	—	`conf`	Harvesting Knowledge from Cultural Heritage Artifacts in Museums of India. PAKDD (2) Abhilasha Sancheti, Paridhi Maheshwari, Rajat Chaturvedi, Anish V. Monsy, Tanya Goyal, Balaji Vasan Srinivasan
2017	—	`conf`	Intent-Aware Contextual Recommendation System. ICDM Workshops Biswarup Bhattacharya, Iftikhar Burhanuddin, Abhilasha Sancheti, Kushal Satya
2017	J	`jnl`	Intent-Aware Contextual Recommendation System. CoRR Biswarup Bhattacharya, Iftikhar Burhanuddin, Abhilasha Sancheti, Kushal Satya

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.