Abhilasha Sancheti

Ph.D. in Computer Science

University of Maryland, College Park

About

I am a Ph.D. candidate at the Computer Science Department of University of Maryland, College Park. I am a member of CLIP lab and work with Prof. Rachel Rudinger. My research interests include long context understanding, preference-aligned text generation using RL rewards, and reasoning with a focus on evaluating LLMs for various capabilities by designing novel tasks, identifying social biases, and attributing the generated text for building trustworthy, and verifiable AI systems.

Prior to UMD, I worked as a Research Associate at Adobe Research, Bangalore, India and I am fortunate to have been able to continue my collaboration with them on long document understanding and answer attribution during my Ph.D.

I also got an opportunity to intern at Meta FAIR under the supervision of Maha Elbayad on analyzing text representations for large language modeling.

Link to Resume

Education

Ph.D. in Computer Science, 2024 (Expected)

University of Maryland, College Park
Masters in Computer Science, 2021

University of Maryland, College Park
B.Tech. in Computer Science and Engineering, 2017

Indian Institute of Technology Guwahati

Recent Publications

Abhilasha Sancheti^*, Haozhe An^*, and Rachel Rudinger. On the Influence of Gender and Race in Romantic Relationship Prediction from Large Language Models EMNLP 2024.

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Abhilasha Sancheti, Koustava Goswami, and Balaji Vasan Srinivasan. Post-Hoc Answer Attribution for Grounded and Trustworthy Long Document Comprehension: Task, Insights, and Challenges *SEM 2024.

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Ishani Mondal^*, and Abhilasha Sancheti^*. On The Robustness of ChatGPT Under Input Perturbations For Named Entity Recognition Task Tiny Paper at ICLR 2024.

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Abhilasha Sancheti, Aparna Garimella, Balaji Vasan Srinivasan, and Rachel Rudinger. What to Read in a Contract? Party-specific Summarization of Legal Obligations, Entitlements, and Prohibitions EMNLP 2023.

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Divya Kothandaraman, Sumit Shekhar, Abhilasha Sancheti, Manoj Ghuhan, Tripti Shukla, Dinesh Manocha. SALAD: Source-free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and Detection WACV 2023.

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Abhilasha Sancheti, Aparna Garimella, Balaji Vasan Srinivasan, and Rachel Rudinger. Agent-specific Deontic Modality Detection in Legal Language EMNLP 2022.

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Aparna Garimella^*, Abhilasha Sancheti^*, Vinay Aggarwal, Ananya Ganesh, Niyati Chhaya, and Nandakishore Kambhatla. Text Simplification for Legal Domain: Insights and Challenges NLLP@EMNLP 2022.

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Abhilasha Sancheti, and Rachel Rudinger. What do Large Language Models Learn about Scripts? *SEM 2022.

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Navita Goyal, Roodram Paneri, Ayush Agarwal, Udit Kalani, Abhilasha Sancheti, and Niyati Chhaya. CaM-Gen: Causally-aware Metric-guided Text Generation In Proceedings of the 2022 Conference of ACL (Findings), 2022.

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Tripti Shukla, Aanisha Bhattacharyya, Ayudh Saxena, Jeevana Kruthi Karnuthala, Abhinav Bohra, Bhanu Prakash Reddy Guda, Abhilasha Sancheti, and Niyati Chhaya. Videos2Doc: Generating Documents from a Collection of Procedural Videos In Proceedings of the 2022 Conference of IUI , 2022.

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Abhilasha Sancheti, Balaji Vasan Srinivasan, and Rachel Rudinger. Entailment Relation Aware Paraphrase Generation In Proceedings of the 2022 Conference of AAAI , 2022.

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Navita Goyal, Balaji Vasan Srinivasan, Anandhavelu Natarajan, and Abhilasha Sancheti . Multi-Style Transfer with Discriminative Feedback on Disjoint Corpus In Proceedings of the 2021 Conference of NAACL-HLT , 2021.

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Samarth Aggarwal, Rohin Garg, Abhilasha Sancheti, Bhanu Prakash Reddy Guda, and Iftikhar Ahamath Burhanuddin. Goal-driven Command Recommendations for Analysts In Proceedings of the 14th ACM Conference on Recommender Systems (RecSys) , 2020.

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Abhilasha Sancheti, Kundan Krishna, Balaji Vasan Srinivasan, and Anandhavelu Natrajan. Reinforced Rewards Framework for Text Style Transfer In European Conference on Information Retrieval Springer, Cham, 2020.

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Abhilasha Sancheti, Natwar Modani, Gautam Choudhary, Chinta Priyardarshini and Sai Sandeep Moparthi. Understanding Documents Through the Lens of Reader's Comments Conference on Computational Linguistics and Intelligent Text Processing, Computación y Sistemas, 23(3) 2019.

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Abhilasha Sancheti, Paridhi Maheshwari, Rajat Chaturvedi, Anish V. Monsy, Tanya Goyal and Balaji Vasan Srinivasan.. Harvesting Knowledge from Cultural Heritage Artifacts in Museums of India. In: Phung D., Tseng V., Webb G., Ho B., Ganji M., Rashidi L. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD, 2018.

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Biswarup Bhattacharya, Iftikhar Ahamath Burhanuddin, Abhilasha Sancheti and Kushal Satya. Intent-Aware Contextual Recommendation System In Data Mining Workshops (ICDMW), 17th IEEE International Conference on Data Mining (pp. 1-8) 2017.

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Co-authored Patents

Attribution methods for Document question answering
US Patent
Status: FILED

Generating and Utilizing Models for Long-range Event Relation Extraction
US Patent
Status: FILED

Image Description Generation with Varying Levels of Detail
US Patent
Status: FILED

Automated digital document generation from digital videos
US Patent
Status: FILED Document

System and methods for active domain adaptation
US Patent
Status: FILED Document

Multi-dimensional Language Style Transfer
US Patent
Status: PUBLISHED Document

Expressive Text-to-Speech utilizing Contextual Word-level Style Tokens
US Patent
Status: PUBLISHED Document

Intent-based Command Recommendation generation in an Analytic System
US Patent
Status: PUBLISHED Document

Method and System for Recommending Digital Content
US Patent
Status: PUBLISHED Document

Systems and methods for transferring stylistic expressions in machine translation of sequence data
US Patent
Status: PUBLSHED Document

Constructing enterprise-specifc knowledge graphs
US Patent
Status: PUBLISHED Document

Context-aware personal assistant for Analysts
US Patent
Status: PUBLISHED Document