15 citations · 17 across the 11 of their papers we have counts for
13 papers
On the Mutual Influence of Gender and Occupation in LLM Representations
Haozhe An, Connor Baumler, Abhilasha Sancheti +1
We examine LLM representations of gender for first names in various occupational contexts to study how occupations and the gender perception of first names in LLMs influence each o…
On the Influence of Gender and Race in Romantic Relationship Prediction from Large Language Models
Abhilasha Sancheti, Haozhe An, Rachel Rudinger
We study the presence of heteronormative biases and prejudice against interracial romantic relationships in large language models by performing controlled name-replacement experime…
Post-Hoc Answer Attribution for Grounded and Trustworthy Long Document Comprehension: Task, Insights, and Challenges
Abhilasha Sancheti, Koustava Goswami, Balaji Vasan Srinivasan
Attributing answer text to its source document for information-seeking questions is crucial for building trustworthy, reliable, and accountable systems. We formulate a new task of…
How much reliable is ChatGPT's prediction on Information Extraction under Input Perturbations?
Ishani Mondal, Abhilasha Sancheti
In this paper, we assess the robustness (reliability) of ChatGPT under input perturbations for one of the most fundamental tasks of Information Extraction (IE) i.e. Named Entity Re…
What to Read in a Contract? Party-Specific Summarization of Legal Obligations, Entitlements, and Prohibitions
Abhilasha Sancheti, Aparna Garimella, Balaji Vasan Srinivasan +1
Reviewing and comprehending key obligations, entitlements, and prohibitions in legal contracts can be a tedious task due to their length and domain-specificity. Furthermore, the ke…
Agent-Specific Deontic Modality Detection in Legal Language
Abhilasha Sancheti, Aparna Garimella, Balaji Vasan Srinivasan +1
Legal documents are typically long and written in legalese, which makes it particularly difficult for laypeople to understand their rights and duties. While natural language unders…
SALAD: Source-free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and Detection
Divya Kothandaraman, Sumit Shekhar, Abhilasha Sancheti +3
We present a novel method, SALAD, for the challenging vision task of adapting a pre-trained "source" domain network to a "target" domain, with a small budget for annotation in the…
Entailment Relation Aware Paraphrase Generation
Abhilasha Sancheti, Balaji Vasan Srinivasan, Rachel Rudinger
We introduce a new task of entailment relation aware paraphrase generation which aims at generating a paraphrase conforming to a given entailment relation (e.g. equivalent, forward…
What do Large Language Models Learn about Scripts?
Abhilasha Sancheti, Rachel Rudinger
Script Knowledge (Schank and Abelson, 1975) has long been recognized as crucial for language understanding as it can help in filling in unstated information in a narrative. However…
Multi-Style Transfer with Discriminative Feedback on Disjoint Corpus
Navita Goyal, Balaji Vasan Srinivasan, Anandhavelu Natarajan +1
Style transfer has been widely explored in natural language generation with non-parallel corpus by directly or indirectly extracting a notion of style from source and target domain…
LynyrdSkynyrd at WNUT-2020 Task 2: Semi-Supervised Learning for Identification of Informative COVID-19 English Tweets
Abhilasha Sancheti, Kushal Chawla, Gaurav Verma
We describe our system for WNUT-2020 shared task on the identification of informative COVID-19 English tweets. Our system is an ensemble of various machine learning methods, levera…
Reinforced Rewards Framework for Text Style Transfer
Abhilasha Sancheti, Kundan Krishna, Balaji Vasan Srinivasan +1
Style transfer deals with the algorithms to transfer the stylistic properties of a piece of text into that of another while ensuring that the core content is preserved. There has b…
Intent-Aware Contextual Recommendation System
Biswarup Bhattacharya, Iftikhar Burhanuddin, Abhilasha Sancheti +1
Recommender systems take inputs from user history, use an internal ranking algorithm to generate results and possibly optimize this ranking based on feedback. However, often the re…